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Author SHA1 Message Date
gavrielc 420fe5ecff setup skill: inject top-of-flow state via dynamic context
Replace the four auto-run commands that execute before the first user
decision (git upstream check, bash setup.sh, environment probe, timezone
probe) with `!`cmd`` dynamic-context placeholders so their output is
pre-rendered into the skill instead of Claude running them interactively.

Adds matching allowed-tools frontmatter so preprocessing runs without
per-command approval prompts. Later auto-run steps (container build,
mounts, service, verify) stay as body instructions — they depend on
mid-flow user choices and earlier state changes.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-19 10:30:16 +03:00
495 changed files with 9964 additions and 48033 deletions
+36
View File
@@ -1,5 +1,41 @@
{
"sandbox": {
"enabled": false
},
"permissions": {
"allow": [
"Bash(bash setup.sh*)",
"Bash(git remote *)",
"Bash(pnpm exec tsx setup/index.ts*)",
"Bash(pnpm exec tsx scripts/init-first-agent.ts*)",
"Bash(pnpm install @chat-adapter/*)",
"Bash(pnpm install chat-adapter-imessage*)",
"Bash(pnpm install @bitbasti/chat-adapter-webex*)",
"Bash(pnpm install @resend/chat-sdk-adapter*)",
"Bash(pnpm install @whiskeysockets/baileys*)",
"Bash(pnpm install @beeper/chat-adapter-matrix*)",
"Bash(pnpm install @nanoco/nanoclaw-dashboard*)",
"Bash(pnpm install --frozen-lockfile*)",
"Bash(pnpm run build*)",
"Bash(curl -fsSL onecli.sh*)",
"Bash(onecli *)",
"Bash(grep -q *)",
"Bash(echo *>> .env)",
"Bash(ls *)",
"Bash(cat ~/.config/nanoclaw/*)",
"Bash(tail *logs/*)",
"Bash(launchctl *nanoclaw*)",
"Bash(sqlite3 data/*)",
"Bash(docker info*)",
"Bash(docker logs *)",
"Bash(mkdir -p *)",
"Bash(cp .env *)",
"Bash(rsync -a .claude/skills/*)",
"Bash(head *)",
"Bash(xattr *)",
"Bash(find ~/.npm *)",
"Bash(which onecli*)",
"Bash(./container/build.sh*)"
]
}
}
@@ -1,49 +0,0 @@
# Remove Atomic Chat
Idempotent — safe to run even if some steps were never applied.
## 1. Delete the copied files (both trees)
```bash
rm -f container/agent-runner/src/atomic-chat-mcp-stdio.ts \
container/agent-runner/src/atomic-chat-registration.test.ts \
src/atomic-chat-env.ts \
src/atomic-chat-wiring.test.ts
```
## 2. Unregister the MCP server
In `container/agent-runner/src/index.ts`, remove the `atomic_chat: { … }` entry from the `mcpServers` object (leave `nanoclaw` and any other entries).
## 3. Revert the host-side edits in `src/container-runner.ts`
- Remove the `import { atomicChatEnvArgs } from './atomic-chat-env.js';` import.
- Remove the `args.push(...atomicChatEnvArgs());` line that follows the `TZ` env line.
- Restore the `container.stderr` logger to its single-line `log.debug(line, …)` form (remove the `[ATOMIC]` info-level branch).
## 4. Remove env vars
Remove the Atomic Chat block from `.env.example`, and the `ATOMIC_CHAT_*` lines from `.env` if you set them.
## 5. Rebuild and restart
Run from your NanoClaw project root:
```bash
pnpm run build && ./container/build.sh
source setup/lib/install-slug.sh
# macOS
launchctl kickstart -k gui/$(id -u)/$(launchd_label)
# Linux
systemctl --user restart $(systemd_unit)
```
## Verification
After removal, confirm the tool is gone — in a wired agent, asking it to "list atomic chat models" should report no such tool, and the logs should show no `[ATOMIC]` lines after the last restart:
```bash
grep "\[ATOMIC\]" logs/nanoclaw.log | tail -5
```
@@ -1,253 +0,0 @@
---
name: add-atomic-chat-tool
description: Add Atomic Chat MCP server so the container agent can call local models served by the Atomic Chat desktop app via its OpenAI-compatible API.
---
# Add Atomic Chat Integration
This skill adds a stdio-based MCP server that exposes models running in the local [Atomic Chat](https://github.com/AtomicBot-ai/Atomic-Chat) desktop app as tools for the container agent. Claude remains the orchestrator but can offload work to local models served by Atomic Chat on `http://127.0.0.1:1337/v1` (OpenAI-compatible).
Tools exposed:
- `atomic_chat_list_models` — list models currently available in Atomic Chat (`GET /v1/models`)
- `atomic_chat_generate` — send a prompt to a specified model and return the response (`POST /v1/chat/completions`)
Model management (download, delete) is done through the **Atomic Chat desktop UI** — the app is a fork of Jan and manages its own model library.
The skill ships the MCP server source (and its test) in this folder and copies them into the agent-runner tree at install time, then registers the server in `index.ts` and forwards host env vars in `container-runner.ts`. Registering the server is enough to expose its tools — the agent's allow-pattern (`mcp__atomic_chat__*`) is derived from the registered server name.
## Phase 1: Pre-flight
### Check if already applied
Check if `container/agent-runner/src/atomic-chat-mcp-stdio.ts` exists. If it does, skip to Phase 3 (Configure).
### Check prerequisites
Verify Atomic Chat is installed and its local API server is running. On the host:
```bash
curl -s http://127.0.0.1:1337/v1/models | head
```
If the request fails:
1. Install Atomic Chat from the [latest release](https://github.com/AtomicBot-ai/Atomic-Chat/releases) (macOS only for now — `atomic-chat.dmg`).
2. Open the app.
3. Open **Settings → Local API Server** and make sure it's enabled on port `1337`.
4. Go to the **Hub** (or **Models**) tab and download at least one model (e.g. Llama 3.2 3B, Qwen 2.5 Coder 7B).
5. Load the model once by sending any message in Atomic Chat's UI to warm it up.
## Phase 2: Apply Code Changes
### Copy the skill's source and tests into both trees
This skill reaches into both the container (Bun) tree and the host (Node) tree, so its
files go into both, alongside the integration points they cover.
```bash
S=.claude/skills/add-atomic-chat-tool
# Container (Bun) tree — the MCP server and the registration wiring test
cp $S/atomic-chat-mcp-stdio.ts container/agent-runner/src/atomic-chat-mcp-stdio.ts
cp $S/atomic-chat-registration.test.ts container/agent-runner/src/atomic-chat-registration.test.ts
# Host (Node) tree — the env-forwarding helper and the wiring test
cp $S/atomic-chat-env.ts src/atomic-chat-env.ts
cp $S/atomic-chat-wiring.test.ts src/atomic-chat-wiring.test.ts
```
### Register the MCP server in the agent-runner
Edit `container/agent-runner/src/index.ts`. Find the `mcpServers` object that currently looks like this:
```ts
const mcpServers: Record<string, { command: string; args: string[]; env: Record<string, string> }> = {
nanoclaw: {
command: 'bun',
args: ['run', mcpServerPath],
env: {},
},
};
```
Add an `atomic_chat` entry alongside `nanoclaw`:
```ts
const mcpServers: Record<string, { command: string; args: string[]; env: Record<string, string> }> = {
nanoclaw: {
command: 'bun',
args: ['run', mcpServerPath],
env: {},
},
atomic_chat: {
command: 'bun',
args: ['run', path.join(__dirname, 'atomic-chat-mcp-stdio.ts')],
env: {
...(process.env.ATOMIC_CHAT_HOST ? { ATOMIC_CHAT_HOST: process.env.ATOMIC_CHAT_HOST } : {}),
...(process.env.ATOMIC_CHAT_API_KEY ? { ATOMIC_CHAT_API_KEY: process.env.ATOMIC_CHAT_API_KEY } : {}),
},
},
};
```
`atomic-chat-registration.test.ts` asserts this entry is present and points at the server module — the tool only appears to the agent if it is registered here.
### Forward host env vars into the container
The env-forwarding logic lives in the copied `src/atomic-chat-env.ts` (`atomicChatEnvArgs()`), so the reach-in into `buildContainerArgs` is a single call.
Import it in `src/container-runner.ts` (alongside the other local imports):
```ts
import { atomicChatEnvArgs } from './atomic-chat-env.js';
```
Then, in `buildContainerArgs`, find the `TZ` env line and add the call right after it:
```ts
args.push('-e', `TZ=${TIMEZONE}`);
args.push(...atomicChatEnvArgs());
```
`atomic-chat-wiring.test.ts` asserts this `args.push(...atomicChatEnvArgs())` call exists inside `buildContainerArgs`.
### Surface `[ATOMIC]` log lines at info level
> **Shared block.** This rewrites the `container.stderr` logger, which other local-model tools (e.g. `add-ollama-tool` for `[OLLAMA]`) also edit to surface their own prefix. Touch only the `[ATOMIC]` branch and leave the rest of the block intact, so the edits coexist and removal restores it cleanly.
In the same file, find the stderr logger:
```ts
container.stderr?.on('data', (data) => {
for (const line of data.toString().trim().split('\n')) {
if (line) log.debug(line, { container: agentGroup.folder });
}
});
```
Replace it with:
```ts
container.stderr?.on('data', (data) => {
for (const line of data.toString().trim().split('\n')) {
if (!line) continue;
if (line.includes('[ATOMIC]')) {
log.info(line, { container: agentGroup.folder });
} else {
log.debug(line, { container: agentGroup.folder });
}
}
});
```
### Add env-var stubs to `.env.example`
Append to `.env.example`:
```bash
# Atomic Chat MCP tool (.claude/skills/add-atomic-chat-tool)
# Override the host where Atomic Chat exposes its OpenAI-compatible API.
# Default: http://host.docker.internal:1337 (with fallback to localhost)
# ATOMIC_CHAT_HOST=http://host.docker.internal:1337
# Optional API key. Leave unset for a local Atomic Chat install — it does not require auth.
# ATOMIC_CHAT_API_KEY=
```
### Validate code changes
```bash
pnpm run build
pnpm exec tsc -p container/agent-runner/tsconfig.json --noEmit
# Host tree: buildContainerArgs wiring
pnpm exec vitest run src/atomic-chat-wiring.test.ts
# Container tree: index.ts registration
(cd container/agent-runner && bun test src/atomic-chat-registration.test.ts)
./container/build.sh
```
All must be clean before proceeding. The wiring and registration tests confirm the two
integration points — the `buildContainerArgs` call and the `index.ts` registration — are
actually in place; a failure means one drifted. (The MCP server's own request/response
behavior against Atomic Chat is the author's build-time concern, not part of these tests —
verify it manually in Phase 4.)
## Phase 3: Configure
### Set Atomic Chat host (optional)
By default, the MCP server connects to `http://host.docker.internal:1337` (Docker Desktop) with a fallback to `localhost`. To use a custom host, add to `.env`:
```bash
ATOMIC_CHAT_HOST=http://your-atomic-chat-host:1337
```
### Set API key (optional)
Atomic Chat does **not require authentication** when running locally — leave this unset. Only set it if you've put Atomic Chat behind a reverse proxy that enforces auth:
```bash
ATOMIC_CHAT_API_KEY=sk-...
```
### Restart the service
Run from your NanoClaw project root:
```bash
source setup/lib/install-slug.sh
launchctl kickstart -k gui/$(id -u)/$(launchd_label) # macOS
# Linux: systemctl --user restart $(systemd_unit)
```
## Phase 4: Verify
### Test inference
Tell the user:
> Send a message like: "use atomic chat to tell me the capital of France"
>
> The agent should use `atomic_chat_list_models` to find available models, then `atomic_chat_generate` to get a response.
### Check logs if needed
```bash
tail -f logs/nanoclaw.log | grep -i atomic
```
Look for:
- `[ATOMIC] Listing models...` — list request started
- `[ATOMIC] Found N models` — models discovered
- `[ATOMIC] >>> Generating with <model>` — generation started
- `[ATOMIC] <<< Done: <model> | Xs | N tokens | M chars` — generation completed
## Troubleshooting
### Agent says "Atomic Chat is not installed" or tries to run a CLI
The agent is looking for a CLI that doesn't exist instead of using the MCP tools. This means:
1. The MCP server wasn't copied — check `container/agent-runner/src/atomic-chat-mcp-stdio.ts` exists
2. The MCP server wasn't registered — check `container/agent-runner/src/index.ts` has the `atomic_chat` entry in `mcpServers` (the allow-pattern is derived from this, so registration is the only thing to check)
3. The container wasn't rebuilt — run `./container/build.sh`
### "Failed to connect to Atomic Chat"
1. Verify the host API is reachable: `curl http://127.0.0.1:1337/v1/models`
2. Confirm the Local API Server is enabled in Atomic Chat's settings
3. Check Docker can reach the host: `docker run --rm curlimages/curl curl -s http://host.docker.internal:1337/v1/models`
4. If using a custom host, check `ATOMIC_CHAT_HOST` in `.env`
### `model not found` / 404 on generate
The model ID passed to `atomic_chat_generate` must exactly match one of the IDs returned by `atomic_chat_list_models`. Ask the agent to list models first, then pick one from that list.
### Slow first response
Atomic Chat lazy-loads models into memory on first use. The initial call may take longer while the model warms up. Subsequent calls against the same model are fast.
### Agent doesn't use Atomic Chat tools
The agent may not know about the tools. Try being explicit: "use the atomic_chat_generate tool with llama3.2-3b-instruct to answer: ..."
### Context window or output size issues
Atomic Chat respects each model's native context length. If you hit limits, pass `max_tokens` explicitly when calling `atomic_chat_generate`, or switch to a model with a larger context window in the Atomic Chat UI.
@@ -1,18 +0,0 @@
/**
* Host-side env forwarding for the Atomic Chat MCP tool. Returns the Docker `-e`
* arguments that pass any `ATOMIC_CHAT_*` host overrides into the container.
*
* Lives in its own file so the reach-in in `container-runner.ts` is a single call
* (`args.push(...atomicChatEnvArgs())`) and this logic is behavior-testable in
* isolation, without invoking the OneCLI-entangled `buildContainerArgs`.
*/
export function atomicChatEnvArgs(): string[] {
const args: string[] = [];
if (process.env.ATOMIC_CHAT_HOST) {
args.push('-e', `ATOMIC_CHAT_HOST=${process.env.ATOMIC_CHAT_HOST}`);
}
if (process.env.ATOMIC_CHAT_API_KEY) {
args.push('-e', `ATOMIC_CHAT_API_KEY=${process.env.ATOMIC_CHAT_API_KEY}`);
}
return args;
}
@@ -1,229 +0,0 @@
/**
* Atomic Chat MCP Server for NanoClaw
* Exposes local Atomic Chat models (OpenAI-compatible, /v1) as tools for the container agent.
* Uses host.docker.internal to reach the host's Atomic Chat desktop app from Docker.
*/
import { McpServer } from '@modelcontextprotocol/sdk/server/mcp.js';
import { StdioServerTransport } from '@modelcontextprotocol/sdk/server/stdio.js';
import { z } from 'zod';
import fs from 'fs';
import path from 'path';
const ATOMIC_CHAT_HOST =
process.env.ATOMIC_CHAT_HOST || 'http://host.docker.internal:1337';
const ATOMIC_CHAT_API_KEY = process.env.ATOMIC_CHAT_API_KEY || '';
const ATOMIC_CHAT_STATUS_FILE = '/workspace/ipc/atomic_chat_status.json';
function log(msg: string): void {
console.error(`[ATOMIC] ${msg}`);
}
function writeStatus(status: string, detail?: string): void {
try {
const data = { status, detail, timestamp: new Date().toISOString() };
const tmpPath = `${ATOMIC_CHAT_STATUS_FILE}.tmp`;
fs.mkdirSync(path.dirname(ATOMIC_CHAT_STATUS_FILE), { recursive: true });
fs.writeFileSync(tmpPath, JSON.stringify(data));
fs.renameSync(tmpPath, ATOMIC_CHAT_STATUS_FILE);
} catch {
/* best-effort */
}
}
async function atomicFetch(
apiPath: string,
options?: RequestInit,
): Promise<Response> {
const url = `${ATOMIC_CHAT_HOST}${apiPath}`;
const headers: Record<string, string> = {
...((options?.headers as Record<string, string>) || {}),
};
if (ATOMIC_CHAT_API_KEY) {
headers.Authorization = `Bearer ${ATOMIC_CHAT_API_KEY}`;
}
const finalOptions: RequestInit = { ...options, headers };
try {
return await fetch(url, finalOptions);
} catch (err) {
// Fallback to localhost if host.docker.internal fails
if (ATOMIC_CHAT_HOST.includes('host.docker.internal')) {
const fallbackUrl = url.replace('host.docker.internal', 'localhost');
return await fetch(fallbackUrl, finalOptions);
}
throw err;
}
}
const server = new McpServer({
name: 'atomic_chat',
version: '1.0.0',
});
server.tool(
'atomic_chat_list_models',
'List all models available in the local Atomic Chat desktop app. Use this to see which models are loaded before calling atomic_chat_generate.',
{},
async () => {
log('Listing models...');
writeStatus('listing', 'Listing available models');
try {
const res = await atomicFetch('/v1/models');
if (!res.ok) {
return {
content: [
{
type: 'text' as const,
text: `Atomic Chat API error: ${res.status} ${res.statusText}`,
},
],
isError: true,
};
}
const data = (await res.json()) as {
data?: Array<{ id: string; owned_by?: string }>;
};
const models = data.data || [];
if (models.length === 0) {
return {
content: [
{
type: 'text' as const,
text: 'No models available. Open Atomic Chat on the host and download a model from the Hub.',
},
],
};
}
const list = models
.map((m) => `- ${m.id}${m.owned_by ? ` (${m.owned_by})` : ''}`)
.join('\n');
log(`Found ${models.length} models`);
return {
content: [
{ type: 'text' as const, text: `Available models:\n${list}` },
],
};
} catch (err) {
return {
content: [
{
type: 'text' as const,
text: `Failed to connect to Atomic Chat at ${ATOMIC_CHAT_HOST}: ${err instanceof Error ? err.message : String(err)}`,
},
],
isError: true,
};
}
},
);
server.tool(
'atomic_chat_generate',
'Send a prompt to a local Atomic Chat model and get a response. Good for cheaper/faster tasks like summarization, translation, or general queries. Use atomic_chat_list_models first to see available models.',
{
model: z
.string()
.describe(
'The model ID as returned by atomic_chat_list_models (e.g. "llama3.2-3b-instruct")',
),
prompt: z.string().describe('The prompt to send to the model'),
system: z
.string()
.optional()
.describe('Optional system prompt to set model behavior'),
temperature: z
.number()
.optional()
.describe('Sampling temperature (0.02.0). Defaults to model default.'),
max_tokens: z
.number()
.optional()
.describe('Maximum number of tokens to generate in the response.'),
},
async (args) => {
log(`>>> Generating with ${args.model} (${args.prompt.length} chars)...`);
writeStatus('generating', `Generating with ${args.model}`);
try {
const messages: Array<{ role: string; content: string }> = [];
if (args.system) {
messages.push({ role: 'system', content: args.system });
}
messages.push({ role: 'user', content: args.prompt });
const body: Record<string, unknown> = {
model: args.model,
messages,
stream: false,
};
if (args.temperature !== undefined) body.temperature = args.temperature;
if (args.max_tokens !== undefined) body.max_tokens = args.max_tokens;
const startedAt = Date.now();
const res = await atomicFetch('/v1/chat/completions', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify(body),
});
if (!res.ok) {
const errorText = await res.text();
return {
content: [
{
type: 'text' as const,
text: `Atomic Chat error (${res.status}): ${errorText}`,
},
],
isError: true,
};
}
const data = (await res.json()) as {
choices?: Array<{ message?: { content?: string } }>;
usage?: {
prompt_tokens?: number;
completion_tokens?: number;
total_tokens?: number;
};
};
const response = data.choices?.[0]?.message?.content ?? '';
const elapsedSec = ((Date.now() - startedAt) / 1000).toFixed(1);
const completionTokens = data.usage?.completion_tokens;
const meta = `\n\n[${args.model} | ${elapsedSec}s${
completionTokens !== undefined ? ` | ${completionTokens} tokens` : ''
}]`;
log(
`<<< Done: ${args.model} | ${elapsedSec}s | ${
completionTokens ?? '?'
} tokens | ${response.length} chars`,
);
writeStatus(
'done',
`${args.model} | ${elapsedSec}s | ${completionTokens ?? '?'} tokens`,
);
return { content: [{ type: 'text' as const, text: response + meta }] };
} catch (err) {
return {
content: [
{
type: 'text' as const,
text: `Failed to call Atomic Chat: ${err instanceof Error ? err.message : String(err)}`,
},
],
isError: true,
};
}
},
);
const transport = new StdioServerTransport();
await server.connect(transport);
@@ -1,65 +0,0 @@
/**
* Wiring test for the MCP-server registration integration point (container/Bun tree).
*
* The handlers are behavior-tested in atomic-chat-mcp-stdio.test.ts, but that does not
* prove the server is registered — delete the index.ts entry and the tool simply never
* appears, yet the handler test stays green. index.ts is the container boot entry and is
* not cheaply invocable, so we assert the registration structurally: the `mcpServers`
* object literal has an `atomic_chat` property whose command runs `atomic-chat-mcp-stdio.ts`.
*/
import fs from 'fs';
import path from 'path';
import { describe, it, expect } from 'bun:test';
import ts from 'typescript';
function sourceFile(): ts.SourceFile {
const p = path.join(import.meta.dir, 'index.ts');
return ts.createSourceFile(p, fs.readFileSync(p, 'utf8'), ts.ScriptTarget.Latest, true);
}
/** Find the object literal assigned to `const mcpServers = { ... }`. */
function mcpServersLiteral(sf: ts.SourceFile): ts.ObjectLiteralExpression | undefined {
let found: ts.ObjectLiteralExpression | undefined;
const visit = (node: ts.Node) => {
if (
ts.isVariableDeclaration(node) &&
ts.isIdentifier(node.name) &&
node.name.text === 'mcpServers' &&
node.initializer &&
ts.isObjectLiteralExpression(node.initializer)
) {
found = node.initializer;
}
if (!found) ts.forEachChild(node, visit);
};
visit(sf);
return found;
}
function property(obj: ts.ObjectLiteralExpression, name: string): ts.PropertyAssignment | undefined {
return obj.properties.find(
(p): p is ts.PropertyAssignment =>
ts.isPropertyAssignment(p) &&
((ts.isIdentifier(p.name) && p.name.text === name) ||
(ts.isStringLiteral(p.name) && p.name.text === name)),
);
}
describe('index.ts registers the atomic_chat MCP server', () => {
const obj = mcpServersLiteral(sourceFile());
it('finds the mcpServers object literal', () => {
expect(obj).toBeDefined();
});
it('has an atomic_chat entry', () => {
expect(obj && property(obj, 'atomic_chat')).toBeDefined();
});
it('points atomic_chat at atomic-chat-mcp-stdio.ts', () => {
const entry = obj && property(obj, 'atomic_chat');
const text = entry ? entry.getText() : '';
expect(text).toContain('atomic-chat-mcp-stdio.ts');
});
});
@@ -1,69 +0,0 @@
/**
* Wiring test for the host-side env-forwarding integration point (host/vitest tree).
*
* The env helper is behavior-tested in atomic-chat-env.test.ts, but that does not prove
* buildContainerArgs actually uses it — a direct unit test stays green even if the reach-in
* is deleted. buildContainerArgs is entangled with OneCLI and not cheaply invocable, so we
* assert the integration structurally: inside buildContainerArgs there is an
* `args.push(...atomicChatEnvArgs())` call. Delete the reach-in and this goes red.
*/
import fs from 'fs';
import path from 'path';
import { describe, it, expect } from 'vitest';
import ts from 'typescript';
function sourceFile(): ts.SourceFile {
const p = path.resolve(process.cwd(), 'src/container-runner.ts');
return ts.createSourceFile(p, fs.readFileSync(p, 'utf8'), ts.ScriptTarget.Latest, true);
}
function findFunction(sf: ts.SourceFile, name: string): ts.FunctionDeclaration | undefined {
let found: ts.FunctionDeclaration | undefined;
const visit = (node: ts.Node) => {
if (ts.isFunctionDeclaration(node) && node.name?.text === name) found = node;
if (!found) ts.forEachChild(node, visit);
};
visit(sf);
return found;
}
/** Is this node `args.push(...atomicChatEnvArgs())`? */
function isSpreadPushOfEnvArgs(node: ts.Node): boolean {
if (!ts.isCallExpression(node)) return false;
const callee = node.expression;
if (
!ts.isPropertyAccessExpression(callee) ||
callee.name.text !== 'push' ||
!ts.isIdentifier(callee.expression) ||
callee.expression.text !== 'args'
) {
return false;
}
return node.arguments.some(
(arg) =>
ts.isSpreadElement(arg) &&
ts.isCallExpression(arg.expression) &&
ts.isIdentifier(arg.expression.expression) &&
arg.expression.expression.text === 'atomicChatEnvArgs',
);
}
describe('container-runner.ts wires in atomicChatEnvArgs', () => {
const sf = sourceFile();
const fn = findFunction(sf, 'buildContainerArgs');
it('finds buildContainerArgs', () => {
expect(fn).toBeDefined();
});
it('calls args.push(...atomicChatEnvArgs()) inside buildContainerArgs', () => {
let wired = false;
const visit = (node: ts.Node) => {
if (isSpreadPushOfEnvArgs(node)) wired = true;
if (!wired) ts.forEachChild(node, visit);
};
if (fn?.body) visit(fn.body);
expect(wired).toBe(true);
});
});
-78
View File
@@ -1,78 +0,0 @@
# Remove the Codex agent provider
Reverses every change `/add-codex` makes and returns every group to the default provider. Safe to run when partially installed — skip any step whose target is already absent.
## 1. Switch codex groups back to the default
List groups still on codex and switch each one (each group's `memory/` tree stays on disk and readable; run `/migrate-memory` per group if its memory should carry back to Claude — see [docs/provider-migration.md](../../docs/provider-migration.md)):
```bash
ncl groups list
# for each group whose config shows provider=codex:
ncl groups config update --id <group-id> --provider claude
ncl groups restart --id <group-id>
```
## 2. Delete the barrel imports
Delete (do not comment out) the `import './codex.js';` line from each of:
- `src/providers/index.ts`
- `container/agent-runner/src/providers/index.ts`
- `setup/providers/index.ts`
## 3. Delete every copied file
```bash
rm -f src/providers/codex.ts \
src/providers/codex-agents-md.ts \
src/providers/codex-registration.test.ts \
src/providers/codex-host-contribution.test.ts \
src/providers/codex-agents-md.test.ts \
container/agent-runner/src/providers/codex.ts \
container/agent-runner/src/providers/codex-app-server.ts \
container/agent-runner/src/providers/exchange-archive.ts \
container/agent-runner/src/providers/exchange-archive.test.ts \
container/agent-runner/src/providers/codex-registration.test.ts \
container/agent-runner/src/providers/codex.factory.test.ts \
container/agent-runner/src/providers/codex.turns.test.ts \
container/agent-runner/src/providers/codex-app-server.test.ts \
container/agent-runner/src/providers/codex-cli-tools.test.ts \
setup/providers/codex.ts \
setup/providers/codex.test.ts \
setup/providers/codex-registration.test.ts
```
This skill itself (`.claude/skills/add-codex/`) stays — it ships with trunk so the provider can be re-added later.
`container/AGENTS.md` stays only if another installed provider uses agent surfaces; otherwise remove it too.
## 4. Remove the CLI manifest entry
Delete the `@openai/codex` entry from `container/cli-tools.json`:
```bash
node -e '
const fs = require("fs");
const file = "container/cli-tools.json";
const tools = JSON.parse(fs.readFileSync(file, "utf8")).filter((t) => t.name !== "@openai/codex");
const fmt = (t) => " { " + Object.entries(t).map(([k, v]) => JSON.stringify(k) + ": " + JSON.stringify(v)).join(", ") + " }";
fs.writeFileSync(file, "[\n" + tools.map(fmt).join(",\n") + "\n]\n");
'
```
## 5. Vault secret (optional)
The ChatGPT/OpenAI secret in the OneCLI vault grants nothing once the provider is gone. To remove it: `onecli secrets list`, then `onecli secrets delete --id <id>` for the `chatgpt.com` / `api.openai.com` entry.
## 6. Rebuild and verify
```bash
pnpm run build
pnpm exec tsc -p container/agent-runner/tsconfig.json --noEmit
./container/build.sh
pnpm test
cd container/agent-runner && bun test
```
All suites green and `ncl groups list` showing no codex groups means the removal is complete. Restart the service (`launchctl kickstart -k gui/$(id -u)/<label>` on macOS, `systemctl --user restart <unit>` on Linux).
-144
View File
@@ -1,144 +0,0 @@
---
name: add-codex
description: Use Codex (OpenAI's codex app-server) as a full agent provider — planning, tool orchestration, MCP tools, server-side history, session resume — alongside or instead of Claude. ChatGPT subscription or OpenAI API key, vault-only via OneCLI. Per-group via `ncl groups config update --provider codex`. Distinct from using OpenAI as an MCP tool (where Claude remains the planner).
---
# Codex agent provider
> Shortcut: `pnpm exec tsx setup/index.ts --step provider-auth codex` performs this whole install (manifest-driven from the providers branch: files, barrels, CLI manifest entry, image rebuild) plus auth in one command. The steps below are the same operations, for agent-driven or manual application.
NanoClaw selects each group's agent backend from `container_configs.provider` (default `claude`). This skill installs the Codex provider: copy the payload from the `providers` branch, append one import to each of the three provider barrels, add the pinned Codex CLI to the container manifest (`container/cli-tools.json`), rebuild, then run the vault auth walk-through.
The provider runs `codex app-server` as a child process speaking JSON-RPC over stdio: native streaming, MCP tools, server-side conversation history (the continuation is a thread id, no on-disk transcript). Credentials are **vault-only**: OneCLI serves a sentinel `auth.json` stub into the container and swaps the real ChatGPT token or API key on the wire — no key in `.env`, nothing readable in the container.
## Install
### Pre-flight
Check whether the payload is already wired (a prior apply, or a trunk that still carries it). All of these present means installed — skip to **Authenticate**:
- `src/providers/codex.ts` and `src/providers/codex-agents-md.ts`
- `container/agent-runner/src/providers/codex.ts` and `codex-app-server.ts`
- `setup/providers/codex.ts`
- `import './codex.js';` in `src/providers/index.ts`, `container/agent-runner/src/providers/index.ts`, and `setup/providers/index.ts`
- an `@openai/codex` entry in `container/cli-tools.json`
### Fetch and copy
```bash
git fetch origin providers
```
Copy each file with `git show origin/providers:<path> > <path>` (additive — never merge the branch):
Host (`src/providers/`):
- `codex.ts` — provider contribution: per-group `.codex-shared` state dir, AGENTS.md compose, skill links
- `codex-agents-md.ts` — AGENTS.md composition (32KB Codex cap: degrades by dropping the largest instruction sections, never blocks a spawn)
- `codex-registration.test.ts` — barrel-driven host registration guard
- `codex-host-contribution.test.ts` — drives the real contribution against a real test DB (the "consumes core" leg)
- `codex-agents-md.test.ts` — cap-degradation behavior
Container (`container/agent-runner/src/providers/`):
- `codex.ts` — the provider (turn loop, steering, memory scaffold + `onExchangeComplete` archiving)
- `codex-app-server.ts` — JSON-RPC child-process wrapper
- `exchange-archive.ts` — per-exchange markdown writer the `onExchangeComplete` hook uses (provider-owned, not runner code)
- `exchange-archive.test.ts` — writer behavior
- `codex-registration.test.ts` — barrel-driven container registration guard
- `codex.factory.test.ts`, `codex.turns.test.ts`, `codex-app-server.test.ts` — provider behavior
- `codex-cli-tools.test.ts` — structural guard for the Codex entry in `container/cli-tools.json`
Setup (`setup/providers/`):
- `codex.ts` — picker entry self-registration + the vault auth walk-through + install check
- `codex.test.ts` — install-check coverage
- `codex-registration.test.ts` — barrel-driven setup registration guard
Shared base (skip if present):
- `container/AGENTS.md` — the runtime-contract base the composed AGENTS.md embeds
### Wire the barrels
Append `import './codex.js';` to each of:
- `src/providers/index.ts`
- `container/agent-runner/src/providers/index.ts`
- `setup/providers/index.ts`
### CLI manifest
The agent's global Node CLIs install from `container/cli-tools.json` (a json-merge seam), not hand-edited Dockerfile layers. Add Codex by appending one entry — `@openai/codex` has no native postinstall, so no `onlyBuilt`:
```bash
node -e '
const fs = require("fs");
const file = "container/cli-tools.json";
const tools = JSON.parse(fs.readFileSync(file, "utf8"));
if (!tools.some((t) => t.name === "@openai/codex")) {
tools.push({ name: "@openai/codex", version: "0.138.0" });
const fmt = (t) => " { " + Object.entries(t).map(([k, v]) => JSON.stringify(k) + ": " + JSON.stringify(v)).join(", ") + " }";
fs.writeFileSync(file, "[\n" + tools.map(fmt).join(",\n") + "\n]\n");
}
'
```
The version (`0.138.0`) is the canonical pin — keep it in sync with `setup/add-codex.sh`. The Dockerfile already installs every manifest entry via pinned `pnpm install -g`; no Dockerfile edit is needed.
### Build
```bash
pnpm run build
pnpm exec tsc -p container/agent-runner/tsconfig.json --noEmit
./container/build.sh
```
### Restart the host
The image rebuild does not reload the **host**. Codex's host contribution
(`src/providers/codex.ts`) registers the `/home/node/.codex` bind mount + env
passthrough, and the running host only picks it up on restart. Skip this and the
first Codex turn fails with `EACCES` writing `/home/node/.codex/config.toml`
with no mount, Docker auto-creates the dir root-owned and the non-root container
user can't write to it.
```bash
# macOS (launchd)
launchctl kickstart -k gui/$(id -u)/com.nanoclaw
# Linux (systemd)
systemctl --user restart nanoclaw
```
### Validate
```bash
pnpm vitest run src/providers/codex-registration.test.ts src/providers/codex-host-contribution.test.ts src/providers/codex-agents-md.test.ts setup/providers/
cd container/agent-runner && bun test src/providers/
```
The registration tests import only the real barrels — they go red if a barrel line is missing, a barrel fails to evaluate, or the payload is broken.
## Authenticate
> **Run this in a separate, real terminal — it is interactive.** It prompts for ChatGPT-subscription vs OpenAI-API-key and then drives a browser/device login, so it needs a TTY to answer prompts.
```bash
pnpm exec tsx setup/index.ts --step provider-auth codex
```
The same walk-through fresh installs get from the setup picker: ChatGPT subscription (browser login or device pairing) or an OpenAI API key, landed in the OneCLI vault. Idempotent — it short-circuits when a matching secret already exists. It finishes with the install check.
## Use it
Per group:
```bash
ncl groups config update --id <group-id> --provider codex
ncl groups restart --id <group-id>
```
Switching is an operator action — run it from the host. Memory does NOT carry over automatically — each provider keeps its own store; run `/migrate-memory` to carry it across. See [docs/provider-migration.md](../../docs/provider-migration.md) for the carry-over table and rollback.
There is no install-wide default provider. Setup's provider picker sets codex on the first agent it creates; creation itself is provider-agnostic (no `--provider` flag — provider is a DB property). Any group switches afterward via `ncl groups config update --provider` as above.
## Troubleshooting
- **Container dies at boot, channel silent:** `grep 'Container exited non-zero' logs/nanoclaw.error.log` — the `stderrTail` carries the reason (e.g. `Unknown provider: codex. Registered: claude` means the barrels aren't wired in the running build).
- **In-channel `Error: spawn codex ENOENT` on every message:** the image predates the manifest entry — re-run `./container/build.sh`.
- **Auth errors mid-conversation:** the vault secret is missing or stale — re-run `pnpm exec tsx setup/index.ts --step provider-auth codex` (subscription re-login updates the vault copy).
@@ -1,39 +0,0 @@
// Structural guard for the Codex CLI install in container/cli-tools.json.
//
// @openai/codex is a CLI *binary* installed from the global-CLI manifest (a
// json-merge seam), not an importable package, so the barrel-driven
// registration tests cannot see it. This test reads the real cli-tools.json
// and asserts the @openai/codex entry is present and pinned to an exact
// version. It goes red if the manifest entry is dropped or unpins.
//
// Runs under bun (same suite as the container registration test):
// cd container/agent-runner && bun test src/providers/codex-cli-tools.test.ts
import { existsSync, readFileSync } from 'fs';
import path from 'path';
import { describe, it, expect } from 'bun:test';
// container/agent-runner/src/providers/ -> container/cli-tools.json
const MANIFEST = path.join(import.meta.dir, '..', '..', '..', 'cli-tools.json');
const manifestPresent = existsSync(MANIFEST);
// Read lazily — `describe.skipIf` still runs the body to register tests, so the
// read has to be guarded for the bare-branch (no manifest) case.
const tools: Array<{ name: string; version: string }> = manifestPresent
? JSON.parse(readFileSync(MANIFEST, 'utf8'))
: [];
const codex = tools.find((t) => t.name === '@openai/codex');
// cli-tools.json is a trunk file; on the bare providers branch it isn't present,
// so skip there. In an installed tree (trunk + this payload) it must carry the
// pinned @openai/codex entry.
describe.skipIf(!manifestPresent)('container/cli-tools.json codex CLI install', () => {
it('includes the @openai/codex entry', () => {
expect(codex).toBeDefined();
});
it('pins it to an exact semver (no latest, no ranges)', () => {
expect(codex?.version).toMatch(/^\d+\.\d+\.\d+(?:[-+][0-9A-Za-z.-]+)?$/);
});
});
+135
View File
@@ -0,0 +1,135 @@
---
name: add-compact
description: Add /compact command for manual context compaction. Solves context rot in long sessions by forwarding the SDK's built-in /compact slash command. Main-group or trusted sender only.
---
# Add /compact Command
Adds a `/compact` session command that compacts conversation history to fight context rot in long-running sessions. Uses the Claude Agent SDK's built-in `/compact` slash command — no synthetic system prompts.
**Session contract:** `/compact` keeps the same logical session alive. The SDK returns a new session ID after compaction (via the `init` system message), which the agent-runner forwards to the orchestrator as `newSessionId`. No destructive reset occurs — the agent retains summarized context.
## Phase 1: Pre-flight
Check if `src/session-commands.ts` exists:
```bash
test -f src/session-commands.ts && echo "Already applied" || echo "Not applied"
```
If already applied, skip to Phase 3 (Verify).
## Phase 2: Apply Code Changes
Merge the skill branch:
```bash
git fetch upstream skill/compact
git merge upstream/skill/compact
```
> **Note:** `upstream` is the remote pointing to `qwibitai/nanoclaw`. If using a different remote name, substitute accordingly.
This adds:
- `src/session-commands.ts` (extract and authorize session commands)
- `src/session-commands.test.ts` (unit tests for command parsing and auth)
- Session command interception in `src/index.ts` (both `processGroupMessages` and `startMessageLoop`)
- Slash command handling in `container/agent-runner/src/index.ts`
### Validate
```bash
pnpm test
pnpm run build
```
### Rebuild container
```bash
./container/build.sh
```
### Restart service
```bash
launchctl kickstart -k gui/$(id -u)/com.nanoclaw # macOS
# Linux: systemctl --user restart nanoclaw
```
## Phase 3: Verify
### Integration Test
1. Start NanoClaw in dev mode: `pnpm run dev`
2. From the **main group** (self-chat), send exactly: `/compact`
3. Verify:
- The agent acknowledges compaction (e.g., "Conversation compacted.")
- The session continues — send a follow-up message and verify the agent responds coherently
- A conversation archive is written to `groups/{folder}/conversations/` (by the PreCompact hook)
- Container logs show `Compact boundary observed` (confirms SDK actually compacted)
- If `compact_boundary` was NOT observed, the response says "compact_boundary was not observed"
4. From a **non-main group** as a non-admin user, send: `@<assistant> /compact`
5. Verify:
- The bot responds with "Session commands require admin access."
- No compaction occurs, no container is spawned for the command
6. From a **non-main group** as the admin (device owner / `is_from_me`), send: `@<assistant> /compact`
7. Verify:
- Compaction proceeds normally (same behavior as main group)
8. While an **active container** is running for the main group, send `/compact`
9. Verify:
- The active container is signaled to close (authorized senders only — untrusted senders cannot kill in-flight work)
- Compaction proceeds via a new container once the active one exits
- The command is not dropped (no cursor race)
10. Send a normal message, then `/compact`, then another normal message in quick succession (same polling batch):
11. Verify:
- Pre-compact messages are sent to the agent first (check container logs for two `runAgent` calls)
- Compaction proceeds after pre-compact messages are processed
- Messages **after** `/compact` in the batch are preserved (cursor advances to `/compact`'s timestamp only) and processed on the next poll cycle
12. From a **non-main group** as a non-admin user, send `@<assistant> /compact`:
13. Verify:
- Denial message is sent ("Session commands require admin access.")
- The `/compact` is consumed (cursor advanced) — it does NOT replay on future polls
- Other messages in the same batch are also consumed (cursor is a high-water mark — this is an accepted tradeoff for the narrow edge case of denied `/compact` + other messages in the same polling interval)
- No container is killed or interrupted
14. From a **non-main group** (with `requiresTrigger` enabled) as a non-admin user, send bare `/compact` (no trigger prefix):
15. Verify:
- No denial message is sent (trigger policy prevents untrusted bot responses)
- The `/compact` is consumed silently
- Note: in groups where `requiresTrigger` is `false`, a denial message IS sent because the sender is considered reachable
16. After compaction, verify **no auto-compaction** behavior — only manual `/compact` triggers it
### Validation on Fresh Clone
```bash
git clone <your-fork> /tmp/nanoclaw-test
cd /tmp/nanoclaw-test
claude # then run /add-compact
pnpm run build
pnpm test
./container/build.sh
# Manual: send /compact from main group, verify compaction + continuation
# Manual: send @<assistant> /compact from non-main as non-admin, verify denial
# Manual: send @<assistant> /compact from non-main as admin, verify allowed
# Manual: verify no auto-compaction behavior
```
## Security Constraints
- **Main-group or trusted/admin sender only.** The main group is the user's private self-chat and is trusted (see `docs/SECURITY.md`). Non-main groups are untrusted — a careless or malicious user could wipe the agent's short-term memory. However, the device owner (`is_from_me`) is always trusted and can compact from any group.
- **No auto-compaction.** This skill implements manual compaction only. Automatic threshold-based compaction is a separate concern and should be a separate skill.
- **No config file.** NanoClaw's philosophy is customization through code changes, not configuration sprawl.
- **Transcript archived before compaction.** The existing `PreCompact` hook in the agent-runner archives the full transcript to `conversations/` before the SDK compacts it.
- **Session continues after compaction.** This is not a destructive reset. The conversation continues with summarized context.
## What This Does NOT Do
- No automatic compaction threshold (add separately if desired)
- No `/clear` command (separate skill, separate semantics — `/clear` is a destructive reset)
- No cross-group compaction (each group's session is isolated)
- No changes to the container image, Dockerfile, or build script
## Troubleshooting
- **"Session commands require admin access"**: Only the device owner (`is_from_me`) or main-group senders can use `/compact`. Other users are denied.
- **No compact_boundary in logs**: The SDK may not emit this event in all versions. Check the agent-runner logs for the warning message. Compaction may still have succeeded.
- **Pre-compact failure**: If messages before `/compact` fail to process, the error message says "Failed to process messages before /compact." The cursor advances past sent output to prevent duplicates; `/compact` remains pending for the next attempt.
+52 -38
View File
@@ -28,34 +28,61 @@ NanoClaw (pusher) Dashboard (npm package)
pnpm install @nanoco/nanoclaw-dashboard
```
### 2. Copy the pusher module and its tests
### 2. Copy the pusher module
Copy all three resource files into `src/`. The tests ship with the skill and run against the composed project — they're how you confirm the skill works and is wired in correctly.
Copy the resource file into src:
```
.claude/skills/add-dashboard/resources/dashboard-pusher.ts → src/dashboard-pusher.ts
.claude/skills/add-dashboard/resources/dashboard-pusher.test.ts → src/dashboard-pusher.test.ts
.claude/skills/add-dashboard/resources/dashboard-wiring.test.ts → src/dashboard-wiring.test.ts
.claude/skills/add-dashboard/resources/dashboard-pusher.ts → src/dashboard-pusher.ts
```
- `dashboard-pusher.test.ts` — behavior: starts the pusher, posts a real snapshot to a fake dashboard.
- `dashboard-wiring.test.ts` — the code edit in step 3: asserts (via the TS AST) that `index.ts` dynamically imports `./dashboard-pusher.js` and `await`s `startDashboard()` as colocated statements of `main()`, after DB init and before the boot-complete log. Delete or misplace the edit and this goes red.
### 3. Add exports to src/db/index.ts
### 3. Wire into src/index.ts
This is the skill's one integration point, and it's deliberately minimal and self-contained: all the startup logic lives in `dashboard-pusher.ts`, and the import is **colocated** with the call so the whole edit is a single block in one place — there's no separate top-of-file import to add (or to remember to remove).
Add this block inside `main()`, just before the `log.info('NanoClaw running')` line:
Add these two export blocks if not already present:
```typescript
// Dashboard (optional; no-ops without DASHBOARD_SECRET)
const { startDashboard } = await import('./dashboard-pusher.js');
await startDashboard();
// After the messaging-groups exports, add:
export {
getMessagingGroupsByAgentGroup,
} from './messaging-groups.js';
// Before the credentials exports, add:
export {
createDestination,
getDestinations,
getDestinationByName,
getDestinationByTarget,
hasDestination,
deleteDestination,
} from './agent-destinations.js';
```
`startDashboard()` reads `DASHBOARD_SECRET`/`DASHBOARD_PORT` itself and no-ops if the secret is unset, so nothing else in core needs to change.
### 4. Wire into src/index.ts
### 4. Add environment variables to .env
Add the `readEnvFile` import at the top if not already present:
```typescript
import { readEnvFile } from './env.js';
```
Add after step 7 (OneCLI approval handler), before the `log.info('NanoClaw running')` line:
```typescript
// 8. Dashboard (optional)
const dashboardEnv = readEnvFile(['DASHBOARD_SECRET', 'DASHBOARD_PORT']);
const dashboardSecret = process.env.DASHBOARD_SECRET || dashboardEnv.DASHBOARD_SECRET;
const dashboardPort = parseInt(process.env.DASHBOARD_PORT || dashboardEnv.DASHBOARD_PORT || '3100', 10);
if (dashboardSecret) {
const { startDashboard } = await import('@nanoco/nanoclaw-dashboard');
const { startDashboardPusher } = await import('./dashboard-pusher.js');
startDashboard({ port: dashboardPort, secret: dashboardSecret });
startDashboardPusher({ port: dashboardPort, secret: dashboardSecret, intervalMs: 60000 });
} else {
log.info('Dashboard disabled (no DASHBOARD_SECRET)');
}
```
### 5. Add environment variables to .env
```
DASHBOARD_SECRET=<generate-a-random-secret>
@@ -64,23 +91,15 @@ DASHBOARD_PORT=3100
Generate the secret: `node -e "console.log('nc-' + require('crypto').randomBytes(16).toString('hex'))"`
### 5. Build, test, and restart
Run from your NanoClaw project root:
### 6. Build and restart
```bash
pnpm run build
pnpm exec vitest run src/dashboard-pusher.test.ts src/dashboard-wiring.test.ts # behavior + wiring
source setup/lib/install-slug.sh
systemctl --user restart $(systemd_unit) # Linux
# or: launchctl kickstart -k gui/$(id -u)/$(launchd_label) # macOS
systemctl --user restart nanoclaw # Linux
# or: launchctl kickstart -k gui/$(id -u)/com.nanoclaw # macOS
```
Run `build` **before** the tests: it's what guards the `@nanoco/nanoclaw-dashboard` dependency. `dashboard-pusher.ts` reaches the package through `await import('@nanoco/nanoclaw-dashboard')`, so if step 4 was skipped, `pnpm run build` fails with `TS2307: Cannot find module`. The behavior test deliberately *mocks* that package — its `startDashboard` binds a real dashboard port, a side effect we don't want in a test — so the test alone would pass with the dependency missing. Build is therefore the leg that verifies the dependency is installed; keep it ahead of the tests in the validate step.
### 6. Verify (runtime smoke check)
Once the service is restarted, confirm the dashboard is live:
### 7. Verify
```bash
curl -s http://localhost:3100/api/status
@@ -110,15 +129,10 @@ Open `http://localhost:3100/dashboard` in a browser.
## Removal
Reverse the apply steps. Safe to re-run even if some pieces are already gone.
```bash
rm -f src/dashboard-pusher.ts src/dashboard-pusher.test.ts src/dashboard-wiring.test.ts
pnpm uninstall @nanoco/nanoclaw-dashboard 2>/dev/null || true
```
Then, by hand, remove the single dashboard block the skill added to `main()` in `src/index.ts` (the `// Dashboard (optional…)` comment, the `await import('./dashboard-pusher.js')` line, and the `await startDashboard();` call), and remove `DASHBOARD_SECRET` and `DASHBOARD_PORT` from `.env`.
```bash
pnpm uninstall @nanoco/nanoclaw-dashboard
rm src/dashboard-pusher.ts
# Remove the dashboard block from src/index.ts
# Remove DASHBOARD_SECRET and DASHBOARD_PORT from .env
pnpm run build
```
@@ -1,124 +0,0 @@
/**
* Integration test for the add-dashboard skill's integration point —
* `startDashboard()`, the single call wired into src/index.ts.
*
* Archetype: in-process seam. It drives the *real* entry point against a
* *real* (in-memory) central DB and a *fake* dashboard HTTP endpoint. The
* only things stubbed are the external dashboard package (not needed to prove
* the wiring) and env-file reads (so the test doesn't depend on the real
* .env). This proves the skill works once applied: with a secret set it
* collects a DB snapshot and posts it; with no secret it does nothing.
*
* Ships with the add-dashboard skill; apply copies it to src/ alongside the
* pusher so it runs against the composed project.
*/
import { describe, it, expect, beforeEach, afterEach, vi } from 'vitest';
import fs from 'fs';
import http from 'http';
import type { AddressInfo } from 'net';
vi.mock('./config.js', async () => {
const actual = await vi.importActual<typeof import('./config.js')>('./config.js');
return { ...actual, DATA_DIR: '/tmp/nanoclaw-test-dashboard', ASSISTANT_NAME: 'TestBot' };
});
// The dashboard server package isn't needed to prove the integration point.
vi.mock('@nanoco/nanoclaw-dashboard', () => ({ startDashboard: vi.fn() }));
// Don't read the real .env — the test controls config via process.env only.
vi.mock('./env.js', () => ({ readEnvFile: () => ({}) }));
const TEST_DIR = '/tmp/nanoclaw-test-dashboard';
import { initTestDb, closeDb, runMigrations, createAgentGroup } from './db/index.js';
import { startDashboard, stopDashboardPusher } from './dashboard-pusher.js';
function now(): string {
return new Date().toISOString();
}
interface CapturedPost {
path: string;
auth: string | undefined;
body: Record<string, unknown>;
}
/** A fake dashboard server that captures the bodies the pusher POSTs. */
function startFakeDashboard(): Promise<{ port: number; posts: CapturedPost[]; close: () => Promise<void> }> {
const posts: CapturedPost[] = [];
const server = http.createServer((req, res) => {
let raw = '';
req.on('data', (c) => { raw += c; });
req.on('end', () => {
let body: Record<string, unknown> = {};
try { body = JSON.parse(raw); } catch { /* leave empty */ }
posts.push({ path: req.url || '', auth: req.headers.authorization, body });
res.writeHead(200);
res.end('ok');
});
});
return new Promise((resolve) => {
server.listen(0, '127.0.0.1', () => {
const port = (server.address() as AddressInfo).port;
resolve({ port, posts, close: () => new Promise<void>((r) => server.close(() => r())) });
});
});
}
async function waitFor(pred: () => boolean, timeoutMs = 2000): Promise<void> {
const start = Date.now();
while (!pred()) {
if (Date.now() - start > timeoutMs) throw new Error('timed out waiting for condition');
await new Promise((r) => setTimeout(r, 20));
}
}
describe('add-dashboard integration point (startDashboard)', () => {
beforeEach(() => {
if (fs.existsSync(TEST_DIR)) fs.rmSync(TEST_DIR, { recursive: true });
const db = initTestDb();
runMigrations(db);
});
afterEach(() => {
stopDashboardPusher();
closeDb();
delete process.env.DASHBOARD_SECRET;
delete process.env.DASHBOARD_PORT;
if (fs.existsSync(TEST_DIR)) fs.rmSync(TEST_DIR, { recursive: true });
});
it('posts a snapshot of the seeded state when DASHBOARD_SECRET is set', async () => {
createAgentGroup({ id: 'ag-1', name: 'Test Agent', folder: 'test-agent', agent_provider: null, created_at: now() });
const dash = await startFakeDashboard();
process.env.DASHBOARD_SECRET = 'test-secret';
process.env.DASHBOARD_PORT = String(dash.port);
await startDashboard();
await waitFor(() => dash.posts.some((p) => p.path === '/api/ingest'));
const ingest = dash.posts.find((p) => p.path === '/api/ingest')!;
expect(ingest.auth).toBe('Bearer test-secret');
expect(ingest.body.assistant_name).toBe('TestBot');
const groups = ingest.body.agent_groups as Array<{ id: string }>;
expect(groups.map((g) => g.id)).toContain('ag-1');
for (const key of ['timestamp', 'sessions', 'channels', 'users', 'tokens', 'context_windows', 'activity', 'messages']) {
expect(ingest.body).toHaveProperty(key);
}
await dash.close();
});
it('does nothing when DASHBOARD_SECRET is not set', async () => {
const dash = await startFakeDashboard();
// no DASHBOARD_SECRET in env, and readEnvFile is stubbed to {}
await startDashboard();
await new Promise((r) => setTimeout(r, 100));
expect(dash.posts).toHaveLength(0);
await dash.close();
});
});
@@ -10,17 +10,15 @@ import Database from 'better-sqlite3';
import { getAllAgentGroups, getAgentGroup } from './db/agent-groups.js';
import { getSessionsByAgentGroup } from './db/sessions.js';
import { getAllMessagingGroups, getMessagingGroupAgents } from './db/messaging-groups.js';
import { getDestinations } from './modules/agent-to-agent/db/agent-destinations.js';
import { getMembers } from './modules/permissions/db/agent-group-members.js';
import { getAllUsers, getUser } from './modules/permissions/db/users.js';
import { getUserRoles, getAdminsOfAgentGroup } from './modules/permissions/db/user-roles.js';
import { getUserDmsForUser } from './modules/permissions/db/user-dms.js';
import { getDestinations } from './db/agent-destinations.js';
import { getMembers } from './db/agent-group-members.js';
import { getAllUsers, getUser } from './db/users.js';
import { getUserRoles, getAdminsOfAgentGroup } from './db/user-roles.js';
import { getUserDmsForUser } from './db/user-dms.js';
import { getActiveAdapters, getRegisteredChannelNames } from './channels/channel-registry.js';
import { DATA_DIR, ASSISTANT_NAME } from './config.js';
import { getDb } from './db/connection.js';
import { getContainerConfig } from './db/container-configs.js';
import { log } from './log.js';
import { readEnvFile } from './env.js';
interface PusherConfig {
port: number;
@@ -58,26 +56,6 @@ export function stopDashboardPusher(): void {
}
}
/**
* Skill entry point — the single call wired into the host boot sequence.
*
* All of the dashboard's startup logic lives here, in the skill's own file,
* so the integration point in src/index.ts is just `await startDashboard()`.
* No-ops (and says so) when DASHBOARD_SECRET is unset.
*/
export async function startDashboard(): Promise<void> {
const env = readEnvFile(['DASHBOARD_SECRET', 'DASHBOARD_PORT']);
const secret = process.env.DASHBOARD_SECRET || env.DASHBOARD_SECRET;
const port = parseInt(process.env.DASHBOARD_PORT || env.DASHBOARD_PORT || '3100', 10);
if (!secret) {
log.info('Dashboard disabled (no DASHBOARD_SECRET)');
return;
}
const { startDashboard: startServer } = await import('@nanoco/nanoclaw-dashboard');
startServer({ port, secret });
startDashboardPusher({ port, secret, intervalMs: 60000 });
}
/** Fire-and-forget POST to the dashboard. */
function postJson(config: PusherConfig, urlPath: string, data: unknown): void {
const body = JSON.stringify(data);
@@ -179,7 +157,7 @@ function collectAgentGroups() {
name: g.name,
folder: g.folder,
agent_provider: g.agent_provider,
container_config: getContainerConfig(g.id) ?? null,
container_config: g.container_config ? JSON.parse(g.container_config) : null,
sessionCount: sessions.length,
runningSessions: running.length,
wirings,
@@ -1,81 +0,0 @@
/**
* Wiring test for the add-dashboard skill's code-edit integration point.
*
* The skill inserts one colocated block into src/index.ts (a dynamic
* `import('./dashboard-pusher.js')` + `await startDashboard()` in main()). A
* behavioral test of the pusher can't see whether that edit is actually
* present and correctly placed — booting the real host is too heavy — so this
* asserts the edit *structurally*, via the TypeScript AST. It verifies not
* just that the call exists, but that:
* - the pusher module is dynamically imported by its correct path,
* - startDashboard() is awaited,
* - both are DIRECT statements of main()'s body (right scope/level, not
* nested or stranded in another function),
* - the import precedes the call, and the whole block sits after DB init
* and before the boot-complete log (right place).
*
* Delete or misplace the edit and this goes red. Combined with the unit test
* (behavior of startDashboard) and the build (the call still type-checks),
* the three together cover deletion, misplacement, drift, and behavior — for
* a true code edit, with no registry required.
*
* Ships with the skill; apply copies it to src/.
*/
import { describe, it, expect } from 'vitest';
import fs from 'fs';
import path from 'path';
import ts from 'typescript';
const indexPath = path.resolve(process.cwd(), 'src/index.ts');
const source = fs.readFileSync(indexPath, 'utf8');
const sf = ts.createSourceFile('index.ts', source, ts.ScriptTarget.Latest, true);
function mainBody(): ts.NodeArray<ts.Statement> {
let body: ts.NodeArray<ts.Statement> | undefined;
sf.forEachChild((n) => {
if (ts.isFunctionDeclaration(n) && n.name?.text === 'main' && n.body) {
body = n.body.statements;
}
});
if (!body) throw new Error('main() not found in src/index.ts');
return body;
}
function isAwaitedStartDashboard(s: ts.Statement): boolean {
return (
ts.isExpressionStatement(s) &&
ts.isAwaitExpression(s.expression) &&
ts.isCallExpression(s.expression.expression) &&
ts.isIdentifier(s.expression.expression.expression) &&
s.expression.expression.expression.text === 'startDashboard'
);
}
/** `const { ... } = await import('./dashboard-pusher.js')` as a statement. */
function isDynamicImportOfPusher(s: ts.Statement): boolean {
if (!ts.isVariableStatement(s)) return false;
const init = s.declarationList.declarations[0]?.initializer;
if (!init || !ts.isAwaitExpression(init) || !ts.isCallExpression(init.expression)) return false;
const call = init.expression;
if (call.expression.kind !== ts.SyntaxKind.ImportKeyword) return false;
const arg = call.arguments[0];
return !!arg && ts.isStringLiteral(arg) && arg.text === './dashboard-pusher.js';
}
describe('add-dashboard wiring in src/index.ts', () => {
it('dynamically imports the pusher and awaits startDashboard(), colocated in main(), after DB init and before the boot-complete log', () => {
const stmts = mainBody();
const importIdx = stmts.findIndex(isDynamicImportOfPusher);
const callIdx = stmts.findIndex(isAwaitedStartDashboard);
const migrateIdx = stmts.findIndex((s) => s.getText(sf).includes('runMigrations('));
const runningIdx = stmts.findIndex((s) => s.getText(sf).includes("log.info('NanoClaw running')"));
expect(importIdx, "dynamic import('./dashboard-pusher.js') must be a statement of main()").toBeGreaterThanOrEqual(0);
expect(callIdx, 'await startDashboard() must be a statement of main()').toBeGreaterThanOrEqual(0);
expect(migrateIdx, 'runMigrations() anchor not found').toBeGreaterThanOrEqual(0);
expect(runningIdx, 'boot-complete log anchor not found').toBeGreaterThanOrEqual(0);
expect(importIdx, 'the dynamic import must come after DB init').toBeGreaterThan(migrateIdx);
expect(callIdx, 'the call must come after its import (colocated)').toBeGreaterThan(importIdx);
expect(callIdx, 'startDashboard() must run before the boot-complete log').toBeLessThan(runningIdx);
});
});
-71
View File
@@ -1,71 +0,0 @@
# Remove DeltaChat
## 1. Remove the adapter
Delete the self-registration import from `src/channels/index.ts` (skip if already gone):
```typescript
import './deltachat.js';
```
Then delete the copied adapter and its registration test:
```bash
rm -f src/channels/deltachat.ts src/channels/deltachat-registration.test.ts
```
## 2. Remove credentials
Remove the `DC_*` lines from `.env`:
```bash
DC_EMAIL
DC_PASSWORD
DC_IMAP_HOST
DC_IMAP_PORT
DC_SMTP_HOST
DC_SMTP_PORT
```
## 3. Rebuild and restart
Run from your NanoClaw project root:
```bash
pnpm run build
source setup/lib/install-slug.sh
# Linux
systemctl --user restart $(systemd_unit)
# macOS
launchctl kickstart -k gui/$(id -u)/$(launchd_label)
```
## 4. Remove account data (optional)
To fully remove all account data including DeltaChat encryption keys:
```bash
rm -rf dc-account/
```
> **Warning:** This deletes the Autocrypt keys. Contacts who have verified your bot's key will need to re-verify if the same email address is re-used with a new account.
To keep the account for later reinstall, leave `dc-account/` intact.
## 5. Remove the package (optional)
```bash
pnpm remove @deltachat/stdio-rpc-server
```
## Verification
After removal, confirm the adapter is no longer starting:
```bash
grep "deltachat" logs/nanoclaw.log | tail -5
```
Expected: no `Channel adapter started` entry after the last restart.
-265
View File
@@ -1,265 +0,0 @@
---
name: add-deltachat
description: Add DeltaChat channel integration via @deltachat/stdio-rpc-server. Native adapter — no Chat SDK bridge. Email-based messaging with end-to-end encryption.
---
# Add DeltaChat Channel
The adapter drives the `@deltachat/stdio-rpc-server` JSON-RPC subprocess directly — pure Node.js against the DeltaChat core library. Messages are delivered over email with Autocrypt/OpenPGP encryption.
## Install
### Pre-flight (idempotent)
Skip to **Credentials** if all of these are already in place:
- `src/channels/deltachat.ts` exists
- `src/channels/deltachat-registration.test.ts` exists
- `src/channels/index.ts` contains `import './deltachat.js';`
- `@deltachat/stdio-rpc-server` is listed in `package.json` dependencies
Otherwise continue. Every step below is safe to re-run.
### 1. Fetch the channels branch
```bash
git fetch origin channels
```
### 2. Copy the adapter and its registration test
```bash
git show origin/channels:src/channels/deltachat.ts > src/channels/deltachat.ts
git show origin/channels:src/channels/deltachat-registration.test.ts > src/channels/deltachat-registration.test.ts
```
### 3. Append the self-registration import
Append to `src/channels/index.ts` (skip if already present):
```typescript
import './deltachat.js';
```
### 4. Install the adapter package (pinned)
```bash
pnpm install @deltachat/stdio-rpc-server@2.49.0
```
### 5. Build and validate
```bash
pnpm run build
pnpm exec vitest run src/channels/deltachat-registration.test.ts
```
Both must be clean before proceeding. `deltachat-registration.test.ts` is the one integration test: it imports the real channel barrel and asserts the registry contains `deltachat`. It goes red if the `import './deltachat.js';` line is deleted or drifts, if the barrel fails to evaluate (so the channel genuinely would not register), or if `@deltachat/stdio-rpc-server` isn't installed (the import throws) — so it also implicitly verifies the dependency from step 4. Importing is safe: deltachat instantiates the rpc client only in `setup()` (at host startup), never at import.
End-to-end message delivery against a real email account is verified manually once the service is running — see Wiring and Troubleshooting.
## Account Setup
A dedicated email account is strongly recommended — it will accumulate DeltaChat-formatted messages and store encryption keys. Not all providers work well with DeltaChat; check https://providers.delta.chat/ before picking one.
**Default security modes:** IMAP uses SSL/TLS (port 993), SMTP uses STARTTLS (port 587). Both are configurable via `.env` — see Credentials below.
To find the correct hostnames for a domain:
```bash
node -e "require('dns').resolveMx('example.com', (e,r) => console.log(r))"
```
Most providers publish their IMAP/SMTP hostnames in their help docs under "manual setup" or "IMAP access."
## Credentials
Add to `.env`:
```bash
DC_EMAIL=bot@example.com
DC_PASSWORD=your-app-password
DC_IMAP_HOST=imap.example.com
DC_IMAP_PORT=993
DC_IMAP_SECURITY=1 # 1=SSL/TLS (default), 2=STARTTLS, 3=plain
DC_SMTP_HOST=smtp.example.com
DC_SMTP_PORT=587
DC_SMTP_SECURITY=2 # 2=STARTTLS (default), 1=SSL/TLS, 3=plain
```
Security settings are applied on every startup, so changing them in `.env` and restarting takes effect without wiping the account.
Sync to container: `mkdir -p data/env && cp .env data/env/env`
### Optional settings
The following are read from the process environment (not `.env`). To override them, add `Environment=` lines to the systemd service unit or your launchd plist:
| Variable | Default | Description |
|----------|---------|-------------|
| `DC_ACCOUNT_DIR` | `dc-account` | Directory for DeltaChat account data (IMAP state, keys, blobs) |
| `DC_DISPLAY_NAME` | `NanoClaw` | Bot display name shown in DeltaChat |
| `DC_AVATAR_PATH` | _(none)_ | Absolute path to avatar image; set at startup only |
The `/set-avatar` command (send an image with that caption) is the easiest way to set the avatar at runtime without modifying the service file. Only users with `owner` or global `admin` role can use it.
### Restart
Run from your NanoClaw project root:
```bash
source setup/lib/install-slug.sh
# Linux
systemctl --user restart $(systemd_unit)
# macOS
launchctl kickstart -k gui/$(id -u)/$(launchd_label)
```
On first start the adapter configures the email account (IMAP/SMTP credentials, calls `configure()`). Subsequent starts skip straight to `startIo()`. Account data is stored in `dc-account/` in the project root (or your `DC_ACCOUNT_DIR`).
## Wiring
### DMs
**DeltaChat contacts cannot be added by email alone** — to start a chat, the user must open the bot's invite link in their DeltaChat app or scan its QR code. This triggers the SecureJoin handshake.
#### Step 1 — Get the invite link
After the service starts, the adapter logs the invite URL and writes a QR SVG:
```bash
grep "invite link" logs/nanoclaw.log | tail -1
# url field contains the https://i.delta.chat/... invite link
# also written to dc-account/invite-qr.svg (or $DC_ACCOUNT_DIR/invite-qr.svg)
```
The invite URL is stable (tied to the bot's email and encryption keys) so it stays valid across restarts.
#### Step 2 — Add the bot in DeltaChat
Two options for the user to connect:
- **Link**: Copy the `https://i.delta.chat/...` URL and open it on the device running DeltaChat. The app recognises it and shows a "Start chat" prompt.
- **QR code**: Open `dc-account/invite-qr.svg` in a browser or image viewer, display it on screen, and scan it from the DeltaChat app using the QR-scan button on the new-chat screen.
After accepting, DeltaChat exchanges keys and creates the chat automatically.
#### Step 3 — Wire the chat to an agent
Once the first message arrives the router auto-creates a `messaging_groups` row. Look up the chat ID:
```bash
pnpm exec tsx scripts/q.ts data/v2.db \
"SELECT platform_id, name FROM messaging_groups WHERE channel_type='deltachat' AND is_group=0 ORDER BY created_at DESC LIMIT 5"
```
Then run `/init-first-agent` — it creates the agent group, grants the user owner access, and wires the messaging group in one step:
```bash
pnpm exec tsx scripts/init-first-agent.ts \
--channel deltachat \
--user-id deltachat:user@example.com \
--platform-id <platform_id from above> \
--display-name "Your Name"
```
### Groups
Add the bot email to a DeltaChat group. When any member sends a message, the router creates a `messaging_groups` row with `is_group = 1`. Run `/manage-channels` to wire it to an agent group.
## Next Steps
If you're in the middle of `/setup`, return to the setup flow now.
Otherwise, run `/init-first-agent` to create an agent and wire it to your DeltaChat DM (see Wiring above), or `/manage-channels` to wire this channel to an existing agent group.
## Channel Info
- **type**: `deltachat`
- **terminology**: DeltaChat calls them "chats" (1:1 DMs) and "groups"
- **supports-threads**: no — DeltaChat has no thread model
- **platform-id-format**: numeric chat ID as a string (e.g. `"12"`) — the DeltaChat core's internal chat identifier
- **user-id-format**: `deltachat:{email}` — the contact's email address
- **how-to-find-id**: Send a message from DeltaChat to the bot email, then query `messaging_groups` as shown above
- **typical-use**: Personal assistant over DeltaChat DMs; small groups where participants use DeltaChat
- **default-isolation**: One agent per bot identity. Multiple chats with the same operator can share an agent group; groups with other people should typically use `isolated` session mode
### Features
- File attachments — inbound and outbound; inbound waits up to 30 seconds for large-message download to complete
- Invite link logged on every startup — URL + QR SVG written to `dc-account/invite-qr.svg`; see Wiring for the bootstrap flow
- `/set-avatar` — send an image with this caption to change the bot's DeltaChat avatar (admin/owner only)
- Connectivity watchdog — restarts IO if IMAP goes quiet for 20 minutes or connectivity drops below threshold for two consecutive 5-minute checks
- Network nudge — `maybeNetwork()` called every 10 minutes to recover from prolonged idle
Not supported: DeltaChat reactions, message editing/deletion, read receipts.
### Connectivity model
`isConnected()` returns `true` when the internal connectivity value is ≥ 3000:
| Range | Meaning |
|-------|---------|
| 10001999 | Not connected |
| 20002999 | Connecting |
| 30003999 | Working (IMAP fetching) |
| ≥ 4000 | Fully connected (IMAP IDLE) |
## Troubleshooting
### Adapter not starting — credentials missing
```bash
grep "Channel credentials missing" logs/nanoclaw.log | grep deltachat
```
All six required vars (`DC_EMAIL`, `DC_PASSWORD`, `DC_IMAP_HOST`, `DC_IMAP_PORT`, `DC_SMTP_HOST`, `DC_SMTP_PORT`) must be present in `.env`.
### Account configure fails
```bash
grep "DeltaChat" logs/nanoclaw.log | tail -20
```
Common causes:
- Wrong IMAP/SMTP hostnames — double-check provider docs
- App password not generated — Gmail and some others require this when 2FA is enabled
- Port/security mismatch — defaults are port 993 + SSL/TLS for IMAP and port 587 + STARTTLS for SMTP; override with `DC_IMAP_PORT`/`DC_IMAP_SECURITY` or `DC_SMTP_PORT`/`DC_SMTP_SECURITY` in `.env`
### Provider uses SMTP port 465 (SSL/TLS) instead of 587
Set `DC_SMTP_SECURITY=1` and `DC_SMTP_PORT=465` in `.env`, then restart.
### Messages not arriving
1. Check the service is running and the adapter started: `grep "Channel adapter started.*deltachat" logs/nanoclaw.log`
2. Check connectivity: `grep "DeltaChat: IO started" logs/nanoclaw.log`
3. Check the sender has been granted access — run `/init-first-agent` to create their user record and wire the chat
4. Verify the messaging group is wired: `pnpm exec tsx scripts/q.ts data/v2.db "SELECT mg.platform_id, mga.agent_group_id FROM messaging_groups mg JOIN messaging_group_agents mga ON mg.id = mga.messaging_group_id WHERE mg.channel_type='deltachat'"`
### Stale lock file after crash
```bash
rm -f dc-account/accounts.lock
systemctl --user restart "$(. setup/lib/install-slug.sh && systemd_unit)"
```
### Bot not responding after restart
The account is already configured — IO restarts automatically on service start. If the RPC subprocess is stuck, restart the service. Check for errors:
```bash
grep "DeltaChat" logs/nanoclaw.error.log | tail -20
```
### Messages received but agent not responding
The messaging group exists but may not be wired to an agent group. Run:
```bash
pnpm exec tsx scripts/q.ts data/v2.db "SELECT id, platform_id, name FROM messaging_groups WHERE channel_type='deltachat'"
```
If the group has no entry in `messaging_group_agents`, wire it with `/manage-channels`.
+4 -37
View File
@@ -1,40 +1,7 @@
# Remove Discord
Every step is idempotent — safe to re-run.
1. Comment out `import './discord.js'` in `src/channels/index.ts`
2. Remove `DISCORD_BOT_TOKEN` from `.env`
3. Rebuild and restart
## 1. Remove the adapter
Delete the self-registration import from `src/channels/index.ts` (skip if already gone):
```typescript
import './discord.js';
```
Then delete the copied adapter and its registration test:
```bash
rm -f src/channels/discord.ts src/channels/discord-registration.test.ts
```
## 2. Remove credentials
Remove `DISCORD_BOT_TOKEN`, `DISCORD_APPLICATION_ID`, and `DISCORD_PUBLIC_KEY` from `.env`, then re-sync to the container:
```bash
mkdir -p data/env && cp .env data/env/env
```
## 3. Remove the package
```bash
pnpm uninstall @chat-adapter/discord
```
## 4. Rebuild and restart
```bash
pnpm run build
source setup/lib/install-slug.sh
launchctl kickstart -k gui/$(id -u)/$(launchd_label) # macOS
# Linux: systemctl --user restart $(systemd_unit)
```
No package to uninstall — Discord is built in.
+4 -9
View File
@@ -16,7 +16,6 @@ NanoClaw doesn't ship channels in trunk. This skill copies the Discord adapter i
Skip to **Credentials** if all of these are already in place:
- `src/channels/discord.ts` exists
- `src/channels/discord-registration.test.ts` exists
- `src/channels/index.ts` contains `import './discord.js';`
- `@chat-adapter/discord` is listed in `package.json` dependencies
@@ -28,11 +27,10 @@ Otherwise continue. Every step below is safe to re-run.
git fetch origin channels
```
### 2. Copy the adapter and its registration test
### 2. Copy the adapter
```bash
git show origin/channels:src/channels/discord.ts > src/channels/discord.ts
git show origin/channels:src/channels/discord-registration.test.ts > src/channels/discord-registration.test.ts
git show origin/channels:src/channels/discord.ts > src/channels/discord.ts
```
### 3. Append the self-registration import
@@ -46,18 +44,15 @@ import './discord.js';
### 4. Install the adapter package (pinned)
```bash
pnpm install @chat-adapter/discord@4.27.0
pnpm install @chat-adapter/discord@4.26.0
```
### 5. Build and validate
### 5. Build
```bash
pnpm run build
pnpm exec vitest run src/channels/discord-registration.test.ts
```
Both must be clean before proceeding. `discord-registration.test.ts` is the one integration test: it imports the real channel barrel and asserts the registry contains `discord`. It goes red if the `import './discord.js';` line is deleted or drifts, if the barrel fails to evaluate, or if `@chat-adapter/discord` isn't installed (the import throws) — so it also implicitly verifies the dependency from step 4. The adapter also calls core's `createChatSdkBridge(...)`; that typed core-API consumption is guarded by `pnpm run build`.
## Credentials
### Create Discord Bot
+3
View File
@@ -0,0 +1,3 @@
# Verify Discord
Send a message in a channel where the bot has access, or DM the bot directly. The bot should respond within a few seconds.
-63
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@@ -1,63 +0,0 @@
# Remove Emacs
Every step is idempotent — safe to re-run.
## 1. Remove the adapter
Delete the self-registration import from `src/channels/index.ts` (skip if already gone):
```typescript
import './emacs.js';
```
Then delete the copied adapter, its tests, and the Lisp client:
```bash
rm -f src/channels/emacs.ts src/channels/emacs.test.ts src/channels/emacs-registration.test.ts emacs/nanoclaw.el
```
## 2. Remove credentials
Remove the `EMACS_*` lines from `.env`:
```bash
EMACS_ENABLED
EMACS_CHANNEL_PORT
EMACS_AUTH_TOKEN
EMACS_PLATFORM_ID
```
## 3. Rebuild and restart
Run from your NanoClaw project root:
```bash
pnpm run build
source setup/lib/install-slug.sh
# Linux
systemctl --user restart $(systemd_unit)
# macOS
launchctl kickstart -k gui/$(id -u)/$(launchd_label)
```
## 4. Remove the Emacs config (optional)
Remove the NanoClaw block from your Emacs config (`config.el`, `~/.spacemacs`, or `init.el`):
```elisp
;; NanoClaw — personal AI assistant channel
(load-file "~/src/nanoclaw/emacs/nanoclaw.el")
;; ...and the associated keybindings / nanoclaw-auth-token / nanoclaw-port settings
```
Reload your config or restart Emacs.
## 5. Remove the messaging group (optional)
To clean up the wired messaging group:
```bash
pnpm exec tsx scripts/q.ts data/v2.db "DELETE FROM messaging_group_agents WHERE messaging_group_id IN (SELECT id FROM messaging_groups WHERE channel_type='emacs'); DELETE FROM messaging_groups WHERE channel_type='emacs';"
```
+127 -132
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@@ -1,11 +1,12 @@
---
name: add-emacs
description: Add Emacs as a channel. Opens an interactive chat buffer and org-mode integration so you can talk to NanoClaw from within Emacs (Doom, Spacemacs, or vanilla). Local HTTP bridge — no bot token or external service needed.
description: Add Emacs as a channel. Opens an interactive chat buffer and org-mode integration so you can talk to NanoClaw from within Emacs (Doom, Spacemacs, or vanilla). Uses a local HTTP bridge — no bot token or external service needed.
---
# Add Emacs Channel
Adds Emacs support via a local HTTP bridge. Works with Doom Emacs, Spacemacs, and vanilla Emacs 27.1+.
This skill adds Emacs support to NanoClaw, then walks through interactive setup.
Works with Doom Emacs, Spacemacs, and vanilla Emacs 27.1+.
## What you can do with this
@@ -14,105 +15,95 @@ Adds Emacs support via a local HTTP bridge. Works with Doom Emacs, Spacemacs, an
- **Meeting notes** — send an org agenda entry; get a summary or action item list back as a child node
- **Draft writing** — send org prose; receive revisions or continuations in place
- **Research capture** — ask a question directly in your org notes; the answer lands exactly where you need it
- **Schedule tasks** — ask Andy to set a reminder or create a scheduled NanoClaw task (e.g. "remind me tomorrow to review the PR")
## Install
## Phase 1: Pre-flight
NanoClaw doesn't ship channels in trunk. This skill copies the Emacs adapter and the Lisp client in from the `channels` branch. Native HTTP bridge — no Chat SDK, no adapter package.
### Check if already applied
### Pre-flight (idempotent)
Skip to **Enable** if all of these are already in place:
- `src/channels/emacs.ts` exists
- `src/channels/emacs.test.ts` exists
- `src/channels/emacs-registration.test.ts` exists
- `emacs/nanoclaw.el` exists
- `src/channels/index.ts` contains `import './emacs.js';`
Otherwise continue. Every step below is safe to re-run.
### 1. Fetch the channels branch
Check if `src/channels/emacs.ts` exists:
```bash
git fetch origin channels
test -f src/channels/emacs.ts && echo "already applied" || echo "not applied"
```
### 2. Copy the adapter and Lisp client
If it exists, skip to Phase 3 (Setup). The code changes are already in place.
## Phase 2: Apply Code Changes
### Ensure the upstream remote
```bash
mkdir -p emacs
git show origin/channels:src/channels/emacs.ts > src/channels/emacs.ts
git show origin/channels:src/channels/emacs.test.ts > src/channels/emacs.test.ts
git show origin/channels:src/channels/emacs-registration.test.ts > src/channels/emacs-registration.test.ts
git show origin/channels:emacs/nanoclaw.el > emacs/nanoclaw.el
git remote -v
```
### 3. Append the self-registration import
If an `upstream` remote pointing to `https://github.com/qwibitai/nanoclaw.git` is missing,
add it:
Append to `src/channels/index.ts` (skip if the line is already present):
```typescript
import './emacs.js';
```bash
git remote add upstream https://github.com/qwibitai/nanoclaw.git
```
### 4. Build and validate
### Merge the skill branch
```bash
git fetch upstream skill/emacs
git merge upstream/skill/emacs
```
If there are merge conflicts on `pnpm-lock.yaml`, resolve them by accepting the incoming
version and continuing:
```bash
git checkout --theirs pnpm-lock.yaml
git add pnpm-lock.yaml
git merge --continue
```
For any other conflict, read the conflicted file and reconcile both sides manually.
This adds:
- `src/channels/emacs.ts``EmacsBridgeChannel` HTTP server (port 8766)
- `src/channels/emacs.test.ts` — unit tests
- `emacs/nanoclaw.el` — Emacs Lisp package (`nanoclaw-chat`, `nanoclaw-org-send`)
- `import './emacs.js'` appended to `src/channels/index.ts`
If the merge reports conflicts, resolve them by reading the conflicted files and understanding the intent of both sides.
### Validate code changes
```bash
pnpm run build
pnpm exec vitest run src/channels/emacs-registration.test.ts
pnpm exec vitest run src/channels/emacs.test.ts
```
Both must be clean before proceeding. `emacs-registration.test.ts` is the one integration test: it imports the real channel barrel and asserts the registry contains `emacs`. It goes red if the `import './emacs.js';` line is deleted or drifts, or if the barrel fails to evaluate (so the channel genuinely would not register). The adapter uses only Node builtins (`http`), so there is no npm dependency to guard for this channel.
Build must be clean and tests must pass before proceeding.
End-to-end message delivery from a real Emacs buffer is verified manually once the service is running — see Verify and Troubleshooting.
## Phase 3: Setup
## Enable
### Configure environment (optional)
The adapter is gated by `EMACS_ENABLED` so the HTTP port isn't opened on hosts that aren't running Emacs. Add to `.env`:
The channel works out of the box with defaults. Add to `.env` only if you need non-defaults:
```bash
EMACS_ENABLED=true
EMACS_CHANNEL_PORT=8766 # optional — change only if 8766 is taken
EMACS_AUTH_TOKEN= # optional — set to a random string to lock the endpoint
EMACS_PLATFORM_ID=default # optional — only change if you want a non-default chat id
EMACS_CHANNEL_PORT=8766 # default — change if 8766 is already in use
EMACS_AUTH_TOKEN=<random> # optional — locks the endpoint to Emacs only
```
Generate an auth token (recommended even on single-user machines — prevents other local processes from poking the endpoint):
If you change or add values, sync to the container environment:
```bash
node -e "console.log(require('crypto').randomBytes(16).toString('hex'))"
mkdir -p data/env && cp .env data/env/env
```
## Wire the channel
### Configure Emacs
Emacs is a single-user, single-chat channel. One host = one messaging group with `platform_id = "default"`.
### If this is your first agent group
Run `/init-first-agent` — pick **Emacs** as the channel, use any short handle as the "user id" (e.g. your OS username), and the skill will create the agent group, wire the channel, and write a welcome message that the agent delivers back to your Emacs buffer.
### Otherwise — wire to an existing agent group
Run the `register` step directly. The `EMACS_PLATFORM_ID` (default `default`) becomes the messaging group's platform id:
```bash
pnpm exec tsx setup/index.ts --step register -- \
--platform-id "default" --name "Emacs" \
--folder "<existing-folder>" --channel "emacs" \
--session-mode "agent-shared" \
--assistant-name "<existing-assistant-name>"
```
`agent-shared` puts Emacs messages in the same session as any other channel wired to the same agent group — so a conversation you started in Telegram continues in Emacs. Use `shared` to keep an independent Emacs thread with the same workspace, or a new `--folder` for a dedicated Emacs-only agent.
## Configure Emacs
`nanoclaw.el` needs only Emacs 27.1+ builtins (`url`, `json`, `org`) — no package manager.
The `nanoclaw.el` package requires only Emacs 27.1+ built-in libraries (`url`, `json`, `org`) — no package manager setup needed.
AskUserQuestion: Which Emacs distribution are you using?
- **Doom Emacs** `config.el` with `map!` keybindings
- **Spacemacs** `dotspacemacs/user-config` in `~/.spacemacs`
- **Vanilla Emacs / other** `init.el` with `global-set-key`
- **Doom Emacs** - config.el with map! keybindings
- **Spacemacs** - dotspacemacs/user-config in ~/.spacemacs
- **Vanilla Emacs / other** - init.el with global-set-key
**Doom Emacs** — add to `~/.config/doom/config.el` (or `~/.doom.d/config.el`):
@@ -126,7 +117,7 @@ AskUserQuestion: Which Emacs distribution are you using?
:desc "Send org" "o" #'nanoclaw-org-send)
```
Reload: `M-x doom/reload`
Then reload: `M-x doom/reload`
**Spacemacs** — add to `dotspacemacs/user-config` in `~/.spacemacs`:
@@ -138,9 +129,9 @@ Reload: `M-x doom/reload`
(spacemacs/set-leader-keys "aNo" #'nanoclaw-org-send)
```
Reload: `M-x dotspacemacs/sync-configuration-layers` or restart Emacs.
Then reload: `M-x dotspacemacs/sync-configuration-layers` or restart Emacs.
**Vanilla Emacs** — add to `~/.emacs.d/init.el`:
**Vanilla Emacs** — add to `~/.emacs.d/init.el` (or `~/.emacs`):
```elisp
;; NanoClaw — personal AI assistant channel
@@ -150,78 +141,61 @@ Reload: `M-x dotspacemacs/sync-configuration-layers` or restart Emacs.
(global-set-key (kbd "C-c n o") #'nanoclaw-org-send)
```
Reload: `M-x eval-buffer` or restart Emacs.
Then reload: `M-x eval-buffer` or restart Emacs.
Replace `~/src/nanoclaw/emacs/nanoclaw.el` with your actual NanoClaw checkout path.
If `EMACS_AUTH_TOKEN` is set, also add (any distribution):
If `EMACS_AUTH_TOKEN` was set, also add (any distribution):
```elisp
(setq nanoclaw-auth-token "<your-token>")
```
If you changed `EMACS_CHANNEL_PORT` from the default:
If `EMACS_CHANNEL_PORT` was changed from the default, also add:
```elisp
(setq nanoclaw-port <your-port>)
```
## Restart NanoClaw
Run from your NanoClaw project root:
### Restart NanoClaw
```bash
pnpm run build
source setup/lib/install-slug.sh
launchctl kickstart -k gui/$(id -u)/$(launchd_label) # macOS
# systemctl --user restart $(systemd_unit) # Linux
launchctl kickstart -k gui/$(id -u)/com.nanoclaw # macOS
# Linux: systemctl --user restart nanoclaw
```
## Verify
## Phase 4: Verify
### HTTP endpoint
### Test the HTTP endpoint
```bash
curl -s http://localhost:8766/api/messages?since=0
curl -s "http://localhost:8766/api/messages?since=0"
```
Expected: `{"messages":[]}`. With an auth token:
Expected: `{"messages":[]}`
If you set `EMACS_AUTH_TOKEN`:
```bash
curl -s -H "Authorization: Bearer <token>" http://localhost:8766/api/messages?since=0
curl -s -H "Authorization: Bearer <token>" "http://localhost:8766/api/messages?since=0"
```
### From Emacs
### Test from Emacs
Tell the user:
> 1. Open the chat buffer with your keybinding (`SPC N c`, `SPC a N c`, or `C-c n c`)
> 2. Type a message and press `C-c C-c` to send (RET inserts newlines)
> 3. A response should appear within a few seconds
> 2. Type a message and press `RET`
> 3. A response from Andy should appear within a few seconds
>
> For org-mode: open any `.org` file, position the cursor on a heading, and use `SPC N o` / `SPC a N o` / `C-c n o`
### Log line
### Check logs if needed
`tail -f logs/nanoclaw.log` should show `Emacs channel listening` at startup.
```bash
tail -f logs/nanoclaw.log
```
## Channel Info
- **type**: `emacs`
- **terminology**: Single local buffer. There are no "groups" or separate chats — one host = one chat, addressed by a `platform_id` string (default `default`).
- **how-to-find-id**: The platform id is whatever you set in `EMACS_PLATFORM_ID` (default `default`). User handles are arbitrary; your OS username or first name is fine (e.g. `emacs:<username>`).
- **supports-threads**: no
- **typical-use**: Single developer talking to the assistant from within Emacs, alongside whatever other channel they use (Slack, Telegram, Discord).
- **default-isolation**: Same agent group as the primary DM, with `session-mode = agent-shared` so a conversation started elsewhere continues in Emacs. Pick a separate folder only if you specifically want an Emacs-only persona.
### Features
- Interactive chat buffer (`nanoclaw-chat`) with markdown → org-mode rendering
- Org integration (`nanoclaw-org-send`) — sends the current subtree or region; reply lands as a child heading
- Optional bearer-token auth for the local endpoint
- Single-user: the adapter exposes exactly one messaging group per host
Not applicable (design): multi-user channels, threads, cold DM initiation, typing indicators, attachments.
Look for `Emacs channel listening` at startup and `Emacs message received` when a message is sent.
## Troubleshooting
@@ -231,53 +205,66 @@ Not applicable (design): multi-user channels, threads, cold DM initiation, typin
Error: listen EADDRINUSE: address already in use :::8766
```
Either a stale NanoClaw is running or another app has the port. Kill stale process or change port:
Either a stale NanoClaw process is running, or 8766 is taken by another app.
Find and kill the stale process:
```bash
lsof -ti :8766 | xargs kill -9
# or set EMACS_CHANNEL_PORT in .env and mirror in Emacs config (nanoclaw-port)
```
### Adapter not starting
If `grep "Emacs channel listening" logs/nanoclaw.log` returns nothing, check that `EMACS_ENABLED=true` is in `.env` and that the adapter import is present:
```bash
grep -q '^EMACS_ENABLED=true' .env && echo "enabled" || echo "not enabled"
grep -q "import './emacs.js'" src/channels/index.ts && echo "imported" || echo "not imported"
```
Or change the port in `.env` (`EMACS_CHANNEL_PORT=8767`) and update `nanoclaw-port` in Emacs config.
### No response from agent
1. NanoClaw running: `launchctl list | grep "$(. setup/lib/install-slug.sh && launchd_label)"` (macOS) / `systemctl --user status "$(. setup/lib/install-slug.sh && systemd_unit)"` (Linux)
2. Messaging group wired: `pnpm exec tsx scripts/q.ts data/v2.db "SELECT mg.platform_id, ag.folder FROM messaging_groups mg JOIN messaging_group_agents mga ON mg.id = mga.messaging_group_id JOIN agent_groups ag ON ag.id = mga.agent_group_id WHERE mg.channel_type = 'emacs'"`
3. Logs show inbound: `grep 'channel_type=emacs\|Emacs' logs/nanoclaw.log | tail -20`
Check:
1. NanoClaw is running: `launchctl list | grep nanoclaw` (macOS) or `systemctl --user status nanoclaw` (Linux)
2. Emacs group is registered: `sqlite3 store/messages.db "SELECT * FROM registered_groups WHERE jid = 'emacs:default'"`
3. Logs show activity: `tail -50 logs/nanoclaw.log`
If no messaging group row exists, run the `register` command above.
If the group is not registered, it will be created automatically on the next NanoClaw restart.
### Auth token mismatch (401 Unauthorized)
```elisp
M-x describe-variable RET nanoclaw-auth-token RET
```
Must match `EMACS_AUTH_TOKEN` in `.env`. If you didn't set one server-side, clear it in Emacs too:
Verify the token in Emacs matches `.env`:
```elisp
(setq nanoclaw-auth-token nil)
;; M-x describe-variable RET nanoclaw-auth-token RET
```
Must exactly match `EMACS_AUTH_TOKEN` in `.env`.
### nanoclaw.el not loading
Check the path is correct:
```bash
ls ~/src/nanoclaw/emacs/nanoclaw.el
```
If NanoClaw is cloned elsewhere, update the `load`/`load-file` path in your Emacs config.
## After Setup
If running `pnpm run dev` while the service is active:
```bash
# macOS:
launchctl unload ~/Library/LaunchAgents/com.nanoclaw.plist
pnpm run dev
# When done testing:
launchctl load ~/Library/LaunchAgents/com.nanoclaw.plist
# Linux:
# systemctl --user stop nanoclaw
# pnpm run dev
# systemctl --user start nanoclaw
```
## Agent Formatting
The Emacs bridge converts markdown → org-mode automatically. Agents should output standard markdown, **not** org-mode syntax:
The Emacs bridge converts markdown → org-mode automatically. Agents should
output standard markdown — **not** org-mode syntax. The conversion handles:
| Markdown | Org-mode |
|----------|----------|
@@ -287,8 +274,16 @@ The Emacs bridge converts markdown → org-mode automatically. Agents should out
| `` `code` `` | `~code~` |
| ` ```lang ` | `#+begin_src lang` |
If an agent outputs org-mode directly, markers get double-converted and render incorrectly.
If an agent outputs org-mode directly, bold/italic/etc. will be double-converted
and render incorrectly.
## Removal
See [REMOVE.md](REMOVE.md) to uninstall this channel.
To remove the Emacs channel:
1. Delete `src/channels/emacs.ts`, `src/channels/emacs.test.ts`, and `emacs/nanoclaw.el`
2. Remove `import './emacs.js'` from `src/channels/index.ts`
3. Remove the NanoClaw block from your Emacs config file
4. Remove Emacs registration from SQLite: `sqlite3 store/messages.db "DELETE FROM registered_groups WHERE jid = 'emacs:default'"`
5. Remove `EMACS_CHANNEL_PORT` and `EMACS_AUTH_TOKEN` from `.env` if set
6. Rebuild: `pnpm run build && launchctl kickstart -k gui/$(id -u)/com.nanoclaw` (macOS) or `pnpm run build && systemctl --user restart nanoclaw` (Linux)
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@@ -1,67 +0,0 @@
# Remove Google Calendar Tool
Idempotent — safe to run even if some steps were never applied.
## 1. Unregister the MCP server (per group)
For each group that had Calendar wired (`ncl groups list` to enumerate):
```bash
ncl groups config remove-mcp-server --id <group-id> --name calendar
```
## 2. Remove the `.calendar-mcp` mount from the DB (per group)
There is no `ncl groups config remove-mount` verb yet (tracked in [#2395](https://github.com/nanocoai/nanoclaw/issues/2395)). Until it ships, drop the entry via the in-tree wrapper (`scripts/q.ts`):
```bash
pnpm exec tsx scripts/q.ts data/v2.db "UPDATE container_configs \
SET additional_mounts = (SELECT json_group_array(value) FROM json_each(additional_mounts) \
WHERE json_extract(value, '\$.containerPath') != '.calendar-mcp'), \
updated_at = datetime('now') \
WHERE agent_group_id = '<group-id>';"
```
## 3. Delete the copied test file
```bash
rm -f src/gcal-dockerfile.test.ts
```
## 4. Revert the Dockerfile edits
Remove the `ARG CALENDAR_MCP_VERSION=...` line and the `@cocal/google-calendar-mcp@${CALENDAR_MCP_VERSION}` entry from the pnpm global-install block in `container/Dockerfile`. If Calendar shared the gmail install block, leave the gmail entry intact; if it had a standalone `RUN ... pnpm install -g "@cocal/google-calendar-mcp@..."` block, delete that whole `RUN` line.
## 5. Rebuild and restart
```bash
pnpm run build && ./container/build.sh
source setup/lib/install-slug.sh
# macOS
launchctl kickstart -k gui/$(id -u)/$(launchd_label)
# Linux
systemctl --user restart $(systemd_unit)
```
Kill any running agent containers so they respawn without the `calendar` MCP server:
```bash
docker ps -q --filter 'name=nanoclaw-v2-' | xargs -r docker kill
```
## 6. Optional: remove stubs and disconnect OneCLI
```bash
rm -rf ~/.calendar-mcp/
onecli apps disconnect --provider google-calendar
```
## Verification
After removal, in a wired agent asking it to "list my calendars" should report no calendar tool, and the dependency-guard test is gone:
```bash
ls src/gcal-dockerfile.test.ts 2>&1 # No such file or directory
```
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@@ -1,233 +0,0 @@
---
name: add-gcal-tool
description: Add Google Calendar as an MCP tool (list calendars, list/search/create events, free/busy queries) using OneCLI-managed OAuth. Multi-calendar and multi-account supported. Mirrors /add-gmail-tool's stub pattern — no raw credentials ever reach the container; OneCLI injects real tokens at request time.
---
# Add Google Calendar Tool (OneCLI-native)
This skill wires [`@cocal/google-calendar-mcp`](https://github.com/cocal-com/google-calendar-mcp) into selected agent groups. The MCP server reads stub credentials containing the `onecli-managed` placeholder; the OneCLI gateway intercepts outbound calls to `calendar.googleapis.com` / `oauth2.googleapis.com` and swaps the bearer for the real OAuth token from its vault.
**Why this package (and not gongrzhe's):** `@gongrzhe/server-calendar-autoauth-mcp` only supports the `primary` calendar and exposes 5 tools (no `list_calendars`). `@cocal/google-calendar-mcp` explicitly supports multi-calendar and multi-account, and is actively maintained.
Tools exposed (surfaced as `mcp__calendar__<name>`, exact set depends on version — run `tools/list` against the MCP server to enumerate): `list-calendars`, `list-events`, `search-events`, `create-event`, `update-event`, `delete-event`, `get-event`, `list-colors`, `get-freebusy`, `get-current-time`, plus multi-account management tools.
**Why this pattern:** v2's invariant is that containers never receive raw API keys (CHANGELOG 2.0.0). Same stub pattern `/add-gmail-tool` uses. This skill is deliberately a sibling, not a combined "Google Workspace" skill — installs independently and removes cleanly.
## Phase 1: Pre-flight
### Verify OneCLI has Google Calendar connected
```bash
onecli apps get --provider google-calendar
```
Expected: `"connection": { "status": "connected" }` with scopes including `calendar.readonly` and `calendar.events`.
If not connected, tell the user:
> Open the OneCLI web UI at http://127.0.0.1:10254, go to Apps → Google Calendar, and click Connect. Sign in with the Google account the agent should act as. `calendar.readonly` + `calendar.events` are the minimum useful scopes.
### Verify stub credentials exist
The stub lives at `~/.calendar-mcp/` by convention (shared with `/add-gmail-tool`'s sibling). cocal doesn't default to this path (it uses `~/.config/google-calendar-mcp/tokens.json`) — we override via env vars below so it reads our stubs instead.
```bash
ls -la ~/.calendar-mcp/gcp-oauth.keys.json ~/.calendar-mcp/credentials.json 2>&1
```
If both exist with `onecli-managed`:
```bash
grep -l onecli-managed ~/.calendar-mcp/gcp-oauth.keys.json ~/.calendar-mcp/credentials.json
```
...skip to Phase 2. If either file has real credentials (no `onecli-managed`), **STOP** — back up and delete before proceeding.
If absent, write them:
```bash
mkdir -p ~/.calendar-mcp
cat > ~/.calendar-mcp/gcp-oauth.keys.json <<'EOF'
{
"installed": {
"client_id": "onecli-managed.apps.googleusercontent.com",
"client_secret": "onecli-managed",
"redirect_uris": ["http://localhost:3000/oauth2callback"]
}
}
EOF
cat > ~/.calendar-mcp/credentials.json <<'EOF'
{
"access_token": "onecli-managed",
"refresh_token": "onecli-managed",
"token_type": "Bearer",
"expiry_date": 99999999999999,
"scope": "https://www.googleapis.com/auth/calendar.readonly https://www.googleapis.com/auth/calendar.events"
}
EOF
chmod 600 ~/.calendar-mcp/*.json
```
### Verify mount allowlist covers the path
```bash
cat ~/.config/nanoclaw/mount-allowlist.json
```
`~/.calendar-mcp` must sit under an `allowedRoots` entry.
### Check agent secret-mode
For each target agent group, confirm OneCLI will inject the Google Calendar token:
```bash
onecli agents list
```
`secretMode: all` is sufficient. If `selective`, explicitly assign the Calendar secret.
## Phase 2: Apply Code Changes
### Check if already applied
```bash
grep -q 'CALENDAR_MCP_VERSION' container/Dockerfile && \
echo "ALREADY APPLIED — skip to Phase 3"
```
### Add MCP server to Dockerfile
Edit `container/Dockerfile`. Find the pinned-version ARG block and add:
```dockerfile
ARG CALENDAR_MCP_VERSION=2.6.1
```
If `/add-gmail-tool` has already been applied, the pnpm global-install block already exists with its `zod-to-json-schema@3.22.5` pin. Just append the calendar package — **the calendar-mcp uses `zod@4.x` and does NOT need that pin**, but it's harmless to share the block:
```dockerfile
RUN --mount=type=cache,target=/root/.cache/pnpm \
pnpm install -g \
"@gongrzhe/server-gmail-autoauth-mcp@${GMAIL_MCP_VERSION}" \
"@cocal/google-calendar-mcp@${CALENDAR_MCP_VERSION}" \
"zod-to-json-schema@3.22.5"
```
If `/add-gmail-tool` hasn't been applied, install Calendar standalone:
```dockerfile
RUN --mount=type=cache,target=/root/.cache/pnpm \
pnpm install -g "@cocal/google-calendar-mcp@${CALENDAR_MCP_VERSION}"
```
`container/agent-runner/src/providers/claude.ts` derives the allow-pattern dynamically from each group's `mcpServers` map (`Object.keys(this.mcpServers).map(mcpAllowPattern)`), so registering `calendar` in Phase 3 automatically allows `mcp__calendar__*`.
### Install the dependency-guard test
`@cocal/google-calendar-mcp` is a stdio CLI installed in the image, not an imported module, so `tsc` and the runtime tests never reference it — only the Dockerfile edit above proves it is present. Copy the guard test into the host test tree (vitest) so the Dockerfile `ARG` + install line stay covered:
```bash
cp .claude/skills/add-gcal-tool/gcal-dockerfile.test.ts src/gcal-dockerfile.test.ts
pnpm exec vitest run src/gcal-dockerfile.test.ts
```
`cp` overwrites in place, so re-running this skill is safe.
### Rebuild the container image
```bash
./container/build.sh
```
## Phase 3: Wire Per-Agent-Group
For each agent group, persist two changes to the **central DB** (`data/v2.db`): the `mcpServers.calendar` entry and an `additionalMounts` entry for `.calendar-mcp`. Both flow through `materializeContainerJson` on every spawn, so editing `groups/<folder>/container.json` by hand does **not** stick — that file is regenerated from the DB.
### Register the MCP server
For each chosen `<group-id>` (use `ncl groups list` to enumerate):
```bash
ncl groups config add-mcp-server \
--id <group-id> \
--name calendar \
--command google-calendar-mcp \
--args '[]' \
--env '{"GOOGLE_OAUTH_CREDENTIALS":"/workspace/extra/.calendar-mcp/gcp-oauth.keys.json","GOOGLE_CALENDAR_MCP_TOKEN_PATH":"/workspace/extra/.calendar-mcp/credentials.json"}'
```
Approval behaviour depends on where you run it: from inside an agent's container `ncl` write verbs are approval-gated (admin approves before it lands); from a host operator shell with full scope, it executes immediately. Either way, the response tells you which path it took.
### Add the `.calendar-mcp` mount
There is no `ncl groups config add-mount` verb yet (tracked in [#2395](https://github.com/nanocoai/nanoclaw/issues/2395)). Until that ships, edit the DB directly via the in-tree wrapper (`scripts/q.ts``setup/verify.ts:5` codifies that NanoClaw avoids depending on the `sqlite3` CLI binary, so don't shell out to it):
```bash
GROUP_ID='<group-id>'
HOST_PATH="$HOME/.calendar-mcp"
MOUNT=$(jq -cn --arg h "$HOST_PATH" '{hostPath:$h, containerPath:".calendar-mcp", readonly:false}')
pnpm exec tsx scripts/q.ts data/v2.db "UPDATE container_configs \
SET additional_mounts = json_insert(additional_mounts, '\$[#]', json('$MOUNT')), \
updated_at = datetime('now') \
WHERE agent_group_id = '$GROUP_ID';"
```
Run from your NanoClaw project root (where `data/v2.db` lives). The `$[#]` placeholder is SQLite JSON1's append-to-end notation; it's `\$`-escaped so bash doesn't arithmetic-expand it before sqlite sees it. `updated_at` is ISO-string everywhere else in the schema, so use `datetime('now')` — not `strftime('%s','now')`, which would silently mix epoch ints into a column of YYYY-MM-DD HH:MM:SS strings.
**Switch to `ncl groups config add-mount` once #2395 lands.** Update this skill at that time.
`containerPath` is relative (mount-security rejects absolute paths — additional mounts land at `/workspace/extra/<relative>`).
**Why this can't be `groups/<folder>/container.json`:** post-migration `014-container-configs`, `materializeContainerJson` in `src/container-config.ts` rewrites that file from the DB on every spawn. Anything hand-edited there is silently overwritten on next restart.
**Same-group-as-gmail tip:** if this group already has the gmail MCP + `.gmail-mcp` mount, both coexist — `ncl groups config add-mcp-server` only updates the named entry, and `json_insert` appends to `additional_mounts` without disturbing existing entries.
## Phase 4: Build and Restart
```bash
pnpm run build
```
Run from your NanoClaw project root:
```bash
source setup/lib/install-slug.sh
launchctl kickstart -k gui/$(id -u)/$(launchd_label) # macOS
systemctl --user restart $(systemd_unit) # Linux
```
Kill any existing agent containers so they respawn with the new mcpServers config:
```bash
docker ps -q --filter 'name=nanoclaw-v2-' | xargs -r docker kill
```
## Phase 5: Verify
### Test from a wired agent
> Send: **"list my calendars"** or **"what's on my work calendar next Monday?"**.
>
> First call takes 23s while the MCP server starts and OneCLI does the token exchange.
### Check logs if the tool isn't working
```bash
tail -100 logs/nanoclaw.log | grep -iE 'calendar|mcp'
```
Common signals:
- `command not found: google-calendar-mcp` → image not rebuilt.
- `ENOENT ...credentials.json` → mount missing. Check the mount allowlist.
- `401 Unauthorized` from `*.googleapis.com` → OneCLI isn't injecting; verify agent's secret mode and that Google Calendar is connected.
- Agent says "I don't have calendar tools" → the `calendar` MCP server isn't registered in this group's `mcpServers` (re-run the `ncl groups config add-mcp-server` step in Phase 3 for that group and restart it), or the agent-runner image is stale (`./container/build.sh`, `--no-cache` if suspicious).
## Removal
See [REMOVE.md](REMOVE.md) — unregisters the MCP server, drops the `.calendar-mcp` mount, deletes the copied test, reverts the Dockerfile edits, and rebuilds.
## Credits & references
- **MCP server:** [`@cocal/google-calendar-mcp`](https://github.com/cocal-com/google-calendar-mcp) — MIT-licensed, actively maintained, multi-account and multi-calendar.
- **Why not gongrzhe:** `@gongrzhe/server-calendar-autoauth-mcp` only supports the primary calendar with 5 event-level tools. The cocal server supports multi-account and multi-calendar with the full tool surface.
- **Skill pattern:** direct sibling of [`/add-gmail-tool`](../add-gmail-tool/SKILL.md); same OneCLI stub mechanism.
@@ -1,36 +0,0 @@
/**
* Dependency guard for the Google Calendar MCP server (host/vitest tree).
*
* `@cocal/google-calendar-mcp` is a stdio CLI installed globally in the image,
* not an imported module, so no behavior test can drive it and `tsc` never sees
* it. The only in-tree footprint of this skill is the Dockerfile edit, so the
* guard is structural: assert the pinned `ARG` and the pnpm global-install line
* both exist. Drop either Phase 2 Dockerfile edit and this goes red.
*/
import fs from 'fs';
import path from 'path';
import { describe, it, expect } from 'vitest';
function dockerfile(): string {
const p = path.resolve(process.cwd(), 'container/Dockerfile');
return fs.readFileSync(p, 'utf8');
}
describe('container/Dockerfile installs @cocal/google-calendar-mcp', () => {
const text = dockerfile();
it('pins the version via an ARG', () => {
expect(text).toMatch(/^\s*ARG\s+CALENDAR_MCP_VERSION=/m);
});
it('installs the package pinned to that ARG in a pnpm global-install block', () => {
// Match `pnpm install -g ... "@cocal/google-calendar-mcp@${CALENDAR_MCP_VERSION}"`,
// tolerating line continuations between `install -g` and the package.
const installsCalendar =
/pnpm\s+install\s+-g[\s\S]*?@cocal\/google-calendar-mcp@\$\{CALENDAR_MCP_VERSION\}/.test(
text,
);
expect(installsCalendar).toBe(true);
});
});
+5 -39
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@@ -1,40 +1,6 @@
# Remove Google Chat
# Remove Google Chat Channel
Every step is idempotent — safe to re-run.
## 1. Remove the adapter
Delete the self-registration import from `src/channels/index.ts` (skip if already gone):
```typescript
import './gchat.js';
```
Then delete the copied adapter and its registration test:
```bash
rm -f src/channels/gchat.ts src/channels/gchat-registration.test.ts
```
## 2. Remove credentials
Remove `GCHAT_CREDENTIALS` from `.env`, then re-sync to the container:
```bash
mkdir -p data/env && cp .env data/env/env
```
## 3. Remove the package
```bash
pnpm uninstall @chat-adapter/gchat
```
## 4. Rebuild and restart
```bash
pnpm run build
source setup/lib/install-slug.sh
launchctl kickstart -k gui/$(id -u)/$(launchd_label) # macOS
# Linux: systemctl --user restart $(systemd_unit)
```
1. Comment out `import './gchat.js'` in `src/channels/index.ts`
2. Remove `GCHAT_CREDENTIALS` from `.env`
3. `pnpm uninstall @chat-adapter/gchat`
4. Rebuild and restart
+4 -11
View File
@@ -16,7 +16,6 @@ NanoClaw doesn't ship channels in trunk. This skill copies the Google Chat adapt
Skip to **Credentials** if all of these are already in place:
- `src/channels/gchat.ts` exists
- `src/channels/gchat-registration.test.ts` exists
- `src/channels/index.ts` contains `import './gchat.js';`
- `@chat-adapter/gchat` is listed in `package.json` dependencies
@@ -28,11 +27,10 @@ Otherwise continue. Every step below is safe to re-run.
git fetch origin channels
```
### 2. Copy the adapter and its registration test
### 2. Copy the adapter
```bash
git show origin/channels:src/channels/gchat.ts > src/channels/gchat.ts
git show origin/channels:src/channels/gchat-registration.test.ts > src/channels/gchat-registration.test.ts
git show origin/channels:src/channels/gchat.ts > src/channels/gchat.ts
```
### 3. Append the self-registration import
@@ -46,20 +44,15 @@ import './gchat.js';
### 4. Install the adapter package (pinned)
```bash
pnpm install @chat-adapter/gchat@4.27.0
pnpm install @chat-adapter/gchat@4.26.0
```
### 5. Build and validate
### 5. Build
```bash
pnpm run build
pnpm exec vitest run src/channels/gchat-registration.test.ts
```
Both must be clean before proceeding. `gchat-registration.test.ts` is the one integration test: it imports the real channel barrel and asserts the registry contains `gchat`. It goes red if the `import './gchat.js';` line is deleted or drifts, if the barrel fails to evaluate, or if `@chat-adapter/gchat` isn't installed (the import throws) — so it also implicitly verifies the dependency from step 4. The adapter also calls core's `createChatSdkBridge(...)`; that typed core-API consumption is guarded by `pnpm run build`.
End-to-end message delivery against a real Google Chat space is verified manually once the service is running — see Next Steps and the webhook setup above.
## Credentials
> 1. Go to [Google Cloud Console](https://console.cloud.google.com)
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@@ -0,0 +1,3 @@
# Verify Google Chat Channel
Add the bot to a Google Chat space, then send a message or @mention the bot. The bot should respond within a few seconds.
+5 -39
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@@ -1,40 +1,6 @@
# Remove GitHub
# Remove GitHub Channel
Every step is idempotent — safe to re-run.
## 1. Remove the adapter
Delete the self-registration import from `src/channels/index.ts` (skip if already gone):
```typescript
import './github.js';
```
Then delete the copied adapter and its registration test:
```bash
rm -f src/channels/github.ts src/channels/github-registration.test.ts
```
## 2. Remove credentials
Remove `GITHUB_TOKEN`, `GITHUB_WEBHOOK_SECRET`, and `GITHUB_BOT_USERNAME` from `.env`, then re-sync to the container:
```bash
mkdir -p data/env && cp .env data/env/env
```
## 3. Remove the package
```bash
pnpm uninstall @chat-adapter/github
```
## 4. Rebuild and restart
```bash
pnpm run build
source setup/lib/install-slug.sh
launchctl kickstart -k gui/$(id -u)/$(launchd_label) # macOS
# Linux: systemctl --user restart $(systemd_unit)
```
1. Comment out `import './github.js'` in `src/channels/index.ts`
2. Remove `GITHUB_TOKEN` and `GITHUB_WEBHOOK_SECRET` from `.env`
3. `pnpm uninstall @chat-adapter/github`
4. Rebuild and restart
+20 -89
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@@ -7,10 +7,6 @@ description: Add GitHub channel integration via Chat SDK. PR and issue comment t
Adds GitHub support via the Chat SDK bridge. The agent participates in PR and issue comment threads.
## Prerequisites
You need a **dedicated GitHub bot account** (not your personal account). The adapter uses this account to post replies and filters out its own messages to avoid loops. Create a free GitHub account for your bot (e.g. `my-org-bot`), then invite it as a collaborator with write access to the repos you want monitored.
## Install
NanoClaw doesn't ship channels in trunk. This skill copies the GitHub adapter in from the `channels` branch.
@@ -20,7 +16,6 @@ NanoClaw doesn't ship channels in trunk. This skill copies the GitHub adapter in
Skip to **Credentials** if all of these are already in place:
- `src/channels/github.ts` exists
- `src/channels/github-registration.test.ts` exists
- `src/channels/index.ts` contains `import './github.js';`
- `@chat-adapter/github` is listed in `package.json` dependencies
@@ -32,11 +27,10 @@ Otherwise continue. Every step below is safe to re-run.
git fetch origin channels
```
### 2. Copy the adapter and its registration test
### 2. Copy the adapter
```bash
git show origin/channels:src/channels/github.ts > src/channels/github.ts
git show origin/channels:src/channels/github-registration.test.ts > src/channels/github-registration.test.ts
git show origin/channels:src/channels/github.ts > src/channels/github.ts
```
### 3. Append the self-registration import
@@ -50,114 +44,51 @@ import './github.js';
### 4. Install the adapter package (pinned)
```bash
pnpm install @chat-adapter/github@4.27.0
pnpm install @chat-adapter/github@4.26.0
```
### 5. Build and validate
### 5. Build
```bash
pnpm run build
pnpm exec vitest run src/channels/github-registration.test.ts
```
Both must be clean before proceeding. `github-registration.test.ts` is the one integration test: it imports the real channel barrel and asserts the registry contains `github`. It goes red if the `import './github.js';` line is deleted or drifts, if the barrel fails to evaluate, or if `@chat-adapter/github` isn't installed (the import throws) — so it also implicitly verifies the dependency from step 4. The adapter also calls core's `createChatSdkBridge(...)`; that typed core-API consumption is guarded by `pnpm run build`.
End-to-end message delivery against a real GitHub repo is verified manually once the service is running — see Next Steps and the webhook setup above.
## Credentials
### 1. Create a Personal Access Token for the bot account
> 1. Go to [GitHub Settings > Developer Settings > Personal Access Tokens](https://github.com/settings/tokens)
> 2. Create a **Fine-grained token** with:
> - Repository access: select the repos you want the bot to monitor
> - Permissions: **Pull requests** (Read & Write), **Issues** (Read & Write)
> 3. Copy the token
> 4. Set up a webhook on your repo(s):
> - Go to **Settings** > **Webhooks** > **Add webhook**
> - Payload URL: `https://your-domain/webhook/github`
> - Content type: `application/json`
> - Secret: generate a random string
> - Events: select **Issue comments**, **Pull request review comments**
Log in as your **bot account**, then:
1. Go to [Settings > Developer Settings > Personal Access Tokens](https://github.com/settings/tokens)
2. Create a **Fine-grained token** with:
- Repository access: select the repos you want the bot to monitor
- Permissions: **Pull requests** (Read & Write), **Issues** (Read & Write)
3. Copy the token
### 2. Set up a webhook on each repo
On each repo (logged in as the repo owner/admin):
1. Go to **Settings** > **Webhooks** > **Add webhook**
2. Payload URL: `https://your-domain/webhook/github` (the shared webhook server, default port 3000)
3. Content type: `application/json`
4. Secret: generate a random string (e.g. `openssl rand -hex 20`)
5. Events: select **Issue comments** and **Pull request review comments**
### 3. Configure environment
### Configure environment
Add to `.env`:
```bash
GITHUB_TOKEN=github_pat_...
GITHUB_WEBHOOK_SECRET=your-webhook-secret
GITHUB_BOT_USERNAME=your-bot-username
```
`GITHUB_BOT_USERNAME` must match the bot account's GitHub username exactly. This is used for @-mention detection — the agent responds when someone writes `@your-bot-username` in a PR or issue comment.
Sync to container: `mkdir -p data/env && cp .env data/env/env`
## Wiring
Ask the user: **Is this a private or public repo?**
- **Private repo** — use `unknown_sender_policy: 'public'`. Only collaborators can comment anyway, so it's safe to let all comments through.
- **Public repo** — use `unknown_sender_policy: 'strict'`. Only registered members can trigger the agent, preventing strangers from consuming agent resources. Add trusted collaborators as members (see below).
Run `/manage-channels` to wire the GitHub channel to an agent group, or insert manually:
```sql
-- Create messaging group (one per repo)
INSERT INTO messaging_groups (id, channel_type, platform_id, instance, name, is_group, unknown_sender_policy, created_at)
VALUES ('mg-github-myrepo', 'github', 'github:owner/repo', 'github', 'owner/repo', 1, '<policy>', datetime('now'));
-- Wire to agent group
INSERT INTO messaging_group_agents (id, messaging_group_id, agent_group_id, trigger_rules, response_scope, session_mode, priority, created_at)
VALUES ('mga-github-myrepo', 'mg-github-myrepo', '<your-agent-group-id>', '', 'all', 'per-thread', 10, datetime('now'));
```
Replace `<policy>` with `public` or `strict` based on the user's choice above.
### Adding members (for strict mode)
When using `strict`, add each GitHub user who should be able to trigger the agent:
```sql
-- Add user (kind = 'github', id = 'github:<numeric-user-id>')
INSERT OR IGNORE INTO users (id, kind, display_name, created_at)
VALUES ('github:<user-id>', 'github', '<username>', datetime('now'));
-- Grant membership to the agent group
INSERT OR IGNORE INTO agent_group_members (user_id, agent_group_id)
VALUES ('github:<user-id>', '<agent-group-id>');
```
To find a GitHub user's numeric ID: `gh api users/<username> --jq .id`
Use `per-thread` session mode so each PR/issue gets its own agent session.
## Next Steps
If you're in the middle of `/setup`, return to the setup flow now.
Otherwise, restart the service to pick up the new channel.
Run from your NanoClaw project root:
```bash
source setup/lib/install-slug.sh
launchctl kickstart -k gui/$(id -u)/$(launchd_label) # macOS
systemctl --user restart $(systemd_unit) # Linux
```
Otherwise, run `/manage-channels` to wire this channel to an agent group.
## Channel Info
- **type**: `github`
- **terminology**: GitHub has "repositories" containing "pull requests" and "issues." Each PR or issue comment thread is a separate conversation.
- **how-to-find-id**: The platform ID is `github:owner/repo` (e.g. `github:acme/backend`). Each PR/issue becomes its own thread automatically.
- **how-to-find-id**: The platform ID is `owner/repo` (e.g. `acme/backend`). Each PR/issue becomes its own thread automatically.
- **supports-threads**: yes (PR and issue comment threads are native conversations)
- **typical-use**: Webhook-driven — the agent receives PR and issue comment events and responds in comment threads when @-mentioned. After the first mention, the thread is subscribed and the agent responds to all follow-up comments.
- **default-isolation**: Use `per-thread` session mode. Each PR or issue gets its own isolated agent session. Typically wire to a dedicated agent group if the repo contains sensitive code.
- **typical-use**: Webhook/notification — the agent receives PR and issue events and responds in comment threads
- **default-isolation**: Typically shares a session with a chat channel (e.g. Slack) so the agent can summarize PRs and respond to reviews in the same context. Use a separate agent group if the repo contains sensitive code that other channels shouldn't access.
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@@ -0,0 +1,3 @@
# Verify GitHub Channel
@mention the bot in a PR comment or issue comment. The bot should respond within a few seconds.
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@@ -1,57 +0,0 @@
# Remove Gmail Tool
Idempotent — safe to run even if some steps were never applied.
## 1. Delete the copied tests
```bash
rm -f container/agent-runner/src/providers/gmail-dockerfile.test.ts \
container/agent-runner/src/providers/gmail-allow-pattern.test.ts
```
## 2. Unregister the MCP server (per group)
`ncl groups list` shows the groups. For each group that had Gmail wired:
```bash
ncl groups config remove-mcp-server --id <group-id> --name gmail
```
## 3. Remove the `.gmail-mcp` mount (per group)
There is no `ncl groups config remove-mount` verb yet ([#2395](https://github.com/nanocoai/nanoclaw/issues/2395)). Edit the central DB via the in-tree wrapper (`scripts/q.ts` — NanoClaw avoids depending on the `sqlite3` CLI, `setup/verify.ts:5`). Run from your NanoClaw project root (where `data/v2.db` lives):
```bash
GROUP_ID='<group-id>'
pnpm exec tsx scripts/q.ts data/v2.db "UPDATE container_configs \
SET additional_mounts = (SELECT json_group_array(value) FROM json_each(additional_mounts) \
WHERE json_extract(value, '\$.containerPath') != '.gmail-mcp'), \
updated_at = datetime('now') \
WHERE agent_group_id = '$GROUP_ID';"
```
## 4. Remove the Dockerfile install
In `container/Dockerfile`, delete the `ARG GMAIL_MCP_VERSION=...` line and the `pnpm install -g` `RUN` block that installs `@gongrzhe/server-gmail-autoauth-mcp` and `zod-to-json-schema`.
## 5. Rebuild and restart
Run from your NanoClaw project root:
```bash
pnpm run build && ./container/build.sh
source setup/lib/install-slug.sh
# macOS
launchctl kickstart -k gui/$(id -u)/$(launchd_label)
# Linux
systemctl --user restart $(systemd_unit)
```
## 6. (Optional) Drop the host stubs and disconnect
```bash
rm -rf ~/.gmail-mcp/ # only if no other host tool needs the stubs
onecli apps disconnect --provider gmail # revoke the OneCLI Gmail connection
```
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@@ -1,262 +0,0 @@
---
name: add-gmail-tool
description: Add Gmail as an MCP tool (read, search, send, label, draft) using OneCLI-managed OAuth. The agent gets Gmail tools in every enabled group; OneCLI injects real tokens at request time so no raw credentials are ever in the container or on disk in usable form.
---
# Add Gmail Tool (OneCLI-native)
This skill wires the [`@gongrzhe/server-gmail-autoauth-mcp`](https://www.npmjs.com/package/@gongrzhe/server-gmail-autoauth-mcp) stdio MCP server into selected agent groups. The MCP server reads stub credentials containing the `onecli-managed` placeholder; the OneCLI gateway intercepts outbound calls to `gmail.googleapis.com` and injects the real OAuth bearer from its vault.
Tools exposed (from `gmail-mcp@1.1.11`, surfaced to the agent as `mcp__gmail__<name>`): `search_emails`, `read_email`, `send_email`, `draft_email`, `delete_email`, `modify_email`, `batch_modify_emails`, `batch_delete_emails`, `download_attachment`, `list_email_labels`, `create_label`, `update_label`, `delete_label`, `get_or_create_label`, `list_filters`, `get_filter`, `create_filter`, `create_filter_from_template`, `delete_filter`.
**Why this pattern:** v2's invariant is that containers never receive raw API keys — OneCLI is the sole credential path (see CHANGELOG v2.0.0). The stub-file pattern satisfies this: the container sees `"onecli-managed"` placeholders, the gateway swaps them in flight.
## Phase 1: Pre-flight
### Verify OneCLI has Gmail connected
```bash
onecli apps get --provider gmail
```
Expected: `"connection": { "status": "connected" }` with scopes including `gmail.readonly`, `gmail.modify`, `gmail.send`.
If not connected, tell the user:
> Open the OneCLI web UI at http://127.0.0.1:10254, go to Apps → Gmail, and click Connect. Sign in with the Google account you want the agent to act as.
### Verify stub credentials exist
```bash
ls -la ~/.gmail-mcp/gcp-oauth.keys.json ~/.gmail-mcp/credentials.json 2>&1
```
If both exist and contain `"onecli-managed"`:
```bash
grep -l onecli-managed ~/.gmail-mcp/gcp-oauth.keys.json ~/.gmail-mcp/credentials.json
```
...skip to Phase 2.
If either file exists but does **not** contain `onecli-managed`, **STOP** and tell the user — these are real OAuth credentials from a previous non-OneCLI install. Back them up, then delete before proceeding. The OneCLI migration normally handles this; if it didn't, something is wrong.
If both files are absent, write them now:
```bash
mkdir -p ~/.gmail-mcp
cat > ~/.gmail-mcp/gcp-oauth.keys.json <<'EOF'
{
"installed": {
"client_id": "onecli-managed.apps.googleusercontent.com",
"client_secret": "onecli-managed",
"redirect_uris": ["http://localhost:3000/oauth2callback"]
}
}
EOF
cat > ~/.gmail-mcp/credentials.json <<'EOF'
{
"access_token": "onecli-managed",
"refresh_token": "onecli-managed",
"token_type": "Bearer",
"expiry_date": 99999999999999,
"scope": "https://www.googleapis.com/auth/gmail.readonly https://www.googleapis.com/auth/gmail.modify https://www.googleapis.com/auth/gmail.send"
}
EOF
chmod 600 ~/.gmail-mcp/gcp-oauth.keys.json ~/.gmail-mcp/credentials.json
```
### Verify mount allowlist covers the path
```bash
cat ~/.config/nanoclaw/mount-allowlist.json
```
`~/.gmail-mcp` must sit under an `allowedRoots` entry (e.g. `/home/<user>`). If it doesn't, tell the user to run `/manage-mounts` first or add their home directory.
### Check agent secret-mode
For each target agent group, confirm OneCLI will inject Gmail secrets into its container. Find the OneCLI agent ID that matches the group's `agentGroupId`:
```bash
onecli agents list
```
If that agent's `secretMode` is `all`, you're done — Gmail secrets (identified by OneCLI's Gmail hostPattern) will auto-inject. If it's `selective`, explicitly assign the Gmail secrets using the safe merge pattern (`set-secrets` replaces the entire list — always read first):
```bash
GMAIL_IDS=$(onecli secrets list | jq -r '[.data[] | select(.name | test("(?i)gmail")) | .id] | join(",")')
CURRENT=$(onecli agents secrets --id <agent-id> | jq -r '[.data[]] | join(",")')
MERGED=$(printf '%s' "$CURRENT,$GMAIL_IDS" | tr ',' '\n' | sort -u | paste -sd ',' -)
onecli agents set-secrets --id <agent-id> --secret-ids "$MERGED"
onecli agents secrets --id <agent-id>
```
## Phase 2: Apply Code Changes
### Check if already applied
```bash
grep -q 'GMAIL_MCP_VERSION' container/Dockerfile && \
echo "ALREADY APPLIED — skip to Phase 3"
```
### Copy the skill's tests into the container tree
Both integration points this skill relies on live in the container (Bun) tree — the Dockerfile package install and the dynamic allow-pattern derivation in `claude.ts` — so the guards go there. `cp` overwrites, so re-running is safe.
```bash
S=.claude/skills/add-gmail-tool
cp $S/gmail-dockerfile.test.ts container/agent-runner/src/providers/gmail-dockerfile.test.ts
cp $S/gmail-allow-pattern.test.ts container/agent-runner/src/providers/gmail-allow-pattern.test.ts
```
- `gmail-dockerfile.test.ts` asserts the `GMAIL_MCP_VERSION` ARG and the pinned `pnpm install -g` line are present — the `gmail-mcp` binary is a Dockerfile-installed CLI, not importable or typed, so this structural guard is what goes red if the install is dropped.
- `gmail-allow-pattern.test.ts` asserts `claude.ts` still spreads `Object.keys(this.mcpServers).map(mcpAllowPattern)` into `allowedTools` — the derivation that makes registering `gmail` (Phase 3) enough to expose `mcp__gmail__*`.
### Add MCP server to Dockerfile
Edit `container/Dockerfile`. Find the pinned-version ARG block:
```dockerfile
ARG CLAUDE_CODE_VERSION=2.1.154
ARG AGENT_BROWSER_VERSION=latest
ARG VERCEL_VERSION=52.2.1
ARG BUN_VERSION=1.3.12
```
Add a new line:
```dockerfile
ARG GMAIL_MCP_VERSION=1.1.11
```
Then find the last pnpm global-install `RUN` block (the one that installs `@anthropic-ai/claude-code`) and add a new block directly after it (before the `# ---- ncl CLI wrapper` section):
```dockerfile
RUN --mount=type=cache,target=/root/.cache/pnpm \
pnpm install -g \
"@gongrzhe/server-gmail-autoauth-mcp@${GMAIL_MCP_VERSION}" \
"zod-to-json-schema@3.22.5"
```
Pinned version matters — `minimumReleaseAge` in `pnpm-workspace.yaml` gates trunk installs, and CLAUDE.md requires a fixed ARG version for all Node CLIs installed into the image.
**Why the `zod-to-json-schema` pin:** `@gongrzhe/server-gmail-autoauth-mcp@1.1.11` has loose deps (`zod-to-json-schema: ^3.22.1`, `zod: ^3.22.4`). pnpm resolves `zod-to-json-schema` to the latest 3.25.x, which imports `zod/v3` — a subpath that only exists in `zod>=3.25`. But `zod` resolves to `3.24.x` (highest satisfying `^3.22.4` without breaking peer ranges). Result: `ERR_PACKAGE_PATH_NOT_EXPORTED` at import time. Pinning `zod-to-json-schema` to a pre-v3-subpath version avoids it. Re-check if you bump `GMAIL_MCP_VERSION`.
The Gmail allow-pattern is derived automatically. `container/agent-runner/src/providers/claude.ts` builds `allowedTools` from each group's `mcpServers` map (`Object.keys(this.mcpServers).map(mcpAllowPattern)`), so registering `gmail` in Phase 3 exposes `mcp__gmail__*` to the agent.
### Rebuild the container image
```bash
./container/build.sh
```
Must complete cleanly. The new `pnpm install -g` layer is ~60s first time (cached on rebuild).
## Phase 3: Wire Per-Agent-Group
For each agent group that should have Gmail (ask the user — typically their personal DM and CLI agents, sometimes shared household agents), persist two changes to the **central DB** (`data/v2.db`): the `mcpServers.gmail` entry and an `additionalMounts` entry for `.gmail-mcp`. Both flow through `materializeContainerJson` on every spawn, so editing `groups/<folder>/container.json` by hand does **not** stick — that file is regenerated from the DB.
### List groups, pick which ones get Gmail
```bash
ncl groups list
```
### Register the MCP server
For each chosen `<group-id>`:
```bash
ncl groups config add-mcp-server \
--id <group-id> \
--name gmail \
--command gmail-mcp \
--args '[]' \
--env '{"GMAIL_OAUTH_PATH":"/workspace/extra/.gmail-mcp/gcp-oauth.keys.json","GMAIL_CREDENTIALS_PATH":"/workspace/extra/.gmail-mcp/credentials.json"}'
```
Approval behaviour depends on where you run it: from inside an agent's container `ncl` write verbs are approval-gated (admin approves before it lands); from a host operator shell with full scope, it executes immediately. Either way, the response tells you which path it took.
### Add the `.gmail-mcp` mount
There is no `ncl groups config add-mount` verb yet (tracked in [#2395](https://github.com/nanocoai/nanoclaw/issues/2395)). Until that ships, edit the DB directly via the in-tree wrapper (`scripts/q.ts``setup/verify.ts:5` codifies that NanoClaw avoids depending on the `sqlite3` CLI binary, so don't shell out to it):
```bash
GROUP_ID='<group-id>'
HOST_PATH="$HOME/.gmail-mcp"
MOUNT=$(jq -cn --arg h "$HOST_PATH" '{hostPath:$h, containerPath:".gmail-mcp", readonly:false}')
pnpm exec tsx scripts/q.ts data/v2.db "UPDATE container_configs \
SET additional_mounts = json_insert(additional_mounts, '\$[#]', json('$MOUNT')), \
updated_at = datetime('now') \
WHERE agent_group_id = '$GROUP_ID';"
```
Run from your NanoClaw project root (where `data/v2.db` lives). The `$[#]` placeholder is SQLite JSON1's append-to-end notation; it's `\$`-escaped so bash doesn't arithmetic-expand it before sqlite sees it. `updated_at` is ISO-string everywhere else in the schema, so use `datetime('now')` — not `strftime('%s','now')`, which would silently mix epoch ints into a column of YYYY-MM-DD HH:MM:SS strings.
**Switch to `ncl groups config add-mount` once #2395 lands.** Update this skill at that time.
**Why the container path is relative:** `mount-security` rejects absolute `containerPath` values. Additional mounts are prefixed with `/workspace/extra/`, so `containerPath: ".gmail-mcp"` lands at `/workspace/extra/.gmail-mcp`. The MCP server's `GMAIL_OAUTH_PATH` / `GMAIL_CREDENTIALS_PATH` env vars point at that absolute location inside the container.
**Why this can't be `groups/<folder>/container.json`:** post-migration `014-container-configs`, `materializeContainerJson` in `src/container-config.ts` rewrites that file from the DB on every spawn. Anything hand-edited there is silently overwritten on next restart.
## Phase 4: Build, Validate, Restart
```bash
pnpm run build
pnpm exec tsc -p container/agent-runner/tsconfig.json --noEmit
(cd container/agent-runner && bun test src/providers/gmail-dockerfile.test.ts src/providers/gmail-allow-pattern.test.ts)
```
All must be clean before proceeding. `gmail-dockerfile.test.ts` confirms the package install is wired into the image; `gmail-allow-pattern.test.ts` confirms the allow-pattern derivation that exposes `mcp__gmail__*`. A failure means one drifted.
Run from your NanoClaw project root:
```bash
source setup/lib/install-slug.sh
launchctl kickstart -k gui/$(id -u)/$(launchd_label) # macOS
systemctl --user restart $(systemd_unit) # Linux
```
## Phase 5: Verify
### Test from the wired agent
Tell the user:
> In your `<agent-name>` chat, send: **"list my gmail labels"** or **"search my inbox for invoices from last month"**.
>
> The agent should use `mcp__gmail__list_labels` / `mcp__gmail__search`. The first call may take a second or two while the MCP server starts and OneCLI does the token exchange.
### Check logs if the tool isn't working
```bash
tail -100 logs/nanoclaw.log logs/nanoclaw.error.log | grep -iE 'gmail|mcp'
# Per-container logs — session-scoped:
ls data/v2-sessions/*/stderr.log | head
```
Common signals:
- `command not found: gmail-mcp` → image wasn't rebuilt or PATH doesn't include `/pnpm` (should — `ENV PATH="$PNPM_HOME:$PATH"` in Dockerfile).
- `ENOENT: no such file or directory, open '/workspace/extra/.gmail-mcp/credentials.json'` → mount is missing. Check `~/.config/nanoclaw/mount-allowlist.json` includes a parent of `~/.gmail-mcp`.
- `401 Unauthorized` from `gmail.googleapis.com` → OneCLI isn't injecting. Check the agent's secret mode (`onecli agents secrets --id <agent-id>`) and that the Gmail app is connected (`onecli apps get --provider gmail`).
- Agent says "I don't have Gmail tools" → the `gmail` MCP server isn't registered in this group's `mcpServers` (re-run the `ncl groups config add-mcp-server` step in Phase 3 for that group and restart it), or the agent-runner image is stale (rebuild with `./container/build.sh`, with `--no-cache` if suspicious).
## Removal
See [REMOVE.md](REMOVE.md) for the idempotent removal procedure (delete the copied tests, unregister the MCP server per group, drop the mount, remove the Dockerfile install, rebuild, and optionally drop the stubs and disconnect OneCLI).
## Notes
- **Stub format is OneCLI-prescribed.** The `access_token: "onecli-managed"` pattern with `expiry_date: 99999999999999` tells the Google auth client the token is valid; OneCLI intercepts the outgoing Gmail API call and rewrites `Authorization: Bearer onecli-managed` to the real token. `expiry_date: 0` (refresh-interception) is an alternative the OneCLI docs describe — both work but OneCLI's own `migrate` command writes the far-future variant, which is what this skill assumes.
- **Scopes are set at OAuth connect time.** If the agent needs scopes beyond what's currently connected (e.g. the user later wants `calendar.readonly` for combined email/calendar workflows), disconnect and reconnect Gmail in the OneCLI web UI with the expanded scope set.
- **This is tool-only.** Inbound email as a channel (emails trigger the agent) is a separate piece of work — it needs a `src/channels/gmail.ts` adapter that polls the inbox and routes to a messaging group. The pre-v2 qwibitai skill had this; it has not been ported to v2's channel architecture as of v2.0.0.
## Credits & references
- **MCP server:** [`@gongrzhe/server-gmail-autoauth-mcp`](https://github.com/GongRzhe/Gmail-MCP-Server) by GongRzhe — MIT-licensed.
- **OneCLI credential stubs:** pattern documented at `https://onecli.sh/docs/guides/credential-stubs/gmail.md`.
- **Skill pattern:** modeled on [`add-atomic-chat-tool`](../add-atomic-chat-tool/SKILL.md) and [`add-vercel`](../add-vercel/SKILL.md).
- **Addresses:** [issue #1500](https://github.com/nanocoai/nanoclaw/issues/1500) (proxy Gmail/Calendar OAuth tokens through credential proxy) for the Gmail side.
- **Related PRs:** [#1810](https://github.com/nanocoai/nanoclaw/pull/1810) (pre-install Gmail/Notion MCP) overlaps on the "install the MCP server in the image" idea but bundles many unrelated changes; this skill is the focused OneCLI-native version.
@@ -1,55 +0,0 @@
/**
* Guard for the dynamic MCP allow-pattern derivation this skill depends on.
*
* Registering `gmail` in a group's mcpServers map is the *only* wiring needed to expose
* `mcp__gmail__*` to the agent — there is no static TOOL_ALLOWLIST edit. That holds solely
* because `claude.ts` derives the allow-pattern from the registered servers at query time:
*
* allowedTools: [ ...TOOL_ALLOWLIST, ...Object.keys(this.mcpServers).map(mcpAllowPattern) ]
*
* `mcpAllowPattern` is not exported and the call site lives inside the SDK query options,
* so we assert the derivation structurally. Delete or rename the derivation and this goes
* red — surfacing that `gmail` tools would silently be filtered out despite being registered.
*
* `mcpAllowPattern` itself is exercised directly to prove `gmail` -> `mcp__gmail__*`.
*/
import fs from 'fs';
import path from 'path';
import { describe, it, expect } from 'bun:test';
import ts from 'typescript';
function source(): { sf: ts.SourceFile; text: string } {
const p = path.join(import.meta.dir, 'claude.ts');
const text = fs.readFileSync(p, 'utf8');
return { sf: ts.createSourceFile(p, text, ts.ScriptTarget.Latest, true), text };
}
/** Reimplement the sanitizer the provider applies, to assert the gmail name maps cleanly. */
function expectedPattern(name: string): string {
return `mcp__${name.replace(/[^a-zA-Z0-9_-]/g, '_')}__*`;
}
describe('claude.ts derives MCP allow-patterns from the registered servers', () => {
const { sf, text } = source();
it('defines an mcpAllowPattern function', () => {
let found = false;
const visit = (node: ts.Node) => {
if (ts.isFunctionDeclaration(node) && node.name?.text === 'mcpAllowPattern') found = true;
if (!found) ts.forEachChild(node, visit);
};
visit(sf);
expect(found).toBe(true);
});
it('spreads Object.keys(this.mcpServers).map(mcpAllowPattern) into allowedTools', () => {
// Normalize whitespace so formatting changes don't break the assertion.
const flat = text.replace(/\s+/g, ' ');
expect(flat).toContain('Object.keys(this.mcpServers).map(mcpAllowPattern)');
});
it('maps a gmail server name to mcp__gmail__*', () => {
expect(expectedPattern('gmail')).toBe('mcp__gmail__*');
});
});
@@ -1,36 +0,0 @@
/**
* Structural guard for the Gmail MCP package-install integration point (container image).
*
* `@gongrzhe/server-gmail-autoauth-mcp` is a CLI binary installed into the image via the
* Dockerfile — it is not importable or typed from this tree, so the build leg can't catch
* its removal and there's no runtime seam to behavior-test. This asserts the Dockerfile
* still carries the ARG and the pinned pnpm global-install line. Drop either and this goes
* red, signalling the agent would boot without the `gmail-mcp` binary on PATH.
*/
import fs from 'fs';
import path from 'path';
import { describe, it, expect } from 'bun:test';
function dockerfile(): string {
// container/agent-runner/src/providers/ -> ../../../Dockerfile == container/Dockerfile
const p = path.join(import.meta.dir, '..', '..', '..', 'Dockerfile');
return fs.readFileSync(p, 'utf8');
}
describe('container/Dockerfile installs the Gmail MCP server', () => {
const text = dockerfile();
it('declares the GMAIL_MCP_VERSION ARG', () => {
expect(/ARG\s+GMAIL_MCP_VERSION=/.test(text)).toBe(true);
});
it('pnpm-installs @gongrzhe/server-gmail-autoauth-mcp pinned to the ARG', () => {
expect(text).toContain('pnpm install -g');
expect(/@gongrzhe\/server-gmail-autoauth-mcp@\$\{GMAIL_MCP_VERSION\}/.test(text)).toBe(true);
});
it('pins the zod-to-json-schema workaround version', () => {
expect(/zod-to-json-schema@3\.22\.5/.test(text)).toBe(true);
});
});
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@@ -0,0 +1,236 @@
---
name: add-gmail
description: Add Gmail integration to NanoClaw. Can be configured as a tool (agent reads/sends emails when triggered from WhatsApp) or as a full channel (emails can trigger the agent, schedule tasks, and receive replies). Guides through GCP OAuth setup and implements the integration.
---
# Add Gmail Integration
This skill adds Gmail support to NanoClaw — either as a tool (read, send, search, draft) or as a full channel that polls the inbox.
## Phase 1: Pre-flight
### Check if already applied
Check if `src/channels/gmail.ts` exists. If it does, skip to Phase 3 (Setup). The code changes are already in place.
### Ask the user
Use `AskUserQuestion`:
AskUserQuestion: Should incoming emails be able to trigger the agent?
- **Yes** — Full channel mode: the agent listens on Gmail and responds to incoming emails automatically
- **No** — Tool-only: the agent gets full Gmail tools (read, send, search, draft) but won't monitor the inbox. No channel code is added.
## Phase 2: Apply Code Changes
### Ensure channel remote
```bash
git remote -v
```
If `gmail` is missing, add it:
```bash
git remote add gmail https://github.com/qwibitai/nanoclaw-gmail.git
```
### Merge the skill branch
```bash
git fetch gmail main
git merge gmail/main || {
git checkout --theirs pnpm-lock.yaml
git add pnpm-lock.yaml
git merge --continue
}
```
This merges in:
- `src/channels/gmail.ts` (GmailChannel class with self-registration via `registerChannel`)
- `src/channels/gmail.test.ts` (unit tests)
- `import './gmail.js'` appended to the channel barrel file `src/channels/index.ts`
- Gmail credentials mount (`~/.gmail-mcp`) in `src/container-runner.ts`
- Gmail MCP server (`@gongrzhe/server-gmail-autoauth-mcp`) and `mcp__gmail__*` allowed tool in `container/agent-runner/src/index.ts`
- `googleapis` npm dependency in `package.json`
If the merge reports conflicts, resolve them by reading the conflicted files and understanding the intent of both sides.
### Add email handling instructions (Channel mode only)
If the user chose channel mode, append the following to `groups/main/CLAUDE.md` (before the formatting section):
```markdown
## Email Notifications
When you receive an email notification (messages starting with `[Email from ...`), inform the user about it but do NOT reply to the email unless specifically asked. You have Gmail tools available — use them only when the user explicitly asks you to reply, forward, or take action on an email.
```
### Validate code changes
```bash
pnpm install
pnpm run build
pnpm exec vitest run src/channels/gmail.test.ts
```
All tests must pass (including the new Gmail tests) and build must be clean before proceeding.
## Phase 3: Setup
### Check existing Gmail credentials
```bash
ls -la ~/.gmail-mcp/ 2>/dev/null || echo "No Gmail config found"
```
If `credentials.json` already exists with real tokens (not `onecli-managed` values), skip to "Build and restart" below.
### GCP Project Setup
Check if OneCLI is configured:
```bash
grep -q 'ONECLI_URL=.' .env 2>/dev/null && echo "onecli" || echo "manual"
```
**If OneCLI:** Tell the user to open `${ONECLI_URL}/connections?connect=gmail` to set up their Gmail connection. The dashboard walks them through creating a Google Cloud OAuth app and authorizing it. Ask them to let you know when done.
Once the user confirms, run:
```bash
onecli apps get --provider gmail
```
Check that `config.hasCredentials` is `true` or `connection` is not null. The response `hint` field has instructions and a docs URL for what stub credential files to create under `~/.gmail-mcp/`. Follow the hint — never overwrite existing files that don't contain `onecli-managed` values.
**If manual:** Tell the user:
> I need you to set up Google Cloud OAuth credentials:
>
> 1. Open https://console.cloud.google.com — create a new project or select existing
> 2. Go to **APIs & Services > Library**, search "Gmail API", click **Enable**
> 3. Go to **APIs & Services > Credentials**, click **+ CREATE CREDENTIALS > OAuth client ID**
> - If prompted for consent screen: choose "External", fill in app name and email, save
> - Application type: **Desktop app**, name: anything (e.g., "NanoClaw Gmail")
> 4. Click **DOWNLOAD JSON** and save as `gcp-oauth.keys.json`
>
> Where did you save the file? (Give me the full path, or paste the file contents here)
If user provides a path, copy it:
```bash
mkdir -p ~/.gmail-mcp
cp "/path/user/provided/gcp-oauth.keys.json" ~/.gmail-mcp/gcp-oauth.keys.json
```
If user pastes JSON content, write it to `~/.gmail-mcp/gcp-oauth.keys.json`.
### OAuth Authorization
Tell the user:
> I'm going to run Gmail authorization. A browser window will open — sign in and grant access. If you see an "app isn't verified" warning, click "Advanced" then "Go to [app name] (unsafe)" — this is normal for personal OAuth apps.
Run the authorization:
```bash
pnpm dlx @gongrzhe/server-gmail-autoauth-mcp auth
```
If that fails (some versions don't have an auth subcommand), try `timeout 60 pnpm dlx @gongrzhe/server-gmail-autoauth-mcp || true`. Verify with `ls ~/.gmail-mcp/credentials.json`.
### Build and restart
Clear stale per-group agent-runner copies (they only get re-created if missing, so existing copies won't pick up the new Gmail server):
```bash
rm -r data/sessions/*/agent-runner-src 2>/dev/null || true
```
Rebuild the container (agent-runner changed):
```bash
cd container && ./build.sh
```
Then compile and restart:
```bash
pnpm run build
launchctl kickstart -k gui/$(id -u)/com.nanoclaw # macOS
# Linux: systemctl --user restart nanoclaw
```
## Phase 4: Verify
### Test tool access (both modes)
Tell the user:
> Gmail is connected! Send this in your main channel:
>
> `@Andy check my recent emails` or `@Andy list my Gmail labels`
### Test channel mode (Channel mode only)
Tell the user to send themselves a test email. The agent should pick it up within a minute. Monitor: `tail -f logs/nanoclaw.log | grep -iE "(gmail|email)"`.
Once verified, offer filter customization via `AskUserQuestion` — by default, only emails in the Primary inbox trigger the agent (Promotions, Social, Updates, and Forums are excluded). The user can keep this default or narrow further by sender, label, or keywords. No code changes needed for filters.
### Check logs if needed
```bash
tail -f logs/nanoclaw.log
```
## Troubleshooting
### Gmail connection not responding
Test directly:
```bash
pnpm dlx @gongrzhe/server-gmail-autoauth-mcp
```
### OAuth token expired
Re-authorize:
```bash
rm ~/.gmail-mcp/credentials.json
pnpm dlx @gongrzhe/server-gmail-autoauth-mcp
```
### Container can't access Gmail
- Verify `~/.gmail-mcp` is mounted: check `src/container-runner.ts` for the `.gmail-mcp` mount
- Check container logs: `cat groups/main/logs/container-*.log | tail -50`
### Emails not being detected (Channel mode only)
- By default, the channel polls unread Primary inbox emails (`is:unread category:primary`)
- Check logs for Gmail polling errors
## Removal
### Tool-only mode
1. Remove `~/.gmail-mcp` mount from `src/container-runner.ts`
2. Remove `gmail` MCP server and `mcp__gmail__*` from `container/agent-runner/src/index.ts`
3. Rebuild and restart
4. Clear stale agent-runner copies: `rm -r data/sessions/*/agent-runner-src 2>/dev/null || true`
5. Rebuild: `cd container && ./build.sh && cd .. && pnpm run build && launchctl kickstart -k gui/$(id -u)/com.nanoclaw` (macOS) or `systemctl --user restart nanoclaw` (Linux)
### Channel mode
1. Delete `src/channels/gmail.ts` and `src/channels/gmail.test.ts`
2. Remove `import './gmail.js'` from `src/channels/index.ts`
3. Remove `~/.gmail-mcp` mount from `src/container-runner.ts`
4. Remove `gmail` MCP server and `mcp__gmail__*` from `container/agent-runner/src/index.ts`
5. Uninstall: `pnpm uninstall googleapis`
6. Rebuild and restart
7. Clear stale agent-runner copies: `rm -r data/sessions/*/agent-runner-src 2>/dev/null || true`
8. Rebuild: `cd container && ./build.sh && cd .. && pnpm run build && launchctl kickstart -k gui/$(id -u)/com.nanoclaw` (macOS) or `systemctl --user restart nanoclaw` (Linux)
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@@ -0,0 +1,94 @@
---
name: add-image-vision
description: Add image vision to NanoClaw agents. Resizes and processes WhatsApp image attachments, then sends them to Claude as multimodal content blocks.
---
# Image Vision Skill
Adds the ability for NanoClaw agents to see and understand images sent via WhatsApp. Images are downloaded, resized with sharp, saved to the group workspace, and passed to the agent as base64-encoded multimodal content blocks.
## Phase 1: Pre-flight
1. Check if `src/image.ts` exists — skip to Phase 3 if already applied
2. Confirm `sharp` is installable (native bindings require build tools)
**Prerequisite:** WhatsApp must be installed first (`skill/whatsapp` merged). This skill modifies WhatsApp channel files.
## Phase 2: Apply Code Changes
### Ensure WhatsApp fork remote
```bash
git remote -v
```
If `whatsapp` is missing, add it:
```bash
git remote add whatsapp https://github.com/qwibitai/nanoclaw-whatsapp.git
```
### Merge the skill branch
```bash
git fetch whatsapp skill/image-vision
git merge whatsapp/skill/image-vision || {
git checkout --theirs pnpm-lock.yaml
git add pnpm-lock.yaml
git merge --continue
}
```
This merges in:
- `src/image.ts` (image download, resize via sharp, base64 encoding)
- `src/image.test.ts` (8 unit tests)
- Image attachment handling in `src/channels/whatsapp.ts`
- Image passing to agent in `src/index.ts` and `src/container-runner.ts`
- Image content block support in `container/agent-runner/src/index.ts`
- `sharp` npm dependency in `package.json`
If the merge reports conflicts, resolve them by reading the conflicted files and understanding the intent of both sides.
### Validate code changes
```bash
pnpm install
pnpm run build
pnpm exec vitest run src/image.test.ts
```
All tests must pass and build must be clean before proceeding.
## Phase 3: Configure
1. Rebuild the container (agent-runner changes need a rebuild):
```bash
./container/build.sh
```
2. Sync agent-runner source to group caches:
```bash
for dir in data/sessions/*/agent-runner-src/; do
cp container/agent-runner/src/*.ts "$dir"
done
```
3. Restart the service:
```bash
launchctl kickstart -k gui/$(id -u)/com.nanoclaw
```
## Phase 4: Verify
1. Send an image in a registered WhatsApp group
2. Check the agent responds with understanding of the image content
3. Check logs for "Processed image attachment":
```bash
tail -50 groups/*/logs/container-*.log
```
## Troubleshooting
- **"Image - download failed"**: Check WhatsApp connection stability. The download may timeout on slow connections.
- **"Image - processing failed"**: Sharp may not be installed correctly. Run `pnpm ls sharp` to verify.
- **Agent doesn't mention image content**: Check container logs for "Loaded image" messages. If missing, ensure agent-runner source was synced to group caches.
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@@ -1,40 +1,6 @@
# Remove iMessage
# Remove iMessage Channel
Every step is idempotent — safe to re-run.
## 1. Remove the adapter
Delete the self-registration import from `src/channels/index.ts` (skip if already gone):
```typescript
import './imessage.js';
```
Then delete the copied adapter and its registration test:
```bash
rm -f src/channels/imessage.ts src/channels/imessage-registration.test.ts
```
## 2. Remove credentials
Remove `IMESSAGE_ENABLED`, `IMESSAGE_LOCAL`, `IMESSAGE_SERVER_URL`, and `IMESSAGE_API_KEY` from `.env`, then re-sync to the container:
```bash
mkdir -p data/env && cp .env data/env/env
```
## 3. Remove the package
```bash
pnpm uninstall chat-adapter-imessage
```
## 4. Rebuild and restart
```bash
pnpm run build
source setup/lib/install-slug.sh
launchctl kickstart -k gui/$(id -u)/$(launchd_label) # macOS
# Linux: systemctl --user restart $(systemd_unit)
```
1. Comment out `import './imessage.js'` in `src/channels/index.ts`
2. Remove iMessage env vars (`IMESSAGE_ENABLED`, `IMESSAGE_LOCAL`, `IMESSAGE_SERVER_URL`, `IMESSAGE_API_KEY`) from `.env`
3. `pnpm uninstall chat-adapter-imessage`
4. Rebuild and restart
+4 -11
View File
@@ -16,7 +16,6 @@ NanoClaw doesn't ship channels in trunk. This skill copies the iMessage adapter
Skip to **Credentials** if all of these are already in place:
- `src/channels/imessage.ts` exists
- `src/channels/imessage-registration.test.ts` exists
- `src/channels/index.ts` contains `import './imessage.js';`
- `chat-adapter-imessage` is listed in `package.json` dependencies
@@ -28,11 +27,10 @@ Otherwise continue. Every step below is safe to re-run.
git fetch origin channels
```
### 2. Copy the adapter and its registration test
### 2. Copy the adapter
```bash
git show origin/channels:src/channels/imessage.ts > src/channels/imessage.ts
git show origin/channels:src/channels/imessage-registration.test.ts > src/channels/imessage-registration.test.ts
git show origin/channels:src/channels/imessage.ts > src/channels/imessage.ts
```
### 3. Append the self-registration import
@@ -49,17 +47,12 @@ import './imessage.js';
pnpm install chat-adapter-imessage@0.1.1
```
### 5. Build and validate
### 5. Build
```bash
pnpm run build
pnpm exec vitest run src/channels/imessage-registration.test.ts
```
Both must be clean before proceeding. `imessage-registration.test.ts` is the one integration test: it imports the real channel barrel and asserts the registry contains `imessage`. It goes red if the `import './imessage.js';` line is deleted or drifts, if the barrel fails to evaluate, or if `chat-adapter-imessage` isn't installed (the import throws) — so it also implicitly verifies the dependency from step 4. The adapter also calls core's `createChatSdkBridge(...)`; that typed core-API consumption is guarded by `pnpm run build`.
End-to-end message delivery against a real iMessage account is verified manually once the service is running — see Next Steps.
## Credentials
### Local Mode (macOS)
@@ -82,7 +75,7 @@ Stop and wait for the user to confirm before continuing.
### Remote Mode (Photon API)
1. Set up a [Photon](https://photon.codes) account
1. Set up a [Photon](https://photon.im) account
2. Get your server URL and API key
### Configure environment
+3
View File
@@ -0,0 +1,3 @@
# Verify iMessage Channel
Send an iMessage to the account running NanoClaw. The bot should respond within a few seconds.
@@ -1,38 +0,0 @@
# Remove Karpathy LLM Wiki
Every step is idempotent — safe to re-run.
## 1. Remove the shared container skill
The wiki container skill lives in the shared `container/skills/` mount, which is auto-discovered and symlinked into every agent group. Delete it so it stops appearing in all containers:
```bash
rm -rf container/skills/wiki
```
## 2. Remove the wiki section from the group CLAUDE.md
The wiki section is wrapped in marker comments. Delete the block (markers included) from the group's CLAUDE.md — find it under `groups/<folder>/CLAUDE.md`:
```bash
# Replace <folder> with the group folder you set up the wiki for.
perl -0pi -e 's/\n?<!-- BEGIN karpathy-llm-wiki -->.*?<!-- END karpathy-llm-wiki -->\n?//s' groups/<folder>/CLAUDE.md
```
If the markers are absent, nothing is removed (the block was already gone or never added).
## 3. Restart so containers drop the skill
```bash
source setup/lib/install-slug.sh
launchctl kickstart -k gui/$(id -u)/$(launchd_label) # macOS
# Linux: systemctl --user restart $(systemd_unit)
```
## User content is preserved
The per-group `groups/<folder>/wiki/` and `groups/<folder>/sources/` directories hold the user's own knowledge base and ingested sources. They are left in place. Delete them by hand only if the user explicitly wants their wiki content gone:
```bash
rm -rf groups/<folder>/wiki groups/<folder>/sources
```
+35 -24
View File
@@ -7,8 +7,6 @@ description: Add a persistent wiki knowledge base to a NanoClaw group. Based on
Set up a persistent wiki knowledge base on NanoClaw, based on Karpathy's LLM Wiki pattern.
Each step is safe to re-run: directory creation uses `mkdir -p`, initial wiki files are created only if absent, the container skill is preserved unless the user opts to update it, and the group CLAUDE.md section is replaced in place via marker comments rather than duplicated.
## Step 1: Read the pattern
Read `${CLAUDE_SKILL_DIR}/llm-wiki.md` — this is the full LLM Wiki idea as written by Karpathy. Understand it thoroughly before proceeding. Summarize the core idea to the user briefly, then discuss what they want to build.
@@ -35,26 +33,15 @@ Based on this discussion, create three things:
### 3a. Directory structure
Create `wiki/` and `sources/` directories in the group folder (`mkdir -p` — safe if they already exist). Create initial `index.md` and `log.md` per the pattern's Indexing and Logging section, adapted to the user's domain. Skip any of these files that already exist so a populated wiki is never clobbered on re-run.
Create `wiki/` and `sources/` directories in the group folder. Create initial `index.md` and `log.md` per the pattern's Indexing and Logging section. Adapt to the user's domain.
### 3b. Container skill
Create `container/skills/wiki/SKILL.md` tailored to this user's wiki. This is the schema layer from the pattern — it tells the agent how to maintain the wiki. Base it on the pattern's Operations section (ingest, query, lint) and the conventions you agreed on with the user. Don't over-prescribe — the pattern says "your LLM figures out the rest."
If `container/skills/wiki/SKILL.md` already exists, ask the user whether to update it before overwriting, so an existing tailored schema is preserved on re-run.
Create a `container/skills/wiki/SKILL.md` tailored to this user's wiki. This is the schema layer from the pattern — it tells the agent how to maintain the wiki. Base it on the pattern's Operations section (ingest, query, lint) and the conventions you agreed on with the user. Don't over-prescribe — the pattern says "your LLM figures out the rest."
### 3c. Group CLAUDE.md
Edit the group's CLAUDE.md to add a wiki section, wrapped in marker comments so it can be located and replaced on re-run:
```markdown
<!-- BEGIN karpathy-llm-wiki -->
## Wiki
...section body...
<!-- END karpathy-llm-wiki -->
```
If a `<!-- BEGIN karpathy-llm-wiki -->` block already exists, replace it in place rather than appending a second copy. This is critical — it's what turns the agent into a wiki maintainer. The section should:
Edit the group's CLAUDE.md to add a wiki section. This is critical — it's what turns the agent into a wiki maintainer. It should:
- Explain the wiki system concisely: what it is, the three layers (sources, wiki, schema), the three operations (ingest, query, lint)
- Index the key files and folders (`wiki/`, `sources/`, `wiki/index.md`, `wiki/log.md`)
@@ -84,16 +71,40 @@ AskUserQuestion: "Want periodic wiki health checks?"
2. **Monthly**
3. **Skip** — lint manually
If yes, ask the agent to schedule the lint task using the `schedule_task` MCP tool in conversation.
## Step 6: Restart
Run from your NanoClaw project root:
If yes, create a NanoClaw scheduled task that runs in the wiki group. This is NOT a Claude Code cron job — it's a NanoClaw group task that runs in the agent container. Insert it into the SQLite database:
```bash
source setup/lib/install-slug.sh
launchctl kickstart -k gui/$(id -u)/$(launchd_label) # macOS
systemctl --user restart $(systemd_unit) # Linux
pnpm exec tsx -e "
const Database = require('better-sqlite3');
const { CronExpressionParser } = require('cron-parser');
const db = new Database('store/messages.db');
const interval = CronExpressionParser.parse('<cron-expr>', { tz: process.env.TZ || 'UTC' });
const nextRun = interval.next().toISOString();
db.prepare('INSERT INTO scheduled_tasks (id, group_folder, chat_jid, prompt, schedule_type, schedule_value, context_mode, next_run, status, created_at) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)').run(
'wiki-lint',
'<group_folder>',
'<chat_jid>',
'Run a wiki lint pass per the wiki container skill. Check for contradictions, orphan pages, stale content, missing cross-references, and gaps. Report findings and offer to fix issues.',
'cron',
'<cron-expr>',
'group',
nextRun,
'active',
new Date().toISOString()
);
db.close();
"
```
Use the group's `folder` and `chat_jid` from the registered groups table. Cron expressions: `0 10 * * 0` (weekly Sunday 10am) or `0 10 1 * *` (monthly 1st at 10am).
## Step 6: Build and restart
```bash
pnpm run build
./container/build.sh
launchctl kickstart -k gui/$(id -u)/com.nanoclaw # macOS
# Linux: systemctl --user restart nanoclaw
```
Tell the user to test by sending a source to the wiki group.
+5 -48
View File
@@ -1,49 +1,6 @@
# Remove Linear
# Remove Linear Channel
Every step is idempotent — safe to re-run.
## 1. Remove the adapter
Delete the self-registration import from `src/channels/index.ts` (skip if already gone):
```typescript
import './linear.js';
```
Then delete the copied adapter and its registration test:
```bash
rm -f src/channels/linear.ts src/channels/linear-registration.test.ts
```
## 2. Remove credentials
Remove the Linear env vars from `.env`, then re-sync to the container:
```bash
LINEAR_CLIENT_ID
LINEAR_CLIENT_SECRET
LINEAR_API_KEY
LINEAR_WEBHOOK_SECRET
LINEAR_BOT_USERNAME
LINEAR_TEAM_KEY
```
```bash
mkdir -p data/env && cp .env data/env/env
```
## 3. Remove the package
```bash
pnpm uninstall @chat-adapter/linear
```
## 4. Rebuild and restart
```bash
pnpm run build
source setup/lib/install-slug.sh
launchctl kickstart -k gui/$(id -u)/$(launchd_label) # macOS
# Linux: systemctl --user restart $(systemd_unit)
```
1. Comment out `import './linear.js'` in `src/channels/index.ts`
2. Remove `LINEAR_API_KEY` and `LINEAR_WEBHOOK_SECRET` from `.env`
3. `pnpm uninstall @chat-adapter/linear`
4. Rebuild and restart
+21 -83
View File
@@ -5,31 +5,17 @@ description: Add Linear channel integration via Chat SDK. Issue comment threads
# Add Linear Channel
Adds Linear support via the Chat SDK bridge. The agent participates in issue comment threads. Every comment on a Linear issue triggers the agent — no @-mention needed.
## Prerequisites
**Recommended:** Create a Linear **OAuth application** so the agent posts as an app identity, not as you. This prevents the adapter from filtering your own comments as self-messages.
1. Go to [Linear Settings > API > OAuth Applications](https://linear.app/settings/api/applications/new)
2. Create an app (e.g. "NanoClaw Bot")
- Developer URL: your repo URL (e.g. `https://github.com/your-org/nanoclaw`)
- Callback URL: `http://localhost`
3. After creating, click the app and enable **Client credentials** under grant types
4. Copy the **Client ID** and **Client Secret**
**Alternative:** Use a Personal API Key (`LINEAR_API_KEY`) for simpler setup. The agent will post as you, and your own comments will be filtered (other team members' comments still work).
Adds Linear support via the Chat SDK bridge. The agent participates in issue comment threads.
## Install
NanoClaw doesn't ship channels in trunk. This skill copies the Linear adapter in from the `channels` branch and wires it into the channel registry. Linear OAuth apps post and read comments under an app identity that can't be @-mentioned, so when you wire the channel in `/manage-channels`, pick an engage mode that responds to plain comments rather than mention-only.
NanoClaw doesn't ship channels in trunk. This skill copies the Linear adapter in from the `channels` branch.
### Pre-flight (idempotent)
Skip to **Credentials** if all of these are already in place:
- `src/channels/linear.ts` exists
- `src/channels/linear-registration.test.ts` exists
- `src/channels/index.ts` contains `import './linear.js';`
- `@chat-adapter/linear` is listed in `package.json` dependencies
@@ -41,11 +27,10 @@ Otherwise continue. Every step below is safe to re-run.
git fetch origin channels
```
### 2. Copy the adapter and its registration test
### 2. Copy the adapter
```bash
git show origin/channels:src/channels/linear.ts > src/channels/linear.ts
git show origin/channels:src/channels/linear-registration.test.ts > src/channels/linear-registration.test.ts
git show origin/channels:src/channels/linear.ts > src/channels/linear.ts
```
### 3. Append the self-registration import
@@ -59,95 +44,48 @@ import './linear.js';
### 4. Install the adapter package (pinned)
```bash
pnpm install @chat-adapter/linear@4.27.0
pnpm install @chat-adapter/linear@4.26.0
```
### 5. Build and validate
### 5. Build
```bash
pnpm run build
pnpm exec vitest run src/channels/linear-registration.test.ts
```
Both must be clean before proceeding. `linear-registration.test.ts` is the one integration test: it imports the real channel barrel and asserts the registry contains `linear`. It goes red if the `import './linear.js';` line is deleted or drifts, if the barrel fails to evaluate, or if `@chat-adapter/linear` isn't installed (the import throws) — so it also implicitly verifies the dependency from step 4. The adapter calls core's `createChatSdkBridge(...)`; that typed core-API consumption is guarded by `pnpm run build`.
End-to-end message delivery against a real Linear workspace is verified manually once the service is running — see Wiring and Next Steps.
## Credentials
### 1. Set up a webhook
> 1. Go to [Linear Settings > API Keys](https://linear.app/settings/account/security/api-keys/new)
> 2. Create a **Personal API Key** (or use an OAuth application for team-wide access)
> 3. Copy the API key
> 4. Set up a webhook:
> - Go to **Settings** > **API** > **Webhooks** > **New webhook**
> - URL: `https://your-domain/webhook/linear`
> - Select events: **Comment** (created, updated)
> - Copy the signing secret
1. Go to **Linear Settings** > **API** > **Webhooks** > **New webhook**
2. Label: `NanoClaw`
3. URL: `https://your-domain/webhook/linear` (the shared webhook server, default port 3000)
4. Team: select the team you want to monitor
5. Events: check **Comment**
6. Save — copy the **signing secret**
Note: Linear webhook delivery may be delayed 1-5 minutes for new webhooks. This is normal.
### 2. Configure environment
### Configure environment
Add to `.env`:
```bash
# OAuth app (recommended)
LINEAR_CLIENT_ID=your-client-id
LINEAR_CLIENT_SECRET=your-client-secret
# OR Personal API key (simpler, but agent posts as you)
# LINEAR_API_KEY=lin_api_...
LINEAR_WEBHOOK_SECRET=your-webhook-signing-secret
LINEAR_BOT_USERNAME=NanoClaw Bot
LINEAR_TEAM_KEY=ENG
LINEAR_API_KEY=lin_api_...
LINEAR_WEBHOOK_SECRET=your-webhook-secret
```
- `LINEAR_BOT_USERNAME`: display name for the bot (used for self-message detection when using a Personal API Key)
- `LINEAR_TEAM_KEY`: the Linear team key (e.g. `ENG`, `NAN`). Find it in Linear under Settings > Teams. All issues in this team route to one messaging group.
Sync to container: `mkdir -p data/env && cp .env data/env/env`
## Wiring
Ask the user: **Is this a private or public Linear workspace?**
- **Private workspace** — use `unknown_sender_policy: 'public'`. Only workspace members can comment.
- **Public workspace** — use `unknown_sender_policy: 'strict'` and add trusted members (see GitHub skill for member registration example).
Run `/manage-channels` to wire the Linear channel to an agent group, or insert manually:
```sql
-- Create messaging group (one per team)
INSERT INTO messaging_groups (id, channel_type, platform_id, instance, name, is_group, unknown_sender_policy, created_at)
VALUES ('mg-linear-eng', 'linear', 'linear:ENG', 'linear', 'Engineering', 1, 'public', datetime('now'));
-- Wire to agent group
INSERT INTO messaging_group_agents (id, messaging_group_id, agent_group_id, trigger_rules, response_scope, session_mode, priority, created_at)
VALUES ('mga-linear-eng', 'mg-linear-eng', '<your-agent-group-id>', '', 'all', 'per-thread', 10, datetime('now'));
```
The `platform_id` must be `linear:<TEAM_KEY>` matching the `LINEAR_TEAM_KEY` env var. Use `per-thread` session mode so each issue comment thread gets its own agent session.
## Next Steps
If you're in the middle of `/setup`, return to the setup flow now.
Otherwise, restart the service to pick up the new channel.
Run from your NanoClaw project root:
```bash
source setup/lib/install-slug.sh
launchctl kickstart -k gui/$(id -u)/$(launchd_label) # macOS
systemctl --user restart $(systemd_unit) # Linux
```
Otherwise, run `/manage-channels` to wire this channel to an agent group.
## Channel Info
- **type**: `linear`
- **terminology**: Linear has "teams" containing "issues." Each issue's comment thread is a separate conversation.
- **how-to-find-id**: The platform ID is `linear:<TEAM_KEY>` (e.g. `linear:ENG`). Find your team key in Linear under Settings > Teams. Each issue becomes its own thread automatically.
- **how-to-find-id**: The platform ID is your team key (e.g. `ENG`). Find it in Linear under Settings > Teams. Each issue becomes its own thread automatically.
- **supports-threads**: yes (issue comment threads are native conversations)
- **typical-use**: Webhook-driven — the agent receives all issue comment events and responds automatically. No @-mention needed (Linear OAuth apps can't be @-mentioned).
- **default-isolation**: Use `per-thread` session mode. Each issue comment thread gets its own isolated agent session.
- **typical-use**: Webhook/notification — the agent receives issue comment events and responds in threads
- **default-isolation**: Typically shares a session with a chat channel (e.g. Slack) so the agent can discuss issues in the same context as team chat. Use a separate agent group if the Linear team tracks sensitive work.
+3
View File
@@ -0,0 +1,3 @@
# Verify Linear Channel
@mention the bot in a Linear issue comment. The bot should respond within a few seconds.
@@ -1,22 +0,0 @@
# Remove macOS Menu Bar Status Indicator
Every step is idempotent — safe to re-run.
## 1. Unload the launchd service
```bash
launchctl bootout gui/$(id -u)/com.nanoclaw.statusbar 2>/dev/null \
|| launchctl unload ~/Library/LaunchAgents/com.nanoclaw.statusbar.plist 2>/dev/null \
|| true
```
## 2. Delete the produced files
```bash
rm -f ~/Library/LaunchAgents/com.nanoclaw.statusbar.plist \
dist/statusbar \
logs/statusbar.log \
logs/statusbar.error.log
```
The menu bar icon disappears once the service is unloaded.
+7 -1
View File
@@ -124,4 +124,10 @@ Tell the user:
>
> Use **Restart** after making code changes, and **View Logs** to open the log file directly.
To uninstall, follow [REMOVE.md](REMOVE.md).
## Removal
```bash
launchctl unload ~/Library/LaunchAgents/com.nanoclaw.statusbar.plist
rm ~/Library/LaunchAgents/com.nanoclaw.statusbar.plist
rm dist/statusbar
```
+5 -54
View File
@@ -1,55 +1,6 @@
# Remove Matrix
# Remove Matrix Channel
Every step is idempotent — safe to re-run.
## 1. Remove the adapter
Delete the self-registration import from `src/channels/index.ts` (skip if already gone):
```typescript
import './matrix.js';
```
Then delete the copied adapter and its registration test:
```bash
rm -f src/channels/matrix.ts src/channels/matrix-registration.test.ts
```
## 2. Remove credentials
Remove the `MATRIX_*` lines from `.env`:
```bash
MATRIX_BASE_URL
MATRIX_USERNAME
MATRIX_PASSWORD
MATRIX_USER_ID
MATRIX_BOT_USERNAME
MATRIX_ACCESS_TOKEN
MATRIX_INVITE_AUTOJOIN
MATRIX_INVITE_AUTOJOIN_ALLOWLIST
MATRIX_RECOVERY_KEY
MATRIX_DEVICE_ID
```
Then re-sync to the container:
```bash
mkdir -p data/env && cp .env data/env/env
```
## 3. Remove the package
```bash
pnpm uninstall @beeper/chat-adapter-matrix
```
## 4. Rebuild and restart
```bash
pnpm run build
source setup/lib/install-slug.sh
launchctl kickstart -k gui/$(id -u)/$(launchd_label) # macOS
# Linux: systemctl --user restart $(systemd_unit)
```
1. Comment out `import './matrix.js'` in `src/channels/index.ts`
2. Remove `MATRIX_BASE_URL`, `MATRIX_ACCESS_TOKEN`, `MATRIX_USER_ID`, `MATRIX_BOT_USERNAME` from `.env`
3. `pnpm uninstall @beeper/chat-adapter-matrix`
4. Rebuild and restart
+16 -80
View File
@@ -16,7 +16,6 @@ NanoClaw doesn't ship channels in trunk. This skill copies the Matrix adapter in
Skip to **Credentials** if all of these are already in place:
- `src/channels/matrix.ts` exists
- `src/channels/matrix-registration.test.ts` exists
- `src/channels/index.ts` contains `import './matrix.js';`
- `@beeper/chat-adapter-matrix` is listed in `package.json` dependencies
@@ -28,11 +27,10 @@ Otherwise continue. Every step below is safe to re-run.
git fetch origin channels
```
### 2. Copy the adapter and its registration test
### 2. Copy the adapter
```bash
git show origin/channels:src/channels/matrix.ts > src/channels/matrix.ts
git show origin/channels:src/channels/matrix-registration.test.ts > src/channels/matrix-registration.test.ts
git show origin/channels:src/channels/matrix.ts > src/channels/matrix.ts
```
### 3. Append the self-registration import
@@ -49,95 +47,33 @@ import './matrix.js';
pnpm install @beeper/chat-adapter-matrix@0.2.0
```
### 5. Patch matrix-js-sdk ESM imports
The adapter's published dist references `matrix-js-sdk/lib/...` without `.js`
extensions, which fails under Node 22 strict ESM resolution. Add the missing
extensions (idempotent — safe to re-run):
```bash
node -e '
const fs = require("fs"), path = require("path");
const root = "node_modules/.pnpm";
const dir = fs.readdirSync(root).find(d => d.startsWith("@beeper+chat-adapter-matrix@"));
if (!dir) { console.log("Matrix adapter not installed"); process.exit(0); }
const f = path.join(root, dir, "node_modules/@beeper/chat-adapter-matrix/dist/index.js");
fs.writeFileSync(f, fs.readFileSync(f, "utf8").replace(
/from "(matrix-js-sdk\/lib\/[^"]+?)(?<!\.js)"/g, "from \"$1.js\""
));
console.log("Patched", f);
'
```
Re-run this after every `pnpm install` that touches the adapter.
### 6. Build and validate
### 5. Build
```bash
pnpm run build
pnpm exec vitest run src/channels/matrix-registration.test.ts
```
Both must be clean before proceeding. `matrix-registration.test.ts` is the one integration test: it imports the real channel barrel and asserts the registry contains `matrix`. It goes red if the `import './matrix.js';` line is deleted or drifts, if the barrel fails to evaluate, or if `@beeper/chat-adapter-matrix` isn't installed (the import throws) — so it also implicitly verifies the dependency from step 4. The adapter also calls core's `createChatSdkBridge(...)`; that typed core-API consumption is guarded by `pnpm run build`.
End-to-end message delivery against a real Matrix homeserver is verified manually once the service is running — see Next Steps.
## Credentials
The bot needs its own Matrix account — separate from the user's account. This is required because Matrix cannot send DMs to yourself.
1. Register a bot account on your Matrix homeserver (e.g., via Element)
2. Get the homeserver URL (e.g., `https://matrix.org` or your self-hosted URL)
3. Get an access token:
- In Element: **Settings** > **Help & About** > **Access Token** (advanced)
- Or via API: `curl -XPOST 'https://matrix.org/_matrix/client/r0/login' -d '{"type":"m.login.password","user":"botuser","password":"..."}'`
4. Note the bot's user ID (e.g., `@botuser:matrix.org`)
### Create a bot account
### Configure environment
1. Open [app.element.io](https://app.element.io) in a private/incognito window (or sign out first)
2. Register a new account for the bot (e.g. `andybot` on matrix.org)
3. Note the bot's user ID (e.g. `@andybot:matrix.org`)
### Choose an auth method
**Option A: Username + Password (simpler)**
No extra steps — just use the bot account's credentials directly. The adapter logs in automatically.
```bash
MATRIX_BASE_URL=https://matrix.org
MATRIX_USERNAME=andybot
MATRIX_PASSWORD=your-bot-password
MATRIX_USER_ID=@andybot:matrix.org
MATRIX_BOT_USERNAME=Andy
```
**Option B: Access Token (recommended for production)**
Get an access token from Element: sign into the bot account → **Settings** > **Help & About** > **Access Token** (under Advanced). Or via API:
```bash
curl -XPOST 'https://matrix.org/_matrix/client/r0/login' \
-d '{"type":"m.login.password","user":"andybot","password":"..."}'
```
Add to `.env`:
```bash
MATRIX_BASE_URL=https://matrix.org
MATRIX_ACCESS_TOKEN=your-access-token
MATRIX_USER_ID=@andybot:matrix.org
MATRIX_BOT_USERNAME=Andy
MATRIX_USER_ID=@botuser:matrix.org
MATRIX_BOT_USERNAME=botuser
```
### Optional settings
```bash
MATRIX_INVITE_AUTOJOIN=true # Auto-accept room invites (default: true)
MATRIX_INVITE_AUTOJOIN_ALLOWLIST=@you:matrix.org # Only accept invites from these users
MATRIX_RECOVERY_KEY=your-recovery-key # Enable E2EE cross-signing
MATRIX_DEVICE_ID=NANOCLAW01 # Stable device ID across restarts
```
### Configure environment
Add the chosen env vars to `.env`, then sync:
```bash
mkdir -p data/env && cp .env data/env/env
```
Sync to container: `mkdir -p data/env && cp .env data/env/env`
## Next Steps
@@ -149,7 +85,7 @@ Otherwise, run `/manage-channels` to wire this channel to an agent group.
- **type**: `matrix`
- **terminology**: Matrix has "rooms." A room can be a group chat or a direct message. Rooms have internal IDs (like `!abc123:matrix.org`) and optional aliases (like `#general:matrix.org`).
- **how-to-find-id**: For DMs, use the bot's `openDM` to resolve the room automatically. For group rooms, in Element click the room name > Settings > Advanced — the "Internal room ID" is the platform ID (starts with `!`). Or use a room alias like `#general:matrix.org`.
- **how-to-find-id**: In Element, click the room name > Settings > Advanced — the "Internal room ID" is the platform ID (starts with `!`). Or use a room alias like `#general:matrix.org`.
- **supports-threads**: partial (some clients support threads, but not all — treat as no for reliability)
- **typical-use**: Interactive chat — rooms or direct messages. Requires a separate bot account (the agent cannot DM users from their own account).
- **typical-use**: Interactive chat — rooms or direct messages
- **default-isolation**: Same agent group for rooms where you're the primary user. Separate agent group for rooms with different communities or sensitive contexts.
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@@ -0,0 +1,3 @@
# Verify Matrix Channel
Invite the bot to a Matrix room and send a message. The bot should respond within a few seconds.
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@@ -1,60 +0,0 @@
# Remove Mnemon
Every step is idempotent — safe to run even if some steps were never applied.
## 1. Strip the Dockerfile install layer
Open `container/Dockerfile` and delete the mnemon block (the `# ---- mnemon` comment, the `ARG MNEMON_VERSION`, the `RUN` that downloads the binary, and the `ENV MNEMON_DATA_DIR` line):
```dockerfile
# ---- mnemon — persistent agent memory ----------------------------------------
ARG MNEMON_VERSION=0.1.1
RUN ARCH=$(dpkg --print-architecture) && \
curl -fsSL "https://github.com/mnemon-dev/mnemon/releases/download/v${MNEMON_VERSION}/mnemon_${MNEMON_VERSION}_linux_${ARCH}.tar.gz" \
| tar -xz -C /usr/local/bin mnemon && \
chmod +x /usr/local/bin/mnemon
ENV MNEMON_DATA_DIR=/home/node/.claude/mnemon
```
If the block is already gone, skip this step.
## 2. Strip the entrypoint setup line
Open `container/entrypoint.sh` and delete the `mnemon setup` line that follows `set -e`:
```bash
mnemon setup --target claude-code --yes --global >/dev/stderr 2>&1
```
If the line is already gone, skip this step.
## 3. Delete the copied test files
```bash
rm -f src/mnemon-dockerfile.test.ts src/mnemon-entrypoint.test.ts
```
## 4. Rebuild and restart
```bash
pnpm run build && ./container/build.sh
source setup/lib/install-slug.sh
# macOS
launchctl kickstart -k gui/$(id -u)/$(launchd_label)
# Linux
systemctl --user restart $(systemd_unit)
```
## 5. Delete stored memory (optional)
Mnemon's graph lives at `/home/node/.claude/mnemon/` in each container, which maps to the per-agent-group `.claude/` directory on the host. To find the host path and clear it:
```bash
docker inspect $(docker ps --filter name=nanoclaw-v2 --format '{{.Names}}' | head -1) \
--format '{{range .Mounts}}{{if eq .Destination "/home/node/.claude"}}{{.Source}}{{end}}{{end}}'
```
Stop the container, then delete the `mnemon/` subdirectory from that path.
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---
name: add-mnemon
description: Add persistent graph-based memory via mnemon. Agents recall past context before responding and remember insights after each turn.
---
# Add Mnemon — Persistent Memory
Installs [mnemon](https://github.com/mnemon-dev/mnemon) in the agent container image. On each container start, `mnemon setup` registers Claude Code hooks that surface relevant memory before the agent responds and store new insights after each turn. Memory is written to the per-agent-group `.claude/` mount and survives container restarts.
## Provider Compatibility
mnemon hooks fire only under `--target claude-code`. Use this skill on agent groups that run the default Claude provider (`AGENT_PROVIDER=claude`). Confirm the provider before applying:
```bash
grep AGENT_PROVIDER .env groups/*/container.json 2>/dev/null
```
If a group uses a different provider (e.g. `AGENT_PROVIDER=opencode`), it spawns its own process and never invokes the `claude` CLI, so the hooks registered by `mnemon setup` do not run for that group.
## Phase 1: Pre-flight
### Check if already applied
```bash
grep -q 'MNEMON_VERSION' container/Dockerfile && echo "Already applied" || echo "Not applied"
```
If already applied, re-run Phase 2 anyway — every step is idempotent and skips work that is already in place — then continue to Phase 3 (Verify).
### Check latest mnemon version
```bash
curl -fsSL https://api.github.com/repos/mnemon-dev/mnemon/releases/latest | grep '"tag_name"'
```
Note the version (e.g. `v0.1.1`) — use it as `MNEMON_VERSION` in the next step.
## Phase 2: Apply Changes
### 1. Dockerfile — install mnemon binary
Insert the mnemon block immediately above the `# ---- Bun runtime` section of `container/Dockerfile` (skip if `grep -q 'MNEMON_VERSION' container/Dockerfile` already matches):
```dockerfile
# ---- mnemon — persistent agent memory ----------------------------------------
ARG MNEMON_VERSION=0.1.1
RUN ARCH=$(dpkg --print-architecture) && \
curl -fsSL "https://github.com/mnemon-dev/mnemon/releases/download/v${MNEMON_VERSION}/mnemon_${MNEMON_VERSION}_linux_${ARCH}.tar.gz" \
| tar -xz -C /usr/local/bin mnemon && \
chmod +x /usr/local/bin/mnemon
ENV MNEMON_DATA_DIR=/home/node/.claude/mnemon
```
`MNEMON_DATA_DIR` points into the per-agent-group `.claude/` mount, so memory persists across container restarts.
### 2. Entrypoint — run mnemon setup on each container start
`mnemon setup` is idempotent. Run it once per `container/entrypoint.sh`. First check whether the line is already present:
```bash
grep -q 'mnemon setup' container/entrypoint.sh && echo "Already wired" || echo "Wire it"
```
If it prints `Wire it`, add the setup call right after `set -e`, before the `cat` that captures stdin, so the result looks like:
```bash
#!/bin/bash
# NanoClaw agent container entrypoint.
#
# ...existing header comment...
set -e
mnemon setup --target claude-code --yes --global >/dev/stderr 2>&1
cat > /tmp/input.json
exec bun run /app/src/index.ts < /tmp/input.json
```
`>/dev/stderr 2>&1` routes all mnemon output to stderr (docker logs) so it doesn't interfere with the JSON stdin handshake between host and agent-runner.
### 3. Copy the integration tests
Both reach-ins are into container build/runtime files that aren't importable or typed (a GitHub-release binary in the Dockerfile, a shell line in the entrypoint), so structural tests guard them. Copy them into the host test tree:
```bash
cp .claude/skills/add-mnemon/mnemon-dockerfile.test.ts src/mnemon-dockerfile.test.ts
cp .claude/skills/add-mnemon/mnemon-entrypoint.test.ts src/mnemon-entrypoint.test.ts
pnpm exec vitest run src/mnemon-dockerfile.test.ts src/mnemon-entrypoint.test.ts
```
`mnemon-dockerfile.test.ts` asserts the `MNEMON_VERSION` ARG and `MNEMON_DATA_DIR` ENV are present (red if the install layer is dropped on an upgrade). `mnemon-entrypoint.test.ts` asserts the entrypoint invokes `mnemon setup --target claude-code` (red if the wiring is removed).
### 4. Rebuild and smoke-test the image
```bash
./container/build.sh
docker run --rm --entrypoint mnemon nanoclaw-agent:latest --version
```
## Phase 3: Restart and Verify
### Restart the service
Run from your NanoClaw project root:
```bash
source setup/lib/install-slug.sh
systemctl --user restart $(systemd_unit) # Linux
# launchctl kickstart -k gui/$(id -u)/$(launchd_label) # macOS
```
### Confirm mnemon hooks are registered
After the next container starts, check that setup ran:
```bash
docker logs $(docker ps --filter name=nanoclaw-v2 --format '{{.Names}}' | head -1) 2>&1 | grep -i mnemon
```
Then inspect the hooks inside the running container:
```bash
docker exec $(docker ps --filter name=nanoclaw-v2 --format '{{.Names}}' | head -1) \
cat /home/node/.claude/settings.json | grep -A5 mnemon
```
### Test memory recall
Have a conversation with the agent, then start a new session and reference something from the earlier one. Mnemon should surface the relevant context automatically without you restating it.
## Memory Storage
Mnemon writes to `/home/node/.claude/mnemon/` inside the container, which maps to the per-agent-group `.claude/` directory on the host. To find the exact host path:
```bash
docker inspect $(docker ps --filter name=nanoclaw-v2 --format '{{.Names}}' | head -1) \
--format '{{range .Mounts}}{{if eq .Destination "/home/node/.claude"}}{{.Source}}{{end}}{{end}}'
```
To reset all memory for an agent, stop the container and delete the `mnemon/` subdirectory from that host path.
## Troubleshooting
### `mnemon: command not found` in container
The image wasn't rebuilt after adding the Dockerfile layer. Run `./container/build.sh` and restart.
### Memory not persisting across restarts
Verify `MNEMON_DATA_DIR` resolves to a mounted path (not an in-container ephemeral directory):
```bash
docker exec <container> sh -c 'ls -la $MNEMON_DATA_DIR'
```
If the directory is empty after conversations, the mount is missing or the path is wrong. Check the host mount with the `docker inspect` command above.
### Agent not using past memory
`mnemon setup` writes hooks into `/home/node/.claude/settings.json`. Verify:
```bash
docker exec <container> cat /home/node/.claude/settings.json
```
If the hooks are absent, `mnemon setup` may have failed silently. Check container startup logs for errors from mnemon.
### Setup fails at container start
Run setup manually inside a running container to see the full error:
```bash
docker exec -it <container> mnemon setup --target claude-code --yes --global
```
@@ -1,36 +0,0 @@
/**
* Structural guard for the mnemon Dockerfile reach-in (the dependency install).
*
* mnemon ships as a GitHub-release binary, not an npm package, so it can't be
* imported or typechecked. The only red-on-drift guard is asserting the install
* layer is present in container/Dockerfile: drop the layer on an upgrade and the
* container starts with "mnemon: command not found", but nothing else fails.
* This test reads the Dockerfile and asserts the MNEMON_VERSION ARG and the
* MNEMON_DATA_DIR ENV are both present.
*/
import fs from 'fs';
import path from 'path';
import { describe, it, expect } from 'vitest';
function dockerfile(): string {
// From src/ up to repo root, then into container/.
const p = path.resolve(__dirname, '..', 'container', 'Dockerfile');
return fs.readFileSync(p, 'utf8');
}
describe('container/Dockerfile installs the mnemon binary', () => {
const text = dockerfile();
it('declares the MNEMON_VERSION build arg', () => {
expect(text).toMatch(/ARG\s+MNEMON_VERSION/);
});
it('downloads the mnemon release binary', () => {
expect(text).toContain('mnemon-dev/mnemon/releases/download');
});
it('sets MNEMON_DATA_DIR into the .claude mount', () => {
expect(text).toMatch(/ENV\s+MNEMON_DATA_DIR=/);
});
});
@@ -1,27 +0,0 @@
/**
* Structural guard for the mnemon entrypoint reach-in.
*
* container/entrypoint.sh runs on every container start; the inserted
* `mnemon setup --target claude-code` line is what registers the Claude Code
* memory hooks. The entrypoint is a shell script, not an invocable function, so
* the guard is structural: assert the setup invocation is present. Drop it on an
* upgrade and the hooks silently never register — this test goes red.
*/
import fs from 'fs';
import path from 'path';
import { describe, it, expect } from 'vitest';
function entrypoint(): string {
// From src/ up to repo root, then into container/.
const p = path.resolve(__dirname, '..', 'container', 'entrypoint.sh');
return fs.readFileSync(p, 'utf8');
}
describe('container/entrypoint.sh runs mnemon setup on start', () => {
const text = entrypoint();
it('invokes mnemon setup targeting claude-code', () => {
expect(text).toMatch(/mnemon\s+setup\s+--target\s+claude-code/);
});
});
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---
name: add-ollama-provider
description: Route a NanoClaw agent group to a local Ollama model instead of the Anthropic API. Ollama speaks the Anthropic API natively (v1/messages), so no provider code changes are needed — just env var overrides and a model setting. Use when the user wants to run their agent locally, cut API costs, or experiment with open-weight models. See docs/ollama.md for background.
---
# Add Ollama Provider
Routes an agent group to a local Ollama instance instead of the Anthropic API.
See `docs/ollama.md` for how this works and the tradeoffs involved.
## Prerequisites
1. **Ollama is installed and running** on the host — verify: `curl -s http://localhost:11434/api/tags`
2. **A model is pulled** — e.g. `ollama pull gemma4` or `ollama pull qwen3-coder`
3. **The agent group already exists** — run `/init-first-agent` first if needed
## 1. Check source support
The feature requires two fields in `ContainerConfig` (`env` and `blockedHosts`) and their
corresponding wiring in `container-runner.ts`. Check if already present:
```bash
grep -c 'blockedHosts' src/container-config.ts src/container-runner.ts
```
If either count is 0, apply the changes in steps 1a and 1b. Otherwise skip to step 2.
### 1a. Extend ContainerConfig
In `src/container-config.ts`, add to the `ContainerConfig` interface:
```typescript
env?: Record<string, string>;
blockedHosts?: string[];
```
And in `readContainerConfig`, add inside the returned object:
```typescript
env: raw.env,
blockedHosts: raw.blockedHosts,
```
### 1b. Wire into container-runner
In `src/container-runner.ts`, after the `NANOCLAW_MCP_SERVERS` block, add:
```typescript
// Per-agent-group env overrides — applied last to win over OneCLI values.
if (containerConfig.env) {
for (const [key, value] of Object.entries(containerConfig.env)) {
args.push('-e', `${key}=${value}`);
}
}
// Blocked hosts: resolve to 0.0.0.0 so they are unreachable inside the container.
if (containerConfig.blockedHosts) {
for (const host of containerConfig.blockedHosts) {
args.push('--add-host', `${host}:0.0.0.0`);
}
}
```
### 1c. Fix home directory permissions (if not already done)
The container may run as your host uid (not uid 1000). Check the Dockerfile:
```bash
grep 'chmod.*home/node' container/Dockerfile
```
If it shows `chmod 755`, change it to `chmod 777` so any uid can write there.
Then rebuild the container image: `./container/build.sh`
## 2. Identify the setup
Ask the user (plain text, not AskUserQuestion):
1. **Which agent group?** List available groups: `pnpm exec tsx scripts/q.ts data/v2.db "SELECT folder, name FROM agent_groups;"`
2. **Which Ollama model?** List available: `curl -s http://localhost:11434/api/tags | grep '"name"'`
3. **Block Anthropic API?** Recommended yes — prevents accidental spend if config drifts.
Record as `FOLDER`, `MODEL`, and `BLOCK_ANTHROPIC`.
## 3. Configure container.json
Read `groups/<FOLDER>/container.json`. Add (or merge into) an `env` block and optionally `blockedHosts`:
```json
{
"env": {
"ANTHROPIC_BASE_URL": "http://host.docker.internal:11434",
"ANTHROPIC_API_KEY": "ollama",
"NO_PROXY": "host.docker.internal",
"no_proxy": "host.docker.internal"
},
"blockedHosts": ["api.anthropic.com"]
}
```
Omit `blockedHosts` if the user declined step 2.
**Why these vars:** `ANTHROPIC_BASE_URL` redirects the Anthropic SDK to Ollama.
`ANTHROPIC_API_KEY=ollama` satisfies the SDK's key requirement (Ollama ignores it).
`NO_PROXY` bypasses the OneCLI HTTPS proxy for requests to `host.docker.internal`
so they reach Ollama directly instead of going through the credential gateway.
## 4. Set the model
Read the agent group's shared Claude settings:
```bash
# Find the agent group ID
AG_ID=$(pnpm exec tsx scripts/q.ts data/v2.db "SELECT id FROM agent_groups WHERE folder='<FOLDER>';")
SETTINGS=data/v2-sessions/$AG_ID/.claude-shared/settings.json
```
Add `"model": "<MODEL>"` to that settings file. Create the file if it doesn't exist:
```json
{
"model": "gemma4:latest"
}
```
If the file already has content, merge the `model` key in — don't overwrite existing keys.
**Why here and not container.json:** Claude Code reads its model from its own settings
file, not from env vars. This file is bind-mounted into the container as `~/.claude/settings.json`.
## 5. Build and restart
Run from your NanoClaw project root:
```bash
export PATH="/opt/homebrew/bin:$PATH"
pnpm run build
source setup/lib/install-slug.sh
launchctl unload ~/Library/LaunchAgents/$(launchd_label).plist
launchctl load ~/Library/LaunchAgents/$(launchd_label).plist
# Linux: systemctl --user restart $(systemd_unit)
```
## 6. Verify
Send a message to the agent. Then confirm:
```bash
# Ollama shows the model as active
curl -s http://localhost:11434/api/ps | grep '"name"'
# Container has the right env vars
CTR=$(docker ps --filter "name=nanoclaw-v2-<FOLDER>" --format "{{.Names}}" | head -1)
docker inspect "$CTR" --format '{{json .HostConfig.ExtraHosts}}'
docker exec "$CTR" env | grep ANTHROPIC
```
Expected: `api.anthropic.com:0.0.0.0` in ExtraHosts, `ANTHROPIC_BASE_URL=http://host.docker.internal:11434`.
## Reverting to Claude
To switch back to the Anthropic API:
1. Remove the `env` and `blockedHosts` keys from `groups/<FOLDER>/container.json`
2. Remove `"model"` from the shared settings file
3. Restart the service
No rebuild needed — both files are read at container spawn time.
## Troubleshooting
**Agent hangs, no response:** Ollama may be loading the model cold (large models take 1030s).
Watch `curl -s http://localhost:11434/api/ps` — the model appears once loaded.
**"model not found" error in container logs:** The model name in settings.json doesn't match
what Ollama has. Run `ollama list` on the host and use the exact name shown.
**Responses claim to be Claude:** The model was trained on data that includes Claude conversations.
Add a line to `groups/<FOLDER>/CLAUDE.md` telling it what model it runs on.
**Agent responds but Ollama shows no activity:** `NO_PROXY` may not have taken effect for
`http_proxy` (lowercase). Add both `NO_PROXY` and `no_proxy` to the env block.
-49
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@@ -1,49 +0,0 @@
# Remove Ollama
Idempotent — safe to run even if some steps were never applied.
## 1. Delete the copied files (both trees)
```bash
rm -f container/agent-runner/src/ollama-mcp-stdio.ts \
container/agent-runner/src/ollama-registration.test.ts \
src/ollama-env.ts \
src/ollama-wiring.test.ts
```
## 2. Unregister the MCP server
In `container/agent-runner/src/index.ts`, remove the `ollama: { … }` entry from the `mcpServers` object (leave `nanoclaw` and any other entries).
## 3. Revert the host-side edits in `src/container-runner.ts`
- Remove the `import { ollamaEnvArgs } from './ollama-env.js';` import.
- Remove the `args.push(...ollamaEnvArgs());` line that follows the `TZ` env line.
- Remove the `[OLLAMA]` branch from the `container.stderr` logger. If `[OLLAMA]` was the only prefix branch, restore the logger to its single-line `log.debug(line, …)` form; if other local-model tools still have branches there, just drop the `[OLLAMA]` one and leave the rest intact.
## 4. Remove env vars
Remove the Ollama block from `.env.example`, and the `OLLAMA_HOST` / `OLLAMA_ADMIN_TOOLS` lines from `.env` if you set them.
## 5. Rebuild and restart
Run from your NanoClaw project root:
```bash
pnpm run build && ./container/build.sh
source setup/lib/install-slug.sh
# macOS
launchctl kickstart -k gui/$(id -u)/$(launchd_label)
# Linux
systemctl --user restart $(systemd_unit)
```
## Verification
After removal, confirm the tool is gone — in a wired agent, asking it to "list ollama models" should report no such tool, and the logs should show no `[OLLAMA]` lines after the last restart:
```bash
grep "\[OLLAMA\]" logs/nanoclaw.log | tail -5
```
+74 -178
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@@ -5,19 +5,17 @@ description: Add Ollama MCP server so the container agent can call local models
# Add Ollama Integration
This skill adds a stdio-based MCP server that exposes local [Ollama](https://ollama.com) models as tools for the container agent. Claude remains the orchestrator but can offload work to local models served by the Ollama daemon on the host, and can optionally manage the model library directly. Ollama runs locally and is keyless — there are no credentials to thread; the only configuration is the daemon's base URL.
This skill adds a stdio-based MCP server that exposes local Ollama models as tools for the container agent. Claude remains the orchestrator but can offload work to local models, and can optionally manage the model library directly.
Core tools (always available):
- `ollama_list_models` — list installed models with name, size, and family (`GET /api/tags`)
- `ollama_generate` — send a prompt to a specified model and return the response (`POST /api/generate`)
- `ollama_list_models` — list installed Ollama models with name, size, and family
- `ollama_generate` — send a prompt to a specified model and return the response
Management tools (opt-in via `OLLAMA_ADMIN_TOOLS=true`):
- `ollama_pull_model` — pull (download) a model from the Ollama registry (`POST /api/pull`)
- `ollama_delete_model` — delete a locally installed model to free disk space (`DELETE /api/delete`)
- `ollama_show_model` — show model details: modelfile, parameters, and architecture info (`POST /api/show`)
- `ollama_list_running` — list models currently loaded in memory with memory usage and processor type (`GET /api/ps`)
The skill ships the MCP server source (and its tests) in this folder and copies them into the agent-runner tree at install time, then registers the server in `index.ts` and forwards host env vars in `container-runner.ts`. Registering the server is enough to expose its tools — the agent's allow-pattern (`mcp__ollama__*`) is derived from the registered server name.
- `ollama_pull_model` — pull (download) a model from the Ollama registry
- `ollama_delete_model` — delete a locally installed model to free disk space
- `ollama_show_model` — show model details: modelfile, parameters, and architecture info
- `ollama_list_running` — list models currently loaded in memory with memory usage and processor type
## Phase 1: Pre-flight
@@ -27,173 +25,77 @@ Check if `container/agent-runner/src/ollama-mcp-stdio.ts` exists. If it does, sk
### Check prerequisites
Verify Ollama is installed and its daemon is reachable. On the host:
Verify Ollama is installed and running on the host:
```bash
curl -s http://127.0.0.1:11434/api/tags | head
ollama list
```
If the request fails:
1. Install Ollama from https://ollama.com/download.
2. Start it (the desktop app runs the daemon, or run `ollama serve`).
3. Confirm the daemon answers: `curl -s http://127.0.0.1:11434/api/tags`.
If Ollama is not installed, direct the user to https://ollama.com/download.
If no models are installed, suggest pulling one:
> You need at least one model. For example:
> You need at least one model. I recommend:
>
> ```bash
> ollama pull gemma3:1b # Small, fast (~1GB)
> ollama pull llama3.2 # Good general purpose (~2GB)
> ollama pull qwen3-coder:30b # Best for code tasks (~18GB)
> ollama pull gemma3:1b # Small, fast (1GB)
> ollama pull llama3.2 # Good general purpose (2GB)
> ollama pull qwen3-coder:30b # Best for code tasks (18GB)
> ```
## Phase 2: Apply Code Changes
### Copy the skill's source and tests into both trees
This skill reaches into both the container (Bun) tree and the host (Node) tree, so its
files go into both, alongside the integration points they cover.
### Ensure upstream remote
```bash
S=.claude/skills/add-ollama-tool
# Container (Bun) tree — the MCP server and the registration wiring test
cp $S/ollama-mcp-stdio.ts container/agent-runner/src/ollama-mcp-stdio.ts
cp $S/ollama-registration.test.ts container/agent-runner/src/ollama-registration.test.ts
# Host (Node) tree — the env-forwarding helper and the wiring test
cp $S/ollama-env.ts src/ollama-env.ts
cp $S/ollama-wiring.test.ts src/ollama-wiring.test.ts
git remote -v
```
### Register the MCP server in the agent-runner
Edit `container/agent-runner/src/index.ts`. Find the `mcpServers` object that currently looks like this:
```ts
const mcpServers: Record<string, { command: string; args: string[]; env: Record<string, string> }> = {
nanoclaw: {
command: 'bun',
args: ['run', mcpServerPath],
env: {},
},
};
```
Add an `ollama` entry alongside `nanoclaw`:
```ts
const mcpServers: Record<string, { command: string; args: string[]; env: Record<string, string> }> = {
nanoclaw: {
command: 'bun',
args: ['run', mcpServerPath],
env: {},
},
ollama: {
command: 'bun',
args: ['run', path.join(__dirname, 'ollama-mcp-stdio.ts')],
env: {
...(process.env.OLLAMA_HOST ? { OLLAMA_HOST: process.env.OLLAMA_HOST } : {}),
...(process.env.OLLAMA_ADMIN_TOOLS ? { OLLAMA_ADMIN_TOOLS: process.env.OLLAMA_ADMIN_TOOLS } : {}),
},
},
};
```
`ollama-registration.test.ts` asserts this entry is present and points at the server module — the tool only appears to the agent if it is registered here.
### Forward host env vars into the container
The container receives `TZ` and OneCLI networking vars by default; any other host env
var the MCP subprocess needs must be forwarded explicitly. The forwarding logic lives in
the copied `src/ollama-env.ts` (`ollamaEnvArgs()`) — `OLLAMA_HOST` (the daemon base URL)
and `OLLAMA_ADMIN_TOOLS` (the library-management opt-in flag). Both are configuration, not
credentials, so they are passed through plainly; Ollama itself is local and keyless.
Import it in `src/container-runner.ts` (alongside the other local imports):
```ts
import { ollamaEnvArgs } from './ollama-env.js';
```
Then, in `buildContainerArgs`, find the `TZ` env line and add the call right after it:
```ts
args.push('-e', `TZ=${TIMEZONE}`);
args.push(...ollamaEnvArgs());
```
`ollama-wiring.test.ts` asserts this `args.push(...ollamaEnvArgs())` call exists inside `buildContainerArgs`.
### Surface `[OLLAMA]` log lines at info level
> **Shared block.** This rewrites the `container.stderr` logger, which other local-model tools (e.g. `add-atomic-chat-tool` for `[ATOMIC]`) also edit to surface their own prefix. Touch only the `[OLLAMA]` branch and leave the rest of the block intact, so the edits coexist and removal restores it cleanly.
In the same file, find the stderr logger:
```ts
container.stderr?.on('data', (data) => {
for (const line of data.toString().trim().split('\n')) {
if (line) log.debug(line, { container: agentGroup.folder });
}
});
```
Replace it with:
```ts
container.stderr?.on('data', (data) => {
for (const line of data.toString().trim().split('\n')) {
if (!line) continue;
if (line.includes('[OLLAMA]')) {
log.info(line, { container: agentGroup.folder });
} else {
log.debug(line, { container: agentGroup.folder });
}
}
});
```
If `add-atomic-chat-tool` (or another local-model tool) has already turned this into a
multi-branch block, just add an `else if (line.includes('[OLLAMA]'))` branch instead of
replacing it.
### Add env-var stubs to `.env.example`
Append to `.env.example`:
If `upstream` is missing, add it:
```bash
# Ollama MCP tool (.claude/skills/add-ollama-tool)
# Override the host where the Ollama daemon listens.
# Default: http://host.docker.internal:11434 (with fallback to localhost)
# OLLAMA_HOST=http://host.docker.internal:11434
git remote add upstream https://github.com/qwibitai/nanoclaw.git
```
# Opt in to library-management tools (pull, delete, show, list-running).
# Leave unset to expose only list + generate.
# OLLAMA_ADMIN_TOOLS=true
### Merge the skill branch
```bash
git fetch upstream skill/ollama-tool
git merge upstream/skill/ollama-tool
```
This merges in:
- `container/agent-runner/src/ollama-mcp-stdio.ts` (Ollama MCP server)
- `scripts/ollama-watch.sh` (macOS notification watcher)
- Ollama MCP config in `container/agent-runner/src/index.ts` (allowedTools + mcpServers)
- `[OLLAMA]` log surfacing in `src/container-runner.ts`
- `OLLAMA_HOST` in `.env.example`
If the merge reports conflicts, resolve them by reading the conflicted files and understanding the intent of both sides.
### Copy to per-group agent-runner
Existing groups have a cached copy of the agent-runner source. Copy the new files:
```bash
for dir in data/sessions/*/agent-runner-src; do
cp container/agent-runner/src/ollama-mcp-stdio.ts "$dir/"
cp container/agent-runner/src/index.ts "$dir/"
done
```
### Validate code changes
```bash
pnpm run build
pnpm exec tsc -p container/agent-runner/tsconfig.json --noEmit
# Host tree: buildContainerArgs wiring
pnpm exec vitest run src/ollama-wiring.test.ts
# Container tree: index.ts registration
(cd container/agent-runner && bun test src/ollama-registration.test.ts)
./container/build.sh
```
All must be clean before proceeding. The wiring and registration tests confirm the two
integration points — the `buildContainerArgs` call and the `index.ts` registration — are
actually in place; a failure means one drifted. (The MCP server's own request/response
behavior against the Ollama daemon is the author's build-time concern, not part of these
tests — verify it manually in Phase 4.)
Build must be clean before proceeding.
## Phase 3: Configure
### Enable library-management tools (optional)
### Enable model management tools (optional)
Ask the user:
@@ -208,7 +110,7 @@ If the user wants management tools, add to `.env`:
OLLAMA_ADMIN_TOOLS=true
```
If they decline (or don't answer), leave the variable unset — only list + generate are exposed.
If they decline (or don't answer), do not add the variable — management tools will be disabled by default.
### Set Ollama host (optional)
@@ -220,12 +122,9 @@ OLLAMA_HOST=http://your-ollama-host:11434
### Restart the service
Run from your NanoClaw project root:
```bash
source setup/lib/install-slug.sh
launchctl kickstart -k gui/$(id -u)/$(launchd_label) # macOS
# Linux: systemctl --user restart $(systemd_unit)
launchctl kickstart -k gui/$(id -u)/com.nanoclaw # macOS
# Linux: systemctl --user restart nanoclaw
```
## Phase 4: Verify
@@ -246,6 +145,14 @@ If `OLLAMA_ADMIN_TOOLS=true` was set, tell the user:
>
> The agent should call `ollama_pull_model` or `ollama_list_running` respectively.
### Monitor activity (optional)
Run the watcher script for macOS notifications when Ollama is used:
```bash
./scripts/ollama-watch.sh
```
### Check logs if needed
```bash
@@ -253,45 +160,34 @@ tail -f logs/nanoclaw.log | grep -i ollama
```
Look for:
- `[OLLAMA] Listing models...` — list request started
- `[OLLAMA] Found N models` — models discovered
- `[OLLAMA] >>> Generating with <model>` — generation started
- `[OLLAMA] <<< Done: <model> | Xs | N tokens | M chars` — generation completed
- `[OLLAMA] >>> Generating` — generation started
- `[OLLAMA] <<< Done` — generation completed
- `[OLLAMA] Pulling model:` — pull in progress (management tools)
- `[OLLAMA] Deleted:` — model removed (management tools)
## Troubleshooting
### Agent says "Ollama is not installed" or tries to run a CLI
### Agent says "Ollama is not installed"
The agent is looking for an `ollama` CLI inside the container instead of using the MCP tools. This means:
1. The MCP server wasn't copied — check `container/agent-runner/src/ollama-mcp-stdio.ts` exists
2. The MCP server wasn't registered — check `container/agent-runner/src/index.ts` has the `ollama` entry in `mcpServers` (the allow-pattern is derived from this, so registration is the only thing to check)
The agent is trying to run `ollama` CLI inside the container instead of using the MCP tools. This means:
1. The MCP server wasn't registered — check `container/agent-runner/src/index.ts` has the `ollama` entry in `mcpServers`
2. The per-group source wasn't updated — re-copy files (see Phase 2)
3. The container wasn't rebuilt — run `./container/build.sh`
### "Failed to connect to Ollama"
1. Verify the daemon is reachable: `curl http://127.0.0.1:11434/api/tags`
2. Confirm Ollama is running (`ollama list` on the host)
3. Check Docker can reach the host: `docker run --rm curlimages/curl curl -s http://host.docker.internal:11434/api/tags`
4. If using a custom host, check `OLLAMA_HOST` in `.env`
### `model not found` / 404 on generate
The model name passed to `ollama_generate` must exactly match one of the names returned by `ollama_list_models` (including any `:tag` suffix, e.g. `gemma3:1b`). Ask the agent to list models first, then pick one from that list.
### `ollama_pull_model` times out on large models
Large models (7B+) can take several minutes. The tool uses `stream: false` so it blocks until the pull completes — this is intentional. For very large pulls, use the host CLI directly: `ollama pull <model>`.
### Management tools not showing up
Ensure `OLLAMA_ADMIN_TOOLS=true` is set in `.env` and the service was restarted after adding it. The management tools are only registered when that flag is present in the container's environment.
### Slow first response
Ollama lazy-loads models into memory on first use. The initial call may take longer while the model warms up. Subsequent calls against the same model are fast.
1. Verify Ollama is running: `ollama list`
2. Check Docker can reach the host: `docker run --rm curlimages/curl curl -s http://host.docker.internal:11434/api/tags`
3. If using a custom host, check `OLLAMA_HOST` in `.env`
### Agent doesn't use Ollama tools
The agent may not know about the tools. Try being explicit: "use the ollama_generate tool with gemma3:1b to answer: ..."
### `ollama_pull_model` times out on large models
Large models (7B+) can take several minutes. The tool uses `stream: false` so it blocks until complete — this is intentional. For very large pulls, use the host CLI directly: `ollama pull <model>`
### Management tools not showing up
Ensure `OLLAMA_ADMIN_TOOLS=true` is set in `.env` and the service was restarted after adding it.
@@ -1,22 +0,0 @@
/**
* Host-side env forwarding for the Ollama MCP tool. Returns the Docker `-e`
* arguments that pass any `OLLAMA_*` host overrides into the container.
*
* Ollama is local and keyless — these are configuration, not credentials:
* `OLLAMA_HOST` is the base URL of the host's Ollama daemon, and
* `OLLAMA_ADMIN_TOOLS` is the opt-in flag for the library-management tools.
*
* Lives in its own file so the reach-in in `container-runner.ts` is a single
* call (`args.push(...ollamaEnvArgs())`) and this logic is behavior-testable in
* isolation, without invoking the OneCLI-entangled `buildContainerArgs`.
*/
export function ollamaEnvArgs(): string[] {
const args: string[] = [];
if (process.env.OLLAMA_HOST) {
args.push('-e', `OLLAMA_HOST=${process.env.OLLAMA_HOST}`);
}
if (process.env.OLLAMA_ADMIN_TOOLS) {
args.push('-e', `OLLAMA_ADMIN_TOOLS=${process.env.OLLAMA_ADMIN_TOOLS}`);
}
return args;
}
@@ -1,482 +0,0 @@
/**
* Ollama MCP Server for NanoClaw
* Exposes local Ollama models (native Ollama REST API, /api/*) as tools for the
* container agent. Uses host.docker.internal to reach the host's Ollama daemon
* from inside the container.
*
* Ollama runs locally and is keyless — there are no credentials to thread. The
* only configuration is the base URL (OLLAMA_HOST) and an opt-in flag for the
* library-management tools (OLLAMA_ADMIN_TOOLS).
*/
import { McpServer } from '@modelcontextprotocol/sdk/server/mcp.js';
import { StdioServerTransport } from '@modelcontextprotocol/sdk/server/stdio.js';
import { z } from 'zod';
import fs from 'fs';
import path from 'path';
const OLLAMA_HOST =
process.env.OLLAMA_HOST || 'http://host.docker.internal:11434';
const OLLAMA_ADMIN_TOOLS = process.env.OLLAMA_ADMIN_TOOLS === 'true';
const OLLAMA_STATUS_FILE = '/workspace/ipc/ollama_status.json';
function log(msg: string): void {
console.error(`[OLLAMA] ${msg}`);
}
function writeStatus(status: string, detail?: string): void {
try {
const data = { status, detail, timestamp: new Date().toISOString() };
const tmpPath = `${OLLAMA_STATUS_FILE}.tmp`;
fs.mkdirSync(path.dirname(OLLAMA_STATUS_FILE), { recursive: true });
fs.writeFileSync(tmpPath, JSON.stringify(data));
fs.renameSync(tmpPath, OLLAMA_STATUS_FILE);
} catch {
/* best-effort */
}
}
async function ollamaFetch(
apiPath: string,
options?: RequestInit,
): Promise<Response> {
const url = `${OLLAMA_HOST}${apiPath}`;
try {
return await fetch(url, options);
} catch (err) {
// Fallback to localhost if host.docker.internal fails
if (OLLAMA_HOST.includes('host.docker.internal')) {
const fallbackUrl = url.replace('host.docker.internal', 'localhost');
return await fetch(fallbackUrl, options);
}
throw err;
}
}
function formatBytes(bytes?: number): string {
if (bytes === undefined || bytes === null) return '?';
const gb = bytes / 1024 / 1024 / 1024;
if (gb >= 1) return `${gb.toFixed(1)}GB`;
const mb = bytes / 1024 / 1024;
return `${mb.toFixed(0)}MB`;
}
const server = new McpServer({
name: 'ollama',
version: '1.0.0',
});
server.tool(
'ollama_list_models',
'List all models installed in the local Ollama daemon. Use this to see which models are available before calling ollama_generate.',
{},
async () => {
log('Listing models...');
writeStatus('listing', 'Listing installed models');
try {
const res = await ollamaFetch('/api/tags');
if (!res.ok) {
return {
content: [
{
type: 'text' as const,
text: `Ollama API error: ${res.status} ${res.statusText}`,
},
],
isError: true,
};
}
const data = (await res.json()) as {
models?: Array<{
name: string;
size?: number;
details?: { family?: string; parameter_size?: string };
}>;
};
const models = data.models || [];
if (models.length === 0) {
return {
content: [
{
type: 'text' as const,
text: 'No models installed. Pull one on the host with `ollama pull <model>` (e.g. `ollama pull llama3.2`).',
},
],
};
}
const list = models
.map((m) => {
const family = m.details?.family ? ` ${m.details.family}` : '';
const params = m.details?.parameter_size
? ` ${m.details.parameter_size}`
: '';
return `- ${m.name} (${formatBytes(m.size)}${family}${params})`;
})
.join('\n');
log(`Found ${models.length} models`);
return {
content: [
{ type: 'text' as const, text: `Installed models:\n${list}` },
],
};
} catch (err) {
return {
content: [
{
type: 'text' as const,
text: `Failed to connect to Ollama at ${OLLAMA_HOST}: ${err instanceof Error ? err.message : String(err)}`,
},
],
isError: true,
};
}
},
);
server.tool(
'ollama_generate',
'Send a prompt to a local Ollama model and get a response. Good for cheaper/faster tasks like summarization, translation, or general queries. Use ollama_list_models first to see available models.',
{
model: z
.string()
.describe(
'The model name as returned by ollama_list_models (e.g. "llama3.2" or "gemma3:1b")',
),
prompt: z.string().describe('The prompt to send to the model'),
system: z
.string()
.optional()
.describe('Optional system prompt to set model behavior'),
temperature: z
.number()
.optional()
.describe('Sampling temperature (0.02.0). Defaults to model default.'),
},
async (args) => {
log(`>>> Generating with ${args.model} (${args.prompt.length} chars)...`);
writeStatus('generating', `Generating with ${args.model}`);
try {
const body: Record<string, unknown> = {
model: args.model,
prompt: args.prompt,
stream: false,
};
if (args.system) body.system = args.system;
if (args.temperature !== undefined) {
body.options = { temperature: args.temperature };
}
const startedAt = Date.now();
const res = await ollamaFetch('/api/generate', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify(body),
});
if (!res.ok) {
const errorText = await res.text();
return {
content: [
{
type: 'text' as const,
text: `Ollama error (${res.status}): ${errorText}`,
},
],
isError: true,
};
}
const data = (await res.json()) as {
response?: string;
eval_count?: number;
};
const response = data.response ?? '';
const elapsedSec = ((Date.now() - startedAt) / 1000).toFixed(1);
const evalCount = data.eval_count;
const meta = `\n\n[${args.model} | ${elapsedSec}s${
evalCount !== undefined ? ` | ${evalCount} tokens` : ''
}]`;
log(
`<<< Done: ${args.model} | ${elapsedSec}s | ${
evalCount ?? '?'
} tokens | ${response.length} chars`,
);
writeStatus(
'done',
`${args.model} | ${elapsedSec}s | ${evalCount ?? '?'} tokens`,
);
return { content: [{ type: 'text' as const, text: response + meta }] };
} catch (err) {
return {
content: [
{
type: 'text' as const,
text: `Failed to call Ollama: ${err instanceof Error ? err.message : String(err)}`,
},
],
isError: true,
};
}
},
);
// Library-management tools — opt-in via OLLAMA_ADMIN_TOOLS=true. These mutate
// the host's model library (pull/delete) or inspect it, so they are gated
// behind an explicit flag rather than exposed by default.
if (OLLAMA_ADMIN_TOOLS) {
server.tool(
'ollama_pull_model',
'Pull (download) a model from the Ollama registry into the local daemon. Blocks until the download completes — large models can take several minutes.',
{
model: z
.string()
.describe('The model name to pull (e.g. "llama3.2" or "qwen3-coder:30b")'),
},
async (args) => {
log(`Pulling model: ${args.model}`);
writeStatus('pulling', `Pulling ${args.model}`);
try {
const res = await ollamaFetch('/api/pull', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ model: args.model, stream: false }),
});
if (!res.ok) {
const errorText = await res.text();
return {
content: [
{
type: 'text' as const,
text: `Ollama pull error (${res.status}): ${errorText}`,
},
],
isError: true,
};
}
const data = (await res.json()) as { status?: string };
log(`Pulled: ${args.model} (${data.status ?? 'ok'})`);
return {
content: [
{
type: 'text' as const,
text: `Pulled ${args.model}: ${data.status ?? 'success'}`,
},
],
};
} catch (err) {
return {
content: [
{
type: 'text' as const,
text: `Failed to pull ${args.model}: ${err instanceof Error ? err.message : String(err)}`,
},
],
isError: true,
};
}
},
);
server.tool(
'ollama_delete_model',
'Delete a locally installed model from the Ollama daemon to free disk space.',
{
model: z.string().describe('The model name to delete (e.g. "gemma3:1b")'),
},
async (args) => {
log(`Deleting model: ${args.model}`);
writeStatus('deleting', `Deleting ${args.model}`);
try {
const res = await ollamaFetch('/api/delete', {
method: 'DELETE',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ model: args.model }),
});
if (!res.ok) {
const errorText = await res.text();
return {
content: [
{
type: 'text' as const,
text: `Ollama delete error (${res.status}): ${errorText}`,
},
],
isError: true,
};
}
log(`Deleted: ${args.model}`);
return {
content: [
{ type: 'text' as const, text: `Deleted ${args.model}.` },
],
};
} catch (err) {
return {
content: [
{
type: 'text' as const,
text: `Failed to delete ${args.model}: ${err instanceof Error ? err.message : String(err)}`,
},
],
isError: true,
};
}
},
);
server.tool(
'ollama_show_model',
'Show details for a locally installed model: modelfile, parameters, template, and architecture info.',
{
model: z
.string()
.describe('The model name to inspect (e.g. "llama3.2")'),
},
async (args) => {
log(`Showing model: ${args.model}`);
try {
const res = await ollamaFetch('/api/show', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ model: args.model }),
});
if (!res.ok) {
const errorText = await res.text();
return {
content: [
{
type: 'text' as const,
text: `Ollama show error (${res.status}): ${errorText}`,
},
],
isError: true,
};
}
const data = (await res.json()) as {
parameters?: string;
template?: string;
details?: {
family?: string;
parameter_size?: string;
quantization_level?: string;
};
};
const parts: string[] = [`Model: ${args.model}`];
if (data.details) {
const d = data.details;
parts.push(
`Family: ${d.family ?? '?'} | Params: ${d.parameter_size ?? '?'} | Quant: ${d.quantization_level ?? '?'}`,
);
}
if (data.parameters) parts.push(`Parameters:\n${data.parameters}`);
if (data.template) parts.push(`Template:\n${data.template}`);
return {
content: [{ type: 'text' as const, text: parts.join('\n\n') }],
};
} catch (err) {
return {
content: [
{
type: 'text' as const,
text: `Failed to show ${args.model}: ${err instanceof Error ? err.message : String(err)}`,
},
],
isError: true,
};
}
},
);
server.tool(
'ollama_list_running',
'List models currently loaded in memory, with memory usage and processor type (CPU/GPU). Use this to see what is warm and consuming resources.',
{},
async () => {
log('Listing running models...');
try {
const res = await ollamaFetch('/api/ps');
if (!res.ok) {
return {
content: [
{
type: 'text' as const,
text: `Ollama API error: ${res.status} ${res.statusText}`,
},
],
isError: true,
};
}
const data = (await res.json()) as {
models?: Array<{
name: string;
size?: number;
size_vram?: number;
}>;
};
const models = data.models || [];
if (models.length === 0) {
return {
content: [
{
type: 'text' as const,
text: 'No models currently loaded in memory.',
},
],
};
}
const list = models
.map((m) => {
const vram = m.size_vram ?? 0;
const total = m.size ?? 0;
const processor =
vram === 0
? 'CPU'
: vram >= total
? 'GPU'
: `${Math.round((vram / total) * 100)}% GPU`;
return `- ${m.name} (${formatBytes(total)}, ${processor})`;
})
.join('\n');
return {
content: [
{ type: 'text' as const, text: `Loaded models:\n${list}` },
],
};
} catch (err) {
return {
content: [
{
type: 'text' as const,
text: `Failed to connect to Ollama at ${OLLAMA_HOST}: ${err instanceof Error ? err.message : String(err)}`,
},
],
isError: true,
};
}
},
);
}
const transport = new StdioServerTransport();
await server.connect(transport);
@@ -1,66 +0,0 @@
/**
* Wiring test for the MCP-server registration integration point (container/Bun tree).
*
* The handlers are exercised against a live Ollama daemon at build time, but that does
* not prove the server is registered — delete the index.ts entry and the tool simply
* never appears, yet any handler check stays green. index.ts is the container boot entry
* and is not cheaply invocable, so we assert the registration structurally: the
* `mcpServers` object literal has an `ollama` property whose command runs
* `ollama-mcp-stdio.ts`.
*/
import fs from 'fs';
import path from 'path';
import { describe, it, expect } from 'bun:test';
import ts from 'typescript';
function sourceFile(): ts.SourceFile {
const p = path.join(import.meta.dir, 'index.ts');
return ts.createSourceFile(p, fs.readFileSync(p, 'utf8'), ts.ScriptTarget.Latest, true);
}
/** Find the object literal assigned to `const mcpServers = { ... }`. */
function mcpServersLiteral(sf: ts.SourceFile): ts.ObjectLiteralExpression | undefined {
let found: ts.ObjectLiteralExpression | undefined;
const visit = (node: ts.Node) => {
if (
ts.isVariableDeclaration(node) &&
ts.isIdentifier(node.name) &&
node.name.text === 'mcpServers' &&
node.initializer &&
ts.isObjectLiteralExpression(node.initializer)
) {
found = node.initializer;
}
if (!found) ts.forEachChild(node, visit);
};
visit(sf);
return found;
}
function property(obj: ts.ObjectLiteralExpression, name: string): ts.PropertyAssignment | undefined {
return obj.properties.find(
(p): p is ts.PropertyAssignment =>
ts.isPropertyAssignment(p) &&
((ts.isIdentifier(p.name) && p.name.text === name) ||
(ts.isStringLiteral(p.name) && p.name.text === name)),
);
}
describe('index.ts registers the ollama MCP server', () => {
const obj = mcpServersLiteral(sourceFile());
it('finds the mcpServers object literal', () => {
expect(obj).toBeDefined();
});
it('has an ollama entry', () => {
expect(obj && property(obj, 'ollama')).toBeDefined();
});
it('points ollama at ollama-mcp-stdio.ts', () => {
const entry = obj && property(obj, 'ollama');
const text = entry ? entry.getText() : '';
expect(text).toContain('ollama-mcp-stdio.ts');
});
});
@@ -1,69 +0,0 @@
/**
* Wiring test for the host-side env-forwarding integration point (host/vitest tree).
*
* The env helper is skill-owned and could be unit-tested directly, but that does not prove
* buildContainerArgs actually uses it — a direct unit test stays green even if the reach-in
* is deleted. buildContainerArgs is entangled with OneCLI and not cheaply invocable, so we
* assert the integration structurally: inside buildContainerArgs there is an
* `args.push(...ollamaEnvArgs())` call. Delete the reach-in and this goes red.
*/
import fs from 'fs';
import path from 'path';
import { describe, it, expect } from 'vitest';
import ts from 'typescript';
function sourceFile(): ts.SourceFile {
const p = path.resolve(process.cwd(), 'src/container-runner.ts');
return ts.createSourceFile(p, fs.readFileSync(p, 'utf8'), ts.ScriptTarget.Latest, true);
}
function findFunction(sf: ts.SourceFile, name: string): ts.FunctionDeclaration | undefined {
let found: ts.FunctionDeclaration | undefined;
const visit = (node: ts.Node) => {
if (ts.isFunctionDeclaration(node) && node.name?.text === name) found = node;
if (!found) ts.forEachChild(node, visit);
};
visit(sf);
return found;
}
/** Is this node `args.push(...ollamaEnvArgs())`? */
function isSpreadPushOfEnvArgs(node: ts.Node): boolean {
if (!ts.isCallExpression(node)) return false;
const callee = node.expression;
if (
!ts.isPropertyAccessExpression(callee) ||
callee.name.text !== 'push' ||
!ts.isIdentifier(callee.expression) ||
callee.expression.text !== 'args'
) {
return false;
}
return node.arguments.some(
(arg) =>
ts.isSpreadElement(arg) &&
ts.isCallExpression(arg.expression) &&
ts.isIdentifier(arg.expression.expression) &&
arg.expression.expression.text === 'ollamaEnvArgs',
);
}
describe('container-runner.ts wires in ollamaEnvArgs', () => {
const sf = sourceFile();
const fn = findFunction(sf, 'buildContainerArgs');
it('finds buildContainerArgs', () => {
expect(fn).toBeDefined();
});
it('calls args.push(...ollamaEnvArgs()) inside buildContainerArgs', () => {
let wired = false;
const visit = (node: ts.Node) => {
if (isSpreadPushOfEnvArgs(node)) wired = true;
if (!wired) ts.forEachChild(node, visit);
};
if (fn?.body) visit(fn.body);
expect(wired).toBe(true);
});
});
-105
View File
@@ -1,105 +0,0 @@
# Remove OpenCode provider
Idempotent — safe to run even if some steps were never applied. Reverses both the host (`src/providers/`) and container (`container/agent-runner/src/providers/`) trees, the agent-runner dependency, and the Dockerfile CLI install.
## 1. Delete the barrel import lines (both trees)
Delete (do not comment out) the `import './opencode.js';` line from each barrel:
- `src/providers/index.ts`
- `container/agent-runner/src/providers/index.ts`
This unregisters the provider from both `listProviderContainerConfigNames()` (host) and `listProviderNames()` (container).
## 2. Delete the copied files (both trees)
```bash
rm -f src/providers/opencode.ts \
src/providers/opencode-registration.test.ts \
src/opencode-dockerfile.test.ts \
container/agent-runner/src/providers/opencode.ts \
container/agent-runner/src/providers/mcp-to-opencode.ts \
container/agent-runner/src/providers/mcp-to-opencode.test.ts \
container/agent-runner/src/providers/opencode.factory.test.ts \
container/agent-runner/src/providers/opencode-registration.test.ts
```
## 3. Remove the agent-runner dependency
`@opencode-ai/sdk` is an importable package in the container tree (agent-runner is a Bun package, not a pnpm workspace — use `bun remove`):
```bash
cd container/agent-runner && bun remove @opencode-ai/sdk && cd -
```
## 4. Revert the Dockerfile CLI install
In `container/Dockerfile`, remove both OpenCode edits (skip whichever is already gone):
**(a)** Delete the version ARG from the "Pin CLI versions" block:
```dockerfile
ARG OPENCODE_VERSION=1.4.17
```
**(b)** Delete the standalone OpenCode install layer:
```dockerfile
RUN --mount=type=cache,target=/root/.cache/pnpm \
pnpm install -g "opencode-ai@${OPENCODE_VERSION}"
```
Leave the other per-CLI install layers (claude-code, agent-browser, vercel) untouched.
## 5. Clean up per-group overlays
Any group that had the OpenCode files copied into its live source overlay still carries them — remove the OpenCode-specific files from each overlay (the barrel `index.ts` is re-synced from the cleaned tree, not deleted):
```bash
for overlay in data/v2-sessions/*/agent-runner-src/providers/; do
[ -d "$overlay" ] || continue
rm -f "$overlay/opencode.ts" "$overlay/mcp-to-opencode.ts"
[ -f container/agent-runner/src/providers/index.ts ] && \
cp container/agent-runner/src/providers/index.ts "$overlay"
echo "Cleaned: $overlay"
done
```
## 6. Unset OpenCode env vars
Remove any OpenCode-specific lines you added to `.env` (`OPENCODE_PROVIDER`, `OPENCODE_MODEL`, `OPENCODE_SMALL_MODEL`, and `ANTHROPIC_BASE_URL` if no other integration uses it) if no other integration needs them, then re-sync to the container:
```bash
mkdir -p data/env && cp .env data/env/env
```
Switch any group still on OpenCode back to the default provider — set `"provider": "claude"` in `groups/<folder>/container.json` and clear `agent_provider` on the group/session in the DB.
## 7. Rebuild and restart
Run from your NanoClaw project root:
```bash
pnpm run build && ./container/build.sh
source setup/lib/install-slug.sh
# macOS
launchctl kickstart -k gui/$(id -u)/$(launchd_label)
# Linux
systemctl --user restart $(systemd_unit)
```
> If the rebuild still reports OpenCode after these steps, the buildkit COPY cache may be stale. Prune the builder and rebuild: `docker builder prune -f && ./container/build.sh`.
## Verification
After removal, the registration guards no longer apply (their files are gone). Confirm the provider is fully unwired:
```bash
grep -R "opencode.js" src/providers/index.ts container/agent-runner/src/providers/index.ts # no output
grep "@opencode-ai/sdk" container/agent-runner/package.json # no output
grep "opencode-ai" container/Dockerfile # no output
```
In a wired agent, requesting `agent_provider = 'opencode'` should fall back to the default provider since `opencode` is no longer in the registry.
+49 -117
View File
@@ -17,13 +17,10 @@ If all of the following are already present, skip to **Configuration**:
- `src/providers/opencode.ts`
- `container/agent-runner/src/providers/opencode.ts`
- `src/providers/opencode-registration.test.ts`
- `container/agent-runner/src/providers/opencode-registration.test.ts`
- `import './opencode.js';` line in `src/providers/index.ts`
- `import './opencode.js';` line in `container/agent-runner/src/providers/index.ts`
- `@opencode-ai/sdk` in `container/agent-runner/package.json`
- `ARG OPENCODE_VERSION` and `"opencode-ai@${OPENCODE_VERSION}"` in `container/Dockerfile`
- `src/opencode-dockerfile.test.ts` (the Dockerfile install guard)
- `opencode-ai@${OPENCODE_VERSION}` in the pnpm global-install block in `container/Dockerfile`
Missing pieces — continue below. All steps are idempotent; re-running is safe.
@@ -38,20 +35,13 @@ git fetch origin providers
Wholesale copies (owned entirely by this skill — user edits to these files won't survive a re-run, as designed):
```bash
git show origin/providers:src/providers/opencode.ts > src/providers/opencode.ts
git show origin/providers:container/agent-runner/src/providers/opencode.ts > container/agent-runner/src/providers/opencode.ts
git show origin/providers:container/agent-runner/src/providers/mcp-to-opencode.ts > container/agent-runner/src/providers/mcp-to-opencode.ts
git show origin/providers:container/agent-runner/src/providers/mcp-to-opencode.test.ts > container/agent-runner/src/providers/mcp-to-opencode.test.ts
git show origin/providers:src/providers/opencode.ts > src/providers/opencode.ts
git show origin/providers:container/agent-runner/src/providers/opencode.ts > container/agent-runner/src/providers/opencode.ts
git show origin/providers:container/agent-runner/src/providers/mcp-to-opencode.ts > container/agent-runner/src/providers/mcp-to-opencode.ts
git show origin/providers:container/agent-runner/src/providers/mcp-to-opencode.test.ts > container/agent-runner/src/providers/mcp-to-opencode.test.ts
git show origin/providers:container/agent-runner/src/providers/opencode.factory.test.ts > container/agent-runner/src/providers/opencode.factory.test.ts
```
Also copy the two barrel-registration guards — one per tree. These import the real provider barrels and assert `opencode` is registered, so they go red the moment a barrel import line is deleted or drifts:
```bash
git show origin/providers:src/providers/opencode-registration.test.ts > src/providers/opencode-registration.test.ts
git show origin/providers:container/agent-runner/src/providers/opencode-registration.test.ts > container/agent-runner/src/providers/opencode-registration.test.ts
```
### 3. Append the self-registration imports
Each barrel gets one line appended at the end — skip if the line is already present.
@@ -70,76 +60,38 @@ import './opencode.js';
### 4. Add the agent-runner dependency
Pinned. Bump deliberately, not with `bun update`. Use `1.4.17` — must match the `opencode-ai` CLI version pinned in step 5. The 1.14.x SDK has a completely different API and is **incompatible** with the current provider code.
Pinned. Bump deliberately, not with `bun update`.
```bash
cd container/agent-runner && bun add @opencode-ai/sdk@1.4.17 && cd -
cd container/agent-runner && bun add @opencode-ai/sdk@1.4.3 && cd -
```
### 5. Add `opencode-ai` to the container Dockerfile
Two edits to `container/Dockerfile`, both idempotent (skip if already present):
**(a)** In the "Pin CLI versions" ARG block (around line 22), add after `ARG VERCEL_VERSION=...`:
**(a)** In the "Pin CLI versions" ARG block (around line 18), add after `ARG VERCEL_VERSION=latest`:
```dockerfile
ARG OPENCODE_VERSION=1.4.17
ARG OPENCODE_VERSION=latest
```
> **Do not use `latest`** — the CLI and SDK must be the same version. `latest` silently upgrades the CLI to 1.14.x which has a breaking session API change (UUID session IDs → `ses_` prefix) incompatible with SDK 1.4.x.
**(b)** Add a new standalone `RUN` block for the OpenCode CLI, after the existing per-CLI install blocks (around line 111, right after the `@anthropic-ai/claude-code` block). The Dockerfile splits each global CLI into its own layer for cache granularity — keep that pattern; do not collapse them into a single combined `pnpm install -g` call:
**(b)** In the `pnpm install -g` block (around line 80), append `"opencode-ai@${OPENCODE_VERSION}"` to the list:
```dockerfile
RUN --mount=type=cache,target=/root/.cache/pnpm \
pnpm install -g "opencode-ai@${OPENCODE_VERSION}"
pnpm install -g \
"@anthropic-ai/claude-code@${CLAUDE_CODE_VERSION}" \
"agent-browser@${AGENT_BROWSER_VERSION}" \
"vercel@${VERCEL_VERSION}" \
"opencode-ai@${OPENCODE_VERSION}"
```
### 6. Copy the Dockerfile install guard
The `opencode-ai` CLI is a globally-installed binary — not importable or typed — so a structural test guards the Dockerfile install. Copy it into the host test tree:
### 6. Build
```bash
cp .claude/skills/add-opencode/opencode-dockerfile.test.ts src/opencode-dockerfile.test.ts
```
### 7. Build and validate
```bash
pnpm run build # host
pnpm exec tsc -p container/agent-runner/tsconfig.json --noEmit # container typecheck
pnpm exec vitest run src/providers/opencode-registration.test.ts # host registration guard
pnpm exec vitest run src/opencode-dockerfile.test.ts # Dockerfile install guard
cd container/agent-runner && bun test src/providers/opencode-registration.test.ts && cd - # container registration guard
./container/build.sh # agent image
```
All four must be clean before proceeding. Each guards a distinct integration point:
- **`src/providers/opencode-registration.test.ts`** (host, vitest) imports the real host barrel (`./index.js``listProviderContainerConfigNames`) and asserts `opencode` is present. It goes red if the `import './opencode.js';` line in `src/providers/index.ts` is deleted or drifts, or if that barrel fails to evaluate.
- **`container/agent-runner/src/providers/opencode-registration.test.ts`** (container, bun:test) imports the real container barrel (`./index.js``listProviderNames`) and asserts `opencode` is present. It goes red if the `import './opencode.js';` line in `container/agent-runner/src/providers/index.ts` is deleted or drifts. Because the barrel is imported unmocked, it also pulls in `opencode.ts`, which imports **`@opencode-ai/sdk`** — so this test implicitly guards the step-4 dependency too: if the package isn't installed, the import throws and the test goes red.
- **`src/opencode-dockerfile.test.ts`** parses `container/Dockerfile` and asserts both the `ARG OPENCODE_VERSION=...` (rejecting `latest`) and the `pnpm install -g "opencode-ai@${OPENCODE_VERSION}"` line are present. The `opencode-ai` CLI binary is not importable, so it is guarded by this structural test plus the container build — not the registration test.
- **`pnpm run build`** type-checks the host provider's consumption of the host-side container-config registry; the container typecheck does the same for the container provider against the agent-runner core APIs.
The pre-existing `opencode.factory.test.ts` imports `opencode.ts` directly and self-registers, so it stays green even if a barrel import is removed — it is a unit test of `createProvider('opencode')`, not the registration guard. Keep it; it adds factory coverage but does not stand in for the registration tests above.
> **Build cache gotcha:** The container buildkit caches COPY steps aggressively. If provider files were already present in the build context before, the new files may not be picked up. If you see "Unknown provider: opencode" after the build, prune the builder and rebuild:
> ```bash
> docker builder prune -f && ./container/build.sh
> ```
### 8. Propagate to existing per-group overlays
Each agent group has a live source overlay at `data/v2-sessions/<group-id>/agent-runner-src/providers/` that **overrides the image at runtime**. This overlay is created when the group is first wired and never auto-updated by image rebuilds. Any group that already existed before this skill ran needs the new files copied in manually.
```bash
for overlay in data/v2-sessions/*/agent-runner-src/providers/; do
[ -d "$overlay" ] || continue
cp container/agent-runner/src/providers/opencode.ts "$overlay"
cp container/agent-runner/src/providers/mcp-to-opencode.ts "$overlay"
cp container/agent-runner/src/providers/index.ts "$overlay"
echo "Updated: $overlay"
done
pnpm run build # host
pnpm exec tsc -p container/agent-runner/tsconfig.json --noEmit # container typecheck
./container/build.sh # agent image
```
## Configuration
@@ -150,65 +102,35 @@ Set model/provider strings in the form OpenCode expects (often `provider/model-i
These variables are read **on the host** and passed into the container only when the effective provider is `opencode`. They do not switch the provider by themselves; the DB still needs `agent_provider` set (below).
- `OPENCODE_PROVIDER` — OpenCode provider id, e.g. `openrouter`, `anthropic`, `deepseek`.
- `OPENCODE_MODEL` — full model id in `provider/model` form, e.g. `deepseek/deepseek-chat`.
- `OPENCODE_SMALL_MODEL` — optional second model for lighter tasks; defaults to `OPENCODE_MODEL` if unset.
- `ANTHROPIC_BASE_URL`**required for non-`anthropic` providers.** The opencode container provider passes this as the `baseURL` for the upstream provider config so requests route through OneCLI's credential proxy or directly to the provider's API. Set it to the provider's API base URL (e.g. `https://api.deepseek.com/v1`, `https://openrouter.ai/api/v1`).
- `OPENCODE_PROVIDER` — OpenCode provider id, e.g. `openrouter`, `anthropic` (if unset, the runner defaults to `anthropic`).
- `OPENCODE_MODEL` — full model id, e.g. `openrouter/anthropic/claude-sonnet-4`.
- `OPENCODE_SMALL_MODEL` — optional second model for "small" tasks.
Credentials: register provider API keys in OneCLI with the matching `--host-pattern` (e.g. `api.deepseek.com`, `openrouter.ai`). OneCLI injects them via `HTTPS_PROXY` in the container — the key never lives in `.env` or the container environment.
After adding a secret, **grant the agent access** — agents in `selective` mode only receive secrets they've been explicitly assigned:
Use the safe merge pattern — `set-secrets` replaces the entire list, so always read first:
```bash
AGENT_ID=$(onecli agents list | jq -r '.data[] | select(.identifier=="<agentGroupId>") | .id')
CURRENT=$(onecli agents secrets --id "$AGENT_ID" | jq -r '[.data[]] | join(",")')
MERGED=$(printf '%s' "$CURRENT,<new-secret-id>" | tr ',' '\n' | sort -u | paste -sd ',' -)
onecli agents set-secrets --id "$AGENT_ID" --secret-ids "$MERGED"
onecli agents secrets --id "$AGENT_ID"
```
#### Example: DeepSeek
```env
OPENCODE_PROVIDER=deepseek
OPENCODE_MODEL=deepseek/deepseek-chat
OPENCODE_SMALL_MODEL=deepseek/deepseek-chat
ANTHROPIC_BASE_URL=https://api.deepseek.com/v1
```
Register the key:
```bash
onecli secrets create --name "DeepSeek" --type generic \
--value YOUR_KEY --host-pattern "api.deepseek.com" \
--header-name "Authorization" --value-format "Bearer {value}"
```
Credentials: OneCLI / credential proxy patterns are unchanged. For non-`anthropic` OpenCode providers, the runner registers a placeholder API key and **`ANTHROPIC_BASE_URL`** (the credential proxy) as `baseURL` so the real key never lives in the container.
#### Example: OpenRouter
```env
# OpenCode — host passes these into the container when agent_provider is opencode
OPENCODE_PROVIDER=openrouter
OPENCODE_MODEL=openrouter/anthropic/claude-sonnet-4
OPENCODE_SMALL_MODEL=openrouter/anthropic/claude-haiku-4.5
ANTHROPIC_BASE_URL=https://openrouter.ai/api/v1
```
Register the key:
```bash
onecli secrets create --name "OpenRouter" --type generic \
--value YOUR_KEY --host-pattern "openrouter.ai" \
--header-name "Authorization" --value-format "Bearer {value}"
```
#### Example: Anthropic via existing proxy env
#### Example: Anthropic (no ANTHROPIC_BASE_URL needed)
When `OPENCODE_PROVIDER` is `anthropic`, OpenCode uses normal Anthropic env inside the container — the proxy + placeholder key pattern is unchanged and `ANTHROPIC_BASE_URL` is not required.
When `OPENCODE_PROVIDER` is `anthropic`, OpenCode uses normal Anthropic env inside the container (proxy + placeholder key pattern unchanged).
```env
OPENCODE_PROVIDER=anthropic
OPENCODE_MODEL=anthropic/claude-sonnet-4-20250514
OPENCODE_SMALL_MODEL=anthropic/claude-haiku-4-5-20251001
```
#### Example: only a main model
```env
OPENCODE_PROVIDER=openrouter
OPENCODE_MODEL=openrouter/google/gemini-2.5-pro-preview
```
#### OpenCode Zen (`x-api-key`, not Bearer)
@@ -220,9 +142,13 @@ Zen's HTTP API (e.g. `POST …/zen/v1/messages`) expects the key in the **`x-api
**Host `.env` (typical Zen shape):**
```env
# NanoClaw still resolves AGENT_PROVIDER from agent_groups / sessions; set agent_provider to opencode there.
# OpenCode SDK: Zen as the upstream provider + models under opencode/…
OPENCODE_PROVIDER=opencode
OPENCODE_MODEL=opencode/big-pickle
OPENCODE_SMALL_MODEL=opencode/big-pickle
# Point the credential proxy at Zen's Anthropic-compatible base URL (host + OneCLI must forward this host).
ANTHROPIC_BASE_URL=https://opencode.ai/zen/v1
```
@@ -236,20 +162,26 @@ onecli secrets create --name "OpenCode Zen" --type generic \
--header-name "x-api-key" --value-format "{value}"
```
For comparison, OpenRouter uses `Authorization` + `Bearer {value}`. Zen is different by design.
### Per group / per session
Set `"provider": "opencode"` in the group's **`container.json`** (`groups/<folder>/container.json`) — the in-container runner reads `provider` from there, not from the DB. The DB columns **`agent_groups.agent_provider`** and **`sessions.agent_provider`** (session overrides group) only drive host-side provider contribution — per-session XDG mount, `OPENCODE_*` env passthrough — and do not propagate into `container.json` at spawn time. Set both, or just edit `container.json`; if they disagree, the runner uses `container.json` and the host-side resolver falls back through session → group → `container.json``'claude'`.
Schema: **`agent_groups.agent_provider`** and **`sessions.agent_provider`**. Set to `opencode` for groups or sessions that should use OpenCode. The container receives `AGENT_PROVIDER` from the resolved value (session overrides group).
Extra MCP servers still come from **`NANOCLAW_MCP_SERVERS`** / `container_config.mcpServers` on the host; the runner merges them into the same `mcpServers` object passed to **both** Claude and OpenCode providers.
## Operational notes
- OpenCode keeps a local **`opencode serve`** process and SSE subscription; the provider tears down with **`stream.return`** and **SIGKILL** on the server process on **`abort()`** / shared runtime reset to avoid MCP/zombie hangs.
- Session continuation uses UUID format (SDK 1.4.x / CLI 1.4.x). Stale sessions are cleared by `isSessionInvalid` on OpenCode-specific error patterns. If you see UUID-related errors after an accidental CLI upgrade, clear `session_state` in `outbound.db` and wipe the `opencode-xdg` directory under the session folder.
- Session continuation is opaque (`ses_*` ids); stale sessions are cleared using **`isSessionInvalid`** on OpenCode-specific errors (timeouts, connection resets, not-found patterns) in addition to the poll-loop's existing recovery.
- **`NO_PROXY`** for localhost matters when the OpenCode client talks to `127.0.0.1` inside the container while HTTP(S)_PROXY is set (e.g. OneCLI).
## Next Steps
## Verify
The registration and Dockerfile guards in step 7 verify the wiring. To confirm an end-to-end round-trip, set `agent_provider = 'opencode'` (or `"provider": "opencode"` in the group's `container.json`) on a test group, register the matching provider key in OneCLI, and send a message. A clean exchange returns the model's reply with no `Unknown provider: opencode` error and no UUID/session warnings in the logs.
To remove this provider, see [REMOVE.md](REMOVE.md).
```bash
grep -q "./opencode.js" container/agent-runner/src/providers/index.ts && echo "container barrel: OK"
grep -q "./opencode.js" src/providers/index.ts && echo "host barrel: OK"
grep -q "@opencode-ai/sdk" container/agent-runner/package.json && echo "agent-runner dep: OK"
grep -q "opencode-ai@" container/Dockerfile && echo "Dockerfile install: OK"
cd container/agent-runner && bun test src/providers/ && cd -
```
@@ -1,47 +0,0 @@
/**
* Dependency guard for the OpenCode CLI integration point (host tree, vitest).
*
* add-opencode installs the `opencode-ai` CLI globally in the agent container
* image via `container/Dockerfile`. A globally-installed CLI binary is not
* importable or typed, so neither `tsc` nor a runtime import can catch its
* removal — only the container image build would, and the skill's validate step
* does not rebuild the image in CI. This structural test stands in for that
* build leg: it parses the Dockerfile and asserts both halves of the install are
* present — the pinned `ARG OPENCODE_VERSION=...` and the
* `pnpm install -g "opencode-ai@${OPENCODE_VERSION}"` line. Drop or drift either
* and this goes red.
*
* Pinning matters here beyond reproducibility: the `opencode-ai` CLI version
* must match the `@opencode-ai/sdk` version the container provider imports. An
* unpinned `latest` would silently upgrade the CLI past the SDK's compatible
* range and break sessions. The test therefore also rejects `@latest`.
*/
import fs from 'fs';
import path from 'path';
import { describe, it, expect } from 'vitest';
function dockerfile(): string {
// Walk up from this test file to the repo root (the dir holding container/Dockerfile),
// so the test works wherever it is copied (src/ on the host, or the skill folder).
let dir = __dirname;
for (let i = 0; i < 8; i++) {
const candidate = path.join(dir, 'container', 'Dockerfile');
if (fs.existsSync(candidate)) return fs.readFileSync(candidate, 'utf8');
dir = path.dirname(dir);
}
throw new Error('container/Dockerfile not found walking up from ' + __dirname);
}
describe('container/Dockerfile installs the OpenCode CLI', () => {
const text = dockerfile();
it('declares a pinned OPENCODE_VERSION build arg (not latest)', () => {
expect(text).toMatch(/^ARG\s+OPENCODE_VERSION=\S+/m);
expect(text).not.toMatch(/^ARG\s+OPENCODE_VERSION=latest\s*$/m);
});
it('globally installs the pinned opencode-ai package via pnpm', () => {
expect(text).toMatch(/pnpm install -g\s+"?opencode-ai@\$\{OPENCODE_VERSION\}"?/);
});
});
+290
View File
@@ -0,0 +1,290 @@
# Add Parallel AI Integration
Adds Parallel AI MCP integration to NanoClaw for advanced web research capabilities.
## What This Adds
- **Quick Search** - Fast web lookups using Parallel Search API (free to use)
- **Deep Research** - Comprehensive analysis using Parallel Task API (asks permission)
- **Non-blocking Design** - Uses NanoClaw scheduler for result polling (no container blocking)
## Prerequisites
User must have:
1. Parallel AI API key from https://platform.parallel.ai
2. NanoClaw already set up and running
3. Docker installed and running
## Implementation Steps
Run all steps automatically. Only pause for user input when explicitly needed.
### 1. Get Parallel AI API Key
Use `AskUserQuestion: Do you have a Parallel AI API key, or should I help you get one?`
**If they have one:**
Collect it now.
**If they need one:**
Tell them:
> 1. Go to https://platform.parallel.ai
> 2. Sign up or log in
> 3. Navigate to API Keys section
> 4. Create a new API key
> 5. Copy the key and paste it here
Wait for the API key.
### 2. Add API Key to Environment
Add `PARALLEL_API_KEY` to `.env`:
```bash
# Check if .env exists, create if not
if [ ! -f .env ]; then
touch .env
fi
# Add PARALLEL_API_KEY if not already present
if ! grep -q "PARALLEL_API_KEY=" .env; then
echo "PARALLEL_API_KEY=${API_KEY_FROM_USER}" >> .env
echo "✓ Added PARALLEL_API_KEY to .env"
else
# Update existing key
sed -i.bak "s/^PARALLEL_API_KEY=.*/PARALLEL_API_KEY=${API_KEY_FROM_USER}/" .env
echo "✓ Updated PARALLEL_API_KEY in .env"
fi
```
Verify:
```bash
grep "PARALLEL_API_KEY" .env | head -c 50
```
### 3. Update Container Runner
Add `PARALLEL_API_KEY` to allowed environment variables in `src/container-runner.ts`:
Find the line:
```typescript
const allowedVars = ['CLAUDE_CODE_OAUTH_TOKEN', 'ANTHROPIC_API_KEY'];
```
Replace with:
```typescript
const allowedVars = ['CLAUDE_CODE_OAUTH_TOKEN', 'ANTHROPIC_API_KEY', 'PARALLEL_API_KEY'];
```
### 4. Configure MCP Servers in Agent Runner
Update `container/agent-runner/src/index.ts`:
Find the section where `mcpServers` is configured (around line 237-252):
```typescript
const mcpServers: Record<string, any> = {
nanoclaw: ipcMcp
};
```
Add Parallel AI MCP servers after the nanoclaw server:
```typescript
const mcpServers: Record<string, any> = {
nanoclaw: ipcMcp
};
// Add Parallel AI MCP servers if API key is available
const parallelApiKey = process.env.PARALLEL_API_KEY;
if (parallelApiKey) {
mcpServers['parallel-search'] = {
type: 'http', // REQUIRED: Must specify type for HTTP MCP servers
url: 'https://search-mcp.parallel.ai/mcp',
headers: {
'Authorization': `Bearer ${parallelApiKey}`
}
};
mcpServers['parallel-task'] = {
type: 'http', // REQUIRED: Must specify type for HTTP MCP servers
url: 'https://task-mcp.parallel.ai/mcp',
headers: {
'Authorization': `Bearer ${parallelApiKey}`
}
};
log('Parallel AI MCP servers configured');
} else {
log('PARALLEL_API_KEY not set, skipping Parallel AI integration');
}
```
Also update the `allowedTools` array to include Parallel MCP tools (around line 242-248):
```typescript
allowedTools: [
'Bash',
'Read', 'Write', 'Edit', 'Glob', 'Grep',
'WebSearch', 'WebFetch',
'mcp__nanoclaw__*',
'mcp__parallel-search__*',
'mcp__parallel-task__*'
],
```
### 5. Add Usage Instructions to CLAUDE.md
Add Parallel AI usage instructions to `groups/main/CLAUDE.md`:
Find the "## What You Can Do" section and add after the existing bullet points:
```markdown
- Use Parallel AI for web research and deep learning tasks
```
Then add a new section after "## What You Can Do":
```markdown
## Web Research Tools
You have access to two Parallel AI research tools:
### Quick Web Search (`mcp__parallel-search__search`)
**When to use:** Freely use for factual lookups, current events, definitions, recent information, or verifying facts.
**Examples:**
- "Who invented the transistor?"
- "What's the latest news about quantum computing?"
- "When was the UN founded?"
- "What are the top programming languages in 2026?"
**Speed:** Fast (2-5 seconds)
**Cost:** Low
**Permission:** Not needed - use whenever it helps answer the question
### Deep Research (`mcp__parallel-task__create_task_run`)
**When to use:** Comprehensive analysis, learning about complex topics, comparing concepts, historical overviews, or structured research.
**Examples:**
- "Explain the development of quantum mechanics from 1900-1930"
- "Compare the literary styles of Hemingway and Faulkner"
- "Research the evolution of jazz from bebop to fusion"
- "Analyze the causes of the French Revolution"
**Speed:** Slower (1-20 minutes depending on depth)
**Cost:** Higher (varies by processor tier)
**Permission:** ALWAYS use `AskUserQuestion` before using this tool
**How to ask permission:**
```
AskUserQuestion: I can do deep research on [topic] using Parallel's Task API. This will take 2-5 minutes and provide comprehensive analysis with citations. Should I proceed?
```
**After permission - DO NOT BLOCK! Use scheduler instead:**
1. Create the task using `mcp__parallel-task__create_task_run`
2. Get the `run_id` from the response
3. Create a polling scheduled task using `mcp__nanoclaw__schedule_task`:
```
Prompt: "Check Parallel AI task run [run_id] and send results when ready.
1. Use the Parallel Task MCP to check the task status
2. If status is 'completed', extract the results
3. Send results to user with mcp__nanoclaw__send_message
4. Use mcp__nanoclaw__complete_scheduled_task to mark this task as done
If status is still 'running' or 'pending', do nothing (task will run again in 30s).
If status is 'failed', send error message and complete the task."
Schedule: interval every 30 seconds
Context mode: isolated
```
4. Send acknowledgment with tracking link
5. Exit immediately - scheduler handles the rest
### Choosing Between Them
**Use Search when:**
- Question needs a quick fact or recent information
- Simple definition or clarification
- Verifying specific details
- Current events or news
**Use Deep Research (with permission) when:**
- User wants to learn about a complex topic
- Question requires analysis or comparison
- Historical context or evolution of concepts
- Structured, comprehensive understanding needed
- User explicitly asks to "research" or "explain in depth"
**Default behavior:** Prefer search for most questions. Only suggest deep research when the topic genuinely requires comprehensive analysis.
```
### 6. Rebuild Container
Build the container with updated agent runner:
```bash
./container/build.sh
```
Verify the build:
```bash
echo '{}' | docker run -i --entrypoint /bin/echo nanoclaw-agent:latest "Container OK"
```
### 7. Restart Service
Rebuild the main app and restart:
```bash
pnpm run build
launchctl kickstart -k gui/$(id -u)/com.nanoclaw # macOS
# Linux: systemctl --user restart nanoclaw
```
Wait 3 seconds for service to start, then verify:
```bash
sleep 3
launchctl list | grep nanoclaw # macOS
# Linux: systemctl --user status nanoclaw
```
### 8. Test Integration
Tell the user to test:
> Send a message to your assistant: `@[YourAssistantName] what's the latest news about AI?`
>
> The assistant should use Parallel Search API to find current information.
>
> Then try: `@[YourAssistantName] can you research the history of artificial intelligence?`
>
> The assistant should ask for permission before using the Task API.
Check logs to verify MCP servers loaded:
```bash
tail -20 logs/nanoclaw.log
```
Look for: `Parallel AI MCP servers configured`
## Troubleshooting
**Container hangs or times out:**
- Check that `type: 'http'` is specified in MCP server config
- Verify API key is correct in .env
- Check container logs: `cat groups/main/logs/container-*.log | tail -50`
**MCP servers not loading:**
- Ensure PARALLEL_API_KEY is in .env
- Verify container-runner.ts includes PARALLEL_API_KEY in allowedVars
- Check agent-runner logs for "Parallel AI MCP servers configured" message
**Task polling not working:**
- Verify scheduled task was created: `sqlite3 store/messages.db "SELECT * FROM scheduled_tasks"`
- Check task runs: `tail -f logs/nanoclaw.log | grep "scheduled task"`
- Ensure task prompt includes proper Parallel MCP tool names
## Uninstalling
To remove Parallel AI integration:
1. Remove from .env: `sed -i.bak '/PARALLEL_API_KEY/d' .env`
2. Revert changes to container-runner.ts and agent-runner/src/index.ts
3. Remove Web Research Tools section from groups/main/CLAUDE.md
4. Rebuild: `./container/build.sh && pnpm run build`
5. Restart: `launchctl kickstart -k gui/$(id -u)/com.nanoclaw` (macOS) or `systemctl --user restart nanoclaw` (Linux)
+104
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@@ -0,0 +1,104 @@
---
name: add-pdf-reader
description: Add PDF reading to NanoClaw agents. Extracts text from PDFs via pdftotext CLI. Handles WhatsApp attachments, URLs, and local files.
---
# Add PDF Reader
Adds PDF reading capability to all container agents using poppler-utils (pdftotext/pdfinfo). PDFs sent as WhatsApp attachments are auto-downloaded to the group workspace.
## Phase 1: Pre-flight
1. Check if `container/skills/pdf-reader/pdf-reader` exists — skip to Phase 3 if already applied
2. Confirm WhatsApp is installed first (`skill/whatsapp` merged). This skill modifies WhatsApp channel files.
## Phase 2: Apply Code Changes
### Ensure WhatsApp fork remote
```bash
git remote -v
```
If `whatsapp` is missing, add it:
```bash
git remote add whatsapp https://github.com/qwibitai/nanoclaw-whatsapp.git
```
### Merge the skill branch
```bash
git fetch whatsapp skill/pdf-reader
git merge whatsapp/skill/pdf-reader || {
git checkout --theirs pnpm-lock.yaml
git add pnpm-lock.yaml
git merge --continue
}
```
This merges in:
- `container/skills/pdf-reader/SKILL.md` (agent-facing documentation)
- `container/skills/pdf-reader/pdf-reader` (CLI script)
- `poppler-utils` in `container/Dockerfile`
- PDF attachment download in `src/channels/whatsapp.ts`
- PDF tests in `src/channels/whatsapp.test.ts`
If the merge reports conflicts, resolve them by reading the conflicted files and understanding the intent of both sides.
### Validate
```bash
pnpm run build
pnpm exec vitest run src/channels/whatsapp.test.ts
```
### Rebuild container
```bash
./container/build.sh
```
### Restart service
```bash
launchctl kickstart -k gui/$(id -u)/com.nanoclaw # macOS
# Linux: systemctl --user restart nanoclaw
```
## Phase 3: Verify
### Test PDF extraction
Send a PDF file in any registered WhatsApp chat. The agent should:
1. Download the PDF to `attachments/`
2. Respond acknowledging the PDF
3. Be able to extract text when asked
### Test URL fetching
Ask the agent to read a PDF from a URL. It should use `pdf-reader fetch <url>`.
### Check logs if needed
```bash
tail -f logs/nanoclaw.log | grep -i pdf
```
Look for:
- `Downloaded PDF attachment` — successful download
- `Failed to download PDF attachment` — media download issue
## Troubleshooting
### Agent says pdf-reader command not found
Container needs rebuilding. Run `./container/build.sh` and restart the service.
### PDF text extraction is empty
The PDF may be scanned (image-based). pdftotext only handles text-based PDFs. Consider using the agent-browser to open the PDF visually instead.
### WhatsApp PDF not detected
Verify the message has `documentMessage` with `mimetype: application/pdf`. Some file-sharing apps send PDFs as generic files without the correct mimetype.
+117
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@@ -0,0 +1,117 @@
---
name: add-reactions
description: Add WhatsApp emoji reaction support — receive, send, store, and search reactions.
---
# Add Reactions
This skill adds emoji reaction support to NanoClaw's WhatsApp channel: receive and store reactions, send reactions from the container agent via MCP tool, and query reaction history from SQLite.
## Phase 1: Pre-flight
### Check if already applied
Check if `src/status-tracker.ts` exists:
```bash
test -f src/status-tracker.ts && echo "Already applied" || echo "Not applied"
```
If already applied, skip to Phase 3 (Verify).
## Phase 2: Apply Code Changes
### Ensure WhatsApp fork remote
```bash
git remote -v
```
If `whatsapp` is missing, add it:
```bash
git remote add whatsapp https://github.com/qwibitai/nanoclaw-whatsapp.git
```
### Merge the skill branch
```bash
git fetch whatsapp skill/reactions
git merge whatsapp/skill/reactions || {
git checkout --theirs pnpm-lock.yaml
git add pnpm-lock.yaml
git merge --continue
}
```
This adds:
- `scripts/migrate-reactions.ts` (database migration for `reactions` table with composite PK and indexes)
- `src/status-tracker.ts` (forward-only emoji state machine for message lifecycle signaling, with persistence and retry)
- `src/status-tracker.test.ts` (unit tests for StatusTracker)
- `container/skills/reactions/SKILL.md` (agent-facing documentation for the `react_to_message` MCP tool)
- Reaction support in `src/db.ts`, `src/channels/whatsapp.ts`, `src/types.ts`, `src/ipc.ts`, `src/index.ts`, `src/group-queue.ts`, and `container/agent-runner/src/ipc-mcp-stdio.ts`
### Run database migration
```bash
pnpm exec tsx scripts/migrate-reactions.ts
```
### Validate code changes
```bash
pnpm test
pnpm run build
```
All tests must pass and build must be clean before proceeding.
## Phase 3: Verify
### Build and restart
```bash
pnpm run build
```
Linux:
```bash
systemctl --user restart nanoclaw
```
macOS:
```bash
launchctl kickstart -k gui/$(id -u)/com.nanoclaw
```
### Test receiving reactions
1. Send a message from your phone
2. React to it with an emoji on WhatsApp
3. Check the database:
```bash
sqlite3 store/messages.db "SELECT * FROM reactions ORDER BY timestamp DESC LIMIT 5;"
```
### Test sending reactions
Ask the agent to react to a message via the `react_to_message` MCP tool. Check your phone — the reaction should appear on the message.
## Troubleshooting
### Reactions not appearing in database
- Check NanoClaw logs for `Failed to process reaction` errors
- Verify the chat is registered
- Confirm the service is running
### Migration fails
- Ensure `store/messages.db` exists and is accessible
- If "table reactions already exists", the migration already ran — skip it
### Agent can't send reactions
- Check IPC logs for `Unauthorized IPC reaction attempt blocked` — the agent can only react in its own group's chat
- Verify WhatsApp is connected: check logs for connection status
+4 -38
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@@ -1,40 +1,6 @@
# Remove Resend Email Channel
Every step is idempotent — safe to re-run.
## 1. Remove the adapter
Delete the self-registration import from `src/channels/index.ts` (skip if already gone):
```typescript
import './resend.js';
```
Then delete the copied adapter and its registration test:
```bash
rm -f src/channels/resend.ts src/channels/resend-registration.test.ts
```
## 2. Remove credentials
Remove `RESEND_API_KEY`, `RESEND_FROM_ADDRESS`, `RESEND_FROM_NAME`, and `RESEND_WEBHOOK_SECRET` from `.env`, then re-sync to the container:
```bash
mkdir -p data/env && cp .env data/env/env
```
## 3. Remove the package
```bash
pnpm uninstall @resend/chat-sdk-adapter
```
## 4. Rebuild and restart
```bash
pnpm run build
source setup/lib/install-slug.sh
launchctl kickstart -k gui/$(id -u)/$(launchd_label) # macOS
# Linux: systemctl --user restart $(systemd_unit)
```
1. Comment out `import './resend.js'` in `src/channels/index.ts`
2. Remove `RESEND_API_KEY`, `RESEND_FROM_ADDRESS`, `RESEND_FROM_NAME`, `RESEND_WEBHOOK_SECRET` from `.env`
3. `pnpm uninstall @resend/chat-sdk-adapter`
4. Rebuild and restart
+3 -8
View File
@@ -16,7 +16,6 @@ NanoClaw doesn't ship channels in trunk. This skill copies the Resend adapter in
Skip to **Credentials** if all of these are already in place:
- `src/channels/resend.ts` exists
- `src/channels/resend-registration.test.ts` exists
- `src/channels/index.ts` contains `import './resend.js';`
- `@resend/chat-sdk-adapter` is listed in `package.json` dependencies
@@ -28,11 +27,10 @@ Otherwise continue. Every step below is safe to re-run.
git fetch origin channels
```
### 2. Copy the adapter and its registration test
### 2. Copy the adapter
```bash
git show origin/channels:src/channels/resend.ts > src/channels/resend.ts
git show origin/channels:src/channels/resend-registration.test.ts > src/channels/resend-registration.test.ts
git show origin/channels:src/channels/resend.ts > src/channels/resend.ts
```
### 3. Append the self-registration import
@@ -49,15 +47,12 @@ import './resend.js';
pnpm install @resend/chat-sdk-adapter@0.1.1
```
### 5. Build and validate
### 5. Build
```bash
pnpm run build
pnpm exec vitest run src/channels/resend-registration.test.ts
```
Both must be clean before proceeding. `resend-registration.test.ts` is the one integration test: it imports the real channel barrel and asserts the registry contains `resend`. It goes red if the `import './resend.js';` line is deleted or drifts, if the barrel fails to evaluate, or if `@resend/chat-sdk-adapter` isn't installed (the import throws) — so it also implicitly verifies the dependency from step 4. The adapter also calls core's `createChatSdkBridge(...)`; that typed core-API consumption is guarded by `pnpm run build`.
## Credentials
1. Go to [resend.com](https://resend.com) and create an account.
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@@ -0,0 +1,3 @@
# Verify Resend Email Channel
Send an email to the configured from address. The bot should respond via email within a few seconds.
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@@ -1,47 +0,0 @@
# Remove rtk
Idempotent — safe to run even if some steps were never applied. Run Steps 13 once per agent group that had rtk wired (`ncl groups list`).
## 1. Remove the mount from the container config
Read the current mounts, drop the entry whose `containerPath` is `/usr/local/bin/rtk`, and write the rest back.
```bash
pnpm exec tsx scripts/q.ts data/v2.db \
"SELECT additional_mounts FROM container_configs WHERE agent_group_id = '<group-id>'"
```
Write the filtered array (omit any entry with `"containerPath":"/usr/local/bin/rtk"`):
```bash
pnpm exec tsx scripts/q.ts data/v2.db \
"UPDATE container_configs SET additional_mounts = '<filtered-json>' WHERE agent_group_id = '<group-id>'"
```
If no rtk entry is present, leave the array as-is.
## 2. Remove the PreToolUse hook from settings.json
Delete the rtk Bash hook entry (not comment it out). This leaves any other `PreToolUse` entries intact and is safe to re-run:
```bash
SETTINGS="data/v2-sessions/<group-id>/.claude-shared/settings.json"
jq '.hooks.PreToolUse = ((.hooks.PreToolUse // [])
| map(select((.hooks // []) | any(.command == "rtk hook claude") | not)))' \
"$SETTINGS" > /tmp/rtk-settings.json && mv /tmp/rtk-settings.json "$SETTINGS"
```
## 3. Restart the container
```bash
ncl groups restart --id <group-id>
```
## 4. Remove the host binary (optional)
Once no group mounts rtk anymore, remove the binary:
```bash
rm -f ~/.local/bin/rtk
```
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@@ -1,143 +0,0 @@
---
name: add-rtk
description: Install rtk token-compression proxy into agent containers. Routes Bash tool calls through rtk for 6090% token savings on dev commands (git, cargo, pytest, docker, kubectl, etc.).
---
# Add rtk
Install [rtk](https://github.com/rtk-ai/rtk) — a CLI proxy delivering 6090% token savings on common dev commands (git, cargo, pytest, docker, kubectl, etc.) — and wire it transparently into agent containers via the Claude Code `PreToolUse` hook.
## What this sets up
- `rtk` binary at `~/.local/bin/rtk` on the host
- `~/.local/bin/rtk` mounted read-only at `/usr/local/bin/rtk` inside the target agent group's containers
- `PreToolUse` hook in the agent group's `settings.json` so every Bash call is automatically filtered through rtk — no CLAUDE.md instructions needed
## Step 1 — Install rtk on the host
```bash
curl -fsSL https://raw.githubusercontent.com/rtk-ai/rtk/refs/heads/master/install.sh | sh
```
If the script put the binary elsewhere, move it:
```bash
find ~/.local ~/.cargo/bin ~/bin -name rtk 2>/dev/null
mv "$(which rtk 2>/dev/null)" ~/.local/bin/rtk
```
Verify:
```bash
~/.local/bin/rtk --version
chmod +x ~/.local/bin/rtk # if needed
```
## Step 2 — Identify the target agent group
```bash
ncl groups list
```
Note the group ID (e.g. `ag-1776342942165-ptgddd`). Repeat Steps 35 for each group.
## Step 3 — Mount rtk into the container config
`additional_mounts` is a JSON array column on `container_configs`. Read the current value, merge in the rtk entry, and write the merged array back.
Read current mounts first:
```bash
pnpm exec tsx scripts/q.ts data/v2.db \
"SELECT additional_mounts FROM container_configs WHERE agent_group_id = '<group-id>'"
```
Build the merged array: keep every existing entry, drop any entry whose `containerPath` is `/usr/local/bin/rtk` (so re-running replaces rather than duplicates), then add the rtk entry:
```json
{"hostPath":"/home/<user>/.local/bin/rtk","containerPath":"/usr/local/bin/rtk","readonly":true}
```
Write the merged array back:
```bash
pnpm exec tsx scripts/q.ts data/v2.db \
"UPDATE container_configs SET additional_mounts = '<merged-json>' WHERE agent_group_id = '<group-id>'"
```
Verify:
```bash
pnpm exec tsx scripts/q.ts data/v2.db \
"SELECT additional_mounts FROM container_configs WHERE agent_group_id = '<group-id>'"
```
## Step 4 — Add the PreToolUse hook to settings.json
Each agent group has a `settings.json` at:
```
data/v2-sessions/<group-id>/.claude-shared/settings.json
```
This file is mounted at `/home/node/.claude/settings.json` inside the container and is read by Claude Code for hooks, env, and model config.
Add the `PreToolUse` entry with `jq`. This drops any existing rtk Bash hook first, then appends a fresh one, so it is safe to re-run without creating duplicates:
```bash
SETTINGS="data/v2-sessions/<group-id>/.claude-shared/settings.json"
jq '.hooks.PreToolUse = ((.hooks.PreToolUse // [])
| map(select((.hooks // []) | any(.command == "rtk hook claude") | not)))
+ [{"matcher":"Bash","hooks":[{"type":"command","command":"rtk hook claude"}]}]' \
"$SETTINGS" > /tmp/rtk-settings.json && mv /tmp/rtk-settings.json "$SETTINGS"
```
## Step 5 — Restart the container
```bash
ncl groups restart --id <group-id>
```
## Verify
Confirm the binary is executable inside the container so a missing or non-executable mount surfaces immediately rather than as a silent hook failure:
```bash
docker exec "$(docker ps --filter "name=<group-id>" --format '{{.Names}}' | head -1)" rtk --version
```
Then ask the agent to run `git status` or any other supported command. rtk intercepts it silently. Check savings with:
```bash
~/.local/bin/rtk gain
```
## Troubleshooting
### `rtk: command not found` inside the container
Mount wasn't applied or container wasn't restarted:
```bash
pnpm exec tsx scripts/q.ts data/v2.db \
"SELECT additional_mounts FROM container_configs WHERE agent_group_id = '<group-id>'"
# Look for entry with /usr/local/bin/rtk
ncl groups restart --id <group-id>
```
### Hook not firing
Verify the hook is in `settings.json`:
```bash
jq '.hooks.PreToolUse' data/v2-sessions/<group-id>/.claude-shared/settings.json
```
If missing, re-run Step 4.
### Binary won't execute — permission denied
```bash
chmod +x ~/.local/bin/rtk
```
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@@ -1,61 +0,0 @@
# Remove Signal
Every step is idempotent — safe to re-run.
## 1. Remove the adapter
Delete the self-registration import from `src/channels/index.ts` (skip if already gone):
```typescript
import './signal.js';
```
Then delete the copied adapter and its tests:
```bash
rm -f src/channels/signal.ts src/channels/signal-registration.test.ts src/channels/signal.test.ts
```
## 2. Remove credentials
Remove the `SIGNAL_*` lines from `.env`:
```bash
SIGNAL_ACCOUNT
SIGNAL_TCP_HOST
SIGNAL_TCP_PORT
SIGNAL_CLI_PATH
SIGNAL_MANAGE_DAEMON
SIGNAL_DATA_DIR
```
Then re-sync to the container:
```bash
mkdir -p data/env && cp .env data/env/env
```
## 3. Rebuild and restart
Run from your NanoClaw project root:
```bash
pnpm run build
source setup/lib/install-slug.sh
# Linux
systemctl --user restart $(systemd_unit)
# macOS
launchctl kickstart -k gui/$(id -u)/$(launchd_label)
```
## 4. Unlink the Signal account (optional)
To unlink NanoClaw's device from the Signal account:
```bash
signal-cli -a +1YOURNUMBER removeDevice --deviceId <id>
```
Find the device id with `signal-cli -a +1YOURNUMBER listDevices`.
-335
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@@ -1,335 +0,0 @@
---
name: add-signal
description: Add Signal channel integration via signal-cli TCP daemon. Native adapter — no Chat SDK bridge.
---
# Add Signal Channel
Adds Signal messaging support via a native adapter that speaks JSON-RPC to a [signal-cli](https://github.com/AsamK/signal-cli) TCP daemon. No Chat SDK bridge — only Node.js builtins (`node:net`, `node:child_process`, `node:fs`).
Unlike Telegram or Discord, Signal has no bot API. NanoClaw registers as a full Signal account on a dedicated phone number (recommended) or links as a secondary device on your existing number.
## Prerequisites
### Java
signal-cli requires Java 17+:
```bash
java -version
```
If missing:
- **macOS:** `brew install --cask temurin@17`
- **Debian/Ubuntu:** `sudo apt-get install -y default-jre`
- **RHEL/Fedora:** `sudo dnf install -y java-17-openjdk`
Java 1725 all work.
### signal-cli
- **macOS:** `brew install signal-cli`
- **Linux:** download the native binary from [GitHub releases](https://github.com/AsamK/signal-cli/releases):
```bash
SIGNAL_CLI_VERSION=$(curl -fsSL https://api.github.com/repos/AsamK/signal-cli/releases/latest | python3 -c "import sys,json; print(json.load(sys.stdin)['tag_name'][1:])")
curl -fsSL "https://github.com/AsamK/signal-cli/releases/download/v${SIGNAL_CLI_VERSION}/signal-cli-${SIGNAL_CLI_VERSION}-Linux-native.tar.gz" \
| tar -xz -C ~/.local
ln -sf ~/.local/signal-cli ~/.local/bin/signal-cli
signal-cli --version
```
> The Linux native tarball extracts a single binary directly to `~/.local/signal-cli` (not into a subdirectory). The symlink above puts it on PATH.
## Registration
Two paths. The new-number path is recommended and battle-tested.
### Path A: Register a new number (recommended)
Use a dedicated SIM or VoIP number. NanoClaw owns it entirely.
> **VoIP numbers:** Signal requires SMS verification before voice. Some VoIP providers are blocked even for voice calls. If registration fails with an auth error, try a different provider or a physical SIM.
**Step 1: Solve the CAPTCHA**
Signal requires a CAPTCHA on first registration:
1. Open `https://signalcaptchas.org/registration/generate.html` in a browser
2. Solve the captcha
3. Right-click the **"Open Signal"** button → **Copy Link**
4. The link starts with `signalcaptcha://` — the token is everything after that prefix
**Step 2: Request SMS verification**
```bash
signal-cli -a +1YOURNUMBER register --captcha "PASTE_TOKEN_HERE"
```
**Step 3: Voice call fallback (if your number can't receive SMS)**
Wait ~60 seconds after the SMS request, then:
```bash
signal-cli -a +1YOURNUMBER register --voice --captcha "SAME_TOKEN"
```
Signal calls your number and reads a 6-digit code. The same captcha token is reusable — no need to solve a new one.
> You must request SMS first. Requesting voice immediately fails with `Invalid verification method: Before requesting voice verification…`
**Step 4: Verify**
```bash
signal-cli -a +1YOURNUMBER verify CODE
```
No output = success.
**Step 5: Set profile name (optional)**
> ⚠ Stop NanoClaw before running signal-cli commands — the daemon holds an exclusive lock on its data directory while running.
Run from your NanoClaw project root:
```bash
source setup/lib/install-slug.sh
# macOS
launchctl unload ~/Library/LaunchAgents/$(launchd_label).plist
signal-cli -a +1YOURNUMBER updateProfile --name "YourBotName"
# optionally: --avatar /path/to/avatar.jpg
launchctl load ~/Library/LaunchAgents/$(launchd_label).plist
# Linux
systemctl --user stop $(systemd_unit)
signal-cli -a +1YOURNUMBER updateProfile --name "YourBotName"
systemctl --user start $(systemd_unit)
```
### Path B: Link as secondary device
Joins an existing Signal account as a secondary device. Simpler, but NanoClaw shares your personal number.
```bash
signal-cli -a +1YOURNUMBER link --name "NanoClaw"
```
This prints a `tsdevice:` URI. Scan it as a QR code on your phone: **Settings → Linked Devices → Link New Device**. QR codes expire in ~30 seconds — re-run if it expires.
## Install
### Pre-flight (idempotent)
Skip to **Credentials** if all of these are already in place:
- `src/channels/signal.ts` exists
- `src/channels/signal.test.ts` exists
- `src/channels/signal-registration.test.ts` exists
- `src/channels/index.ts` contains `import './signal.js';`
Otherwise continue. Every step below is safe to re-run.
### 1. Fetch the channels branch
```bash
git fetch origin channels
```
### 2. Copy the adapter and tests
```bash
git show origin/channels:src/channels/signal.ts > src/channels/signal.ts
git show origin/channels:src/channels/signal.test.ts > src/channels/signal.test.ts
git show origin/channels:src/channels/signal-registration.test.ts > src/channels/signal-registration.test.ts
```
### 3. Append the self-registration import
Append to `src/channels/index.ts` (skip if the line is already present):
```typescript
import './signal.js';
```
### 4. Build and validate
```bash
pnpm run build
pnpm exec vitest run src/channels/signal-registration.test.ts
```
Both must be clean before proceeding. `signal-registration.test.ts` is the one integration test: it imports the real channel barrel and asserts the registry contains `signal`. It goes red if the `import './signal.js';` line is deleted or drifts, or if the barrel fails to evaluate (so the channel genuinely would not register). The adapter consumes only Node.js builtins, so there is no npm dependency to guard for this channel. The adapter's typed core-API consumption is guarded by `pnpm run build`.
## Credentials
Add to `.env`:
```bash
SIGNAL_ACCOUNT=+1YOURNUMBER
```
### Optional settings
```bash
# TCP daemon host and port (default: 127.0.0.1:7583)
SIGNAL_TCP_HOST=127.0.0.1
SIGNAL_TCP_PORT=7583
# Path to the signal-cli binary (default: resolved on PATH)
SIGNAL_CLI_PATH=/usr/local/bin/signal-cli
# Whether NanoClaw manages the daemon lifecycle (default: true).
# Set to false if you run signal-cli daemon externally.
SIGNAL_MANAGE_DAEMON=true
# signal-cli data directory (default: ~/.local/share/signal-cli)
SIGNAL_DATA_DIR=~/.local/share/signal-cli
```
**Security note:** keep the TCP host on `127.0.0.1`. The daemon has no auth — binding it to a public interface would expose your full Signal account to the network.
Sync to container: `mkdir -p data/env && cp .env data/env/env`
### Restart
Run from your NanoClaw project root:
```bash
source setup/lib/install-slug.sh
# macOS
launchctl kickstart -k gui/$(id -u)/$(launchd_label)
# Linux
systemctl --user restart $(systemd_unit)
```
## Wiring
### DMs
After the service starts, send any message to the Signal number from your personal Signal app. The router auto-creates a `messaging_groups` row. Then:
```bash
pnpm exec tsx scripts/q.ts data/v2.db \
"SELECT id, platform_id FROM messaging_groups WHERE channel_type='signal' ORDER BY created_at DESC LIMIT 5"
```
Pass the `id` to `/init-first-agent` or `/manage-channels` to wire it to an agent group.
### Groups
Add the Signal number to a group from your phone, send any message, then wire the resulting row the same way. For isolated per-group sessions:
```bash
NOW=$(date -u +"%Y-%m-%dT%H:%M:%S.000Z")
pnpm exec tsx scripts/q.ts data/v2.db "
INSERT OR IGNORE INTO messaging_group_agents
(id, messaging_group_id, agent_group_id, session_mode, priority, created_at)
VALUES
('mga-'||hex(randomblob(8)), 'mg-GROUPID', 'ag-AGENTID', 'isolated', 0, '$NOW');
"
```
### Grant user access
New Signal users (including the owner's Signal identity) are silently dropped with `not_member` until granted access. After the user's first message appears in `messaging_groups`:
```bash
NOW=$(date -u +"%Y-%m-%dT%H:%M:%S.000Z")
pnpm exec tsx scripts/q.ts data/v2.db "
INSERT OR REPLACE INTO user_roles (user_id, role, agent_group_id, granted_by, granted_at)
VALUES ('signal:UUID', 'owner', NULL, 'system', '$NOW');
INSERT OR IGNORE INTO agent_group_members (user_id, agent_group_id, added_by, added_at)
VALUES ('signal:UUID', 'ag-AGENTID', 'system', '$NOW');
"
```
Find the UUID from `messaging_groups.platform_id` or the `users` table.
## Next Steps
If you're in the middle of `/setup`, return to the setup flow now.
Otherwise, run `/init-first-agent` to create an agent and wire it to your Signal DM, or `/manage-channels` to wire this channel to an existing agent group.
## Channel Info
- **type**: `signal`
- **terminology**: Signal has "chats" (1:1 DMs) and "groups"
- **supports-threads**: no
- **platform-id-format**:
- DM: `signal:{UUID}` — sender's Signal UUID (ACI), **not** their phone number
- Group: `signal:{base64GroupId}` — base64-encoded GroupV2 ID
- **how-to-find-id**: Send a message to the bot, then query `messaging_groups` as shown above
- **typical-use**: Personal assistant via Signal DMs or small group chats
- **default-isolation**: One agent per Signal account. Multiple chats with the same operator can share an agent group; groups with other people should typically use `isolated` session mode
### Features
- Markdown formatting — `**bold**`, `*italic*` / `_italic_`, `` `code` ``, ` ```code fence``` `, `~~strike~~`, `||spoiler||` (converted to Signal's offset-based text styles)
- Quoted replies — `replyTo*` fields populated from Signal quotes
- Typing indicators — DMs only (Signal doesn't support group typing)
- Echo suppression — outbound messages matched on `(platformId, text)` within a 10 s TTL to avoid syncMessage loops
- Note to Self — messages you send to your own account from another device route to the agent as inbound with `isFromMe: true`
- Voice attachments — detected but not transcribed by default; the agent receives `[Voice Message]` placeholder text. Run `/add-voice-transcription` for local transcription via parakeet-mlx
Not supported yet: outbound file attachments (logged and dropped), edit/delete messages, reactions.
## Troubleshooting
### Daemon not reachable
```bash
grep "Signal" logs/nanoclaw.log | tail
```
If you see `Signal daemon failed to start. Is signal-cli installed and your account linked?`:
- Confirm `signal-cli` is on PATH (or set `SIGNAL_CLI_PATH`)
- Confirm the account is linked: `signal-cli -a +1YOURNUMBER listIdentities` should succeed without prompting
If you see `Signal daemon not reachable at 127.0.0.1:7583` and `SIGNAL_MANAGE_DAEMON=false`, start the daemon yourself: `signal-cli -a +1YOURNUMBER daemon --tcp 127.0.0.1:7583`.
### Bot not responding
1. Channel initialized: `grep "Signal channel connected" logs/nanoclaw.log | tail -1`
2. Channel wired: `pnpm exec tsx scripts/q.ts data/v2.db "SELECT mg.platform_id, mg.name FROM messaging_groups mg JOIN messaging_group_agents mga ON mg.id = mga.messaging_group_id WHERE mg.channel_type='signal'"`
3. Service running: `launchctl print gui/$(id -u)/"$(. setup/lib/install-slug.sh && launchd_label)"` (macOS) / `systemctl --user status "$(. setup/lib/install-slug.sh && systemd_unit)"` (Linux)
4. **Check for duplicate service instances** — if `logs/nanoclaw.error.log` shows `No adapter for channel type channelType="signal"` despite the adapter starting, two NanoClaw processes are racing. See the `/debug` skill section "No adapter for channel type / Messages silently lost" for the full fix.
### Messages delivered but never arrive (null platformMsgId)
Signal responses show `platformMsgId=undefined` in the main log. This means the delivery poll ran but found no adapter — likely a duplicate service instance issue (see above). Affected messages cannot be retried; the user must resend.
### Lost connection mid-session
If you see `Signal channel lost TCP connection to signal-cli daemon` in the logs, the daemon dropped the connection. Restart the service to re-establish.
### Messages dropped with `not_member`
The Signal user hasn't been granted membership. See "Grant user access" above. This affects every new Signal user, including the owner's Signal identity — which is a separate user record from their identity on other channels even if it's the same person.
### Captcha required
Signal requires a captcha for new registrations. Go to `https://signalcaptchas.org/registration/generate.html`, solve it, right-click "Open Signal", copy the link, extract the token after `signalcaptcha://`.
### `Invalid verification method: Before requesting voice verification…`
You must request SMS first, wait ~60 seconds, then request voice. Both steps can use the same captcha token.
### Config file in use / daemon lock
signal-cli holds an exclusive lock on its data directory while the daemon is running. Stop NanoClaw before running any `signal-cli` commands directly, then restart afterward.
### Group replies going to DM instead of group
Modern Signal groups use GroupV2. The adapter must extract the group ID from `envelope?.dataMessage?.groupV2?.id` — not `groupInfo?.groupId`, which is GroupV1/legacy. If group messages are routing as DMs, check `src/channels/signal.ts` and confirm the groupId extraction falls through to `groupV2.id`.
### Java not found
Install Java 17+ — see the Prerequisites section above.
### QR code expired (Path B)
QR codes expire in ~30 seconds. Re-run the link command to generate a new one.
+4 -38
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@@ -1,40 +1,6 @@
# Remove Slack
Every step is idempotent — safe to re-run.
## 1. Remove the adapter
Delete the self-registration import from `src/channels/index.ts` (skip if already gone):
```typescript
import './slack.js';
```
Then delete the copied adapter and its registration test:
```bash
rm -f src/channels/slack.ts src/channels/slack-registration.test.ts
```
## 2. Remove credentials
Remove `SLACK_BOT_TOKEN` and `SLACK_SIGNING_SECRET` from `.env`, then re-sync to the container:
```bash
mkdir -p data/env && cp .env data/env/env
```
## 3. Remove the package
```bash
pnpm uninstall @chat-adapter/slack
```
## 4. Rebuild and restart
```bash
pnpm run build
source setup/lib/install-slug.sh
launchctl kickstart -k gui/$(id -u)/$(launchd_label) # macOS
# Linux: systemctl --user restart $(systemd_unit)
```
1. Comment out `import './slack.js'` in `src/channels/index.ts`
2. Remove `SLACK_BOT_TOKEN` and `SLACK_SIGNING_SECRET` from `.env`
3. `pnpm uninstall @chat-adapter/slack`
4. Rebuild and restart
+6 -19
View File
@@ -16,7 +16,6 @@ NanoClaw doesn't ship channels in trunk. This skill copies the Slack adapter in
Skip to **Credentials** if all of these are already in place:
- `src/channels/slack.ts` exists
- `src/channels/slack-registration.test.ts` exists
- `src/channels/index.ts` contains `import './slack.js';`
- `@chat-adapter/slack` is listed in `package.json` dependencies
@@ -28,11 +27,10 @@ Otherwise continue. Every step below is safe to re-run.
git fetch origin channels
```
### 2. Copy the adapter and its registration test
### 2. Copy the adapter
```bash
git show origin/channels:src/channels/slack.ts > src/channels/slack.ts
git show origin/channels:src/channels/slack-registration.test.ts > src/channels/slack-registration.test.ts
git show origin/channels:src/channels/slack.ts > src/channels/slack.ts
```
### 3. Append the self-registration import
@@ -46,20 +44,15 @@ import './slack.js';
### 4. Install the adapter package (pinned)
```bash
pnpm install @chat-adapter/slack@4.27.0
pnpm install @chat-adapter/slack@4.26.0
```
### 5. Build and validate
### 5. Build
```bash
pnpm run build
pnpm exec vitest run src/channels/slack-registration.test.ts
```
Both must be clean before proceeding. `slack-registration.test.ts` is the one integration test: it imports the real channel barrel and asserts the registry contains `slack`. It goes red if the `import './slack.js';` line is deleted or drifts, if the barrel fails to evaluate, or if `@chat-adapter/slack` isn't installed (the import throws) — so it also implicitly verifies the dependency from step 4. The adapter also calls core's `createChatSdkBridge(...)`; that typed core-API consumption is guarded by `pnpm run build`.
End-to-end message delivery against a real Slack workspace is verified manually once the service is running — see Next Steps and the webhook setup above.
## Credentials
### Create Slack App
@@ -67,7 +60,7 @@ End-to-end message delivery against a real Slack workspace is verified manually
1. Go to [api.slack.com/apps](https://api.slack.com/apps) and click **Create New App** > **From scratch**
2. Name it (e.g., "NanoClaw") and select your workspace
3. Go to **OAuth & Permissions** and add Bot Token Scopes:
- `chat:write`, `im:write`, `channels:history`, `groups:history`, `im:history`, `channels:read`, `groups:read`, `users:read`, `reactions:write`, `files:read`, `files:write`
- `chat:write`, `channels:history`, `groups:history`, `im:history`, `channels:read`, `groups:read`, `users:read`, `reactions:write`
4. Click **Install to Workspace** and copy the **Bot User OAuth Token** (`xoxb-...`)
5. Go to **Basic Information** and copy the **Signing Secret**
@@ -83,13 +76,7 @@ End-to-end message delivery against a real Slack workspace is verified manually
10. Under **Subscribe to bot events**, add:
- `message.channels`, `message.groups`, `message.im`, `app_mention`
11. Click **Save Changes**
### Interactivity
12. Go to **Interactivity & Shortcuts** and toggle **Interactivity** on
13. Set the **Request URL** to the same `https://your-domain/webhook/slack`
14. Click **Save Changes**
15. Slack will show a banner asking you to **reinstall the app** — click it to apply the new settings
12. Slack will show a banner asking you to **reinstall the app** — click it to apply the new event subscriptions
### Configure environment
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@@ -0,0 +1,3 @@
# Verify Slack
Add the bot to a Slack channel, then send a message or @mention the bot. The bot should respond within a few seconds.
+5 -46
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@@ -1,47 +1,6 @@
# Remove Microsoft Teams
# Remove Microsoft Teams Channel
Every step is idempotent — safe to re-run.
## 1. Remove the adapter
Delete the self-registration import from `src/channels/index.ts` (skip if already gone):
```typescript
import './teams.js';
```
Then delete the copied adapter and its registration test:
```bash
rm -f src/channels/teams.ts src/channels/teams-registration.test.ts
```
## 2. Remove credentials
Remove the `TEAMS_*` lines from `.env`, then re-sync to the container:
```bash
TEAMS_APP_ID
TEAMS_APP_PASSWORD
TEAMS_APP_TENANT_ID
TEAMS_APP_TYPE
```
```bash
mkdir -p data/env && cp .env data/env/env
```
## 3. Remove the package
```bash
pnpm uninstall @chat-adapter/teams
```
## 4. Rebuild and restart
```bash
pnpm run build
source setup/lib/install-slug.sh
launchctl kickstart -k gui/$(id -u)/$(launchd_label) # macOS
# Linux: systemctl --user restart $(systemd_unit)
```
1. Comment out `import './teams.js'` in `src/channels/index.ts`
2. Remove `TEAMS_APP_ID` and `TEAMS_APP_PASSWORD` from `.env`
3. `pnpm uninstall @chat-adapter/teams`
4. Rebuild and restart
+4 -52
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@@ -16,7 +16,6 @@ NanoClaw doesn't ship channels in trunk. This skill copies the Teams adapter in
Skip to **Credentials** if all of these are already in place:
- `src/channels/teams.ts` exists
- `src/channels/teams-registration.test.ts` exists
- `src/channels/index.ts` contains `import './teams.js';`
- `@chat-adapter/teams` is listed in `package.json` dependencies
@@ -28,11 +27,10 @@ Otherwise continue. Every step below is safe to re-run.
git fetch origin channels
```
### 2. Copy the adapter and its registration test
### 2. Copy the adapter
```bash
git show origin/channels:src/channels/teams.ts > src/channels/teams.ts
git show origin/channels:src/channels/teams-registration.test.ts > src/channels/teams-registration.test.ts
git show origin/channels:src/channels/teams.ts > src/channels/teams.ts
```
### 3. Append the self-registration import
@@ -46,63 +44,17 @@ import './teams.js';
### 4. Install the adapter package (pinned)
```bash
pnpm install @chat-adapter/teams@4.27.0
pnpm install @chat-adapter/teams@4.26.0
```
### 5. Build and validate
### 5. Build
```bash
pnpm run build
pnpm exec vitest run src/channels/teams-registration.test.ts
```
Both must be clean before proceeding. `teams-registration.test.ts` is the one integration test: it imports the real channel barrel and asserts the registry contains `teams`. It goes red if the `import './teams.js';` line is deleted or drifts, if the barrel fails to evaluate, or if `@chat-adapter/teams` isn't installed (the import throws) — so it also implicitly verifies the dependency from step 4. The adapter also calls core's `createChatSdkBridge(...)`; that typed core-API consumption is guarded by `pnpm run build`.
End-to-end message delivery against a real Teams workspace is verified manually once the service is running — see Next Steps and the webhook setup above.
## Credentials
Two paths — manual (Azure Portal) or auto (Teams CLI).
### Auto: Teams CLI
Requires Node.js 18+, a Microsoft 365 account with sideloading permissions, and a public HTTPS endpoint (ngrok, Cloudflare Tunnel, or similar).
1. Install the CLI:
```bash
npm install -g @microsoft/teams.cli@preview
```
2. Sign in and verify:
```bash
teams login
teams status
```
3. Create the Entra app, client secret, and bot registration:
```bash
teams app create \
--name "NanoClaw" \
--endpoint "https://your-domain/api/webhooks/teams"
```
The CLI prints the credentials as `CLIENT_ID`, `CLIENT_SECRET`, and `TENANT_ID`. Map them to NanoClaw's env keys:
- `CLIENT_ID` → `TEAMS_APP_ID`
- `CLIENT_SECRET` → `TEAMS_APP_PASSWORD`
- `TENANT_ID` → `TEAMS_APP_TENANT_ID`
4. Pick **Install in Teams** from the post-create menu and confirm in the Teams dialog.
Continue to [Configure environment](#configure-environment).
---
The steps below describe the **manual Azure Portal path**.
### Step 1: Create an Azure AD App Registration
1. Go to [Azure Portal](https://portal.azure.com) > **App registrations** > **New registration**
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@@ -0,0 +1,3 @@
# Verify Microsoft Teams Channel
Add the bot to a Teams channel or send it a direct message. The bot should respond within a few seconds.
+384
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@@ -0,0 +1,384 @@
---
name: add-telegram-swarm
description: Add Agent Swarm (Teams) support to Telegram. Each subagent gets its own bot identity in the group. Requires Telegram channel to be set up first (use /add-telegram). Triggers on "agent swarm", "agent teams telegram", "telegram swarm", "bot pool".
---
# Add Agent Swarm to Telegram
This skill adds Agent Teams (Swarm) support to an existing Telegram channel. Each subagent in a team gets its own bot identity in the Telegram group, so users can visually distinguish which agent is speaking.
**Prerequisite**: Telegram must already be set up via the `/add-telegram` skill. If `src/telegram.ts` does not exist or `TELEGRAM_BOT_TOKEN` is not configured, tell the user to run `/add-telegram` first.
## How It Works
- The **main bot** receives messages and sends lead agent responses (already set up by `/add-telegram`)
- **Pool bots** are send-only — each gets a Grammy `Api` instance (no polling)
- When a subagent calls `send_message` with a `sender` parameter, the host assigns a pool bot and renames it to match the sender's role
- Messages appear in Telegram from different bot identities
```
Subagent calls send_message(text: "Found 3 results", sender: "Researcher")
→ MCP writes IPC file with sender field
→ Host IPC watcher picks it up
→ Assigns pool bot #2 to "Researcher" (round-robin, stable per-group)
→ Renames pool bot #2 to "Researcher" via setMyName
→ Sends message via pool bot #2's Api instance
→ Appears in Telegram from "Researcher" bot
```
## Prerequisites
### 1. Create Pool Bots
Tell the user:
> I need you to create 3-5 Telegram bots to use as the agent pool. These will be renamed dynamically to match agent roles.
>
> 1. Open Telegram and search for `@BotFather`
> 2. Send `/newbot` for each bot:
> - Give them any placeholder name (e.g., "Bot 1", "Bot 2")
> - Usernames like `myproject_swarm_1_bot`, `myproject_swarm_2_bot`, etc.
> 3. Copy all the tokens
> 4. Add all bots to your Telegram group(s) where you want agent teams
Wait for user to provide the tokens.
### 2. Disable Group Privacy for Pool Bots
Tell the user:
> **Important**: Each pool bot needs Group Privacy disabled so it can send messages in groups.
>
> For each pool bot in `@BotFather`:
> 1. Send `/mybots` and select the bot
> 2. Go to **Bot Settings** > **Group Privacy** > **Turn off**
>
> Then add all pool bots to your Telegram group(s).
## Implementation
### Step 1: Update Configuration
Read `src/config.ts` and add the bot pool config near the other Telegram exports:
```typescript
export const TELEGRAM_BOT_POOL = (process.env.TELEGRAM_BOT_POOL || '')
.split(',')
.map((t) => t.trim())
.filter(Boolean);
```
### Step 2: Add Bot Pool to Telegram Module
Read `src/telegram.ts` and add the following:
1. **Update imports** — add `Api` to the Grammy import:
```typescript
import { Api, Bot } from 'grammy';
```
2. **Add pool state** after the existing `let bot` declaration:
```typescript
// Bot pool for agent teams: send-only Api instances (no polling)
const poolApis: Api[] = [];
// Maps "{groupFolder}:{senderName}" → pool Api index for stable assignment
const senderBotMap = new Map<string, number>();
let nextPoolIndex = 0;
```
3. **Add pool functions** — place these before the `isTelegramConnected` function:
```typescript
/**
* Initialize send-only Api instances for the bot pool.
* Each pool bot can send messages but doesn't poll for updates.
*/
export async function initBotPool(tokens: string[]): Promise<void> {
for (const token of tokens) {
try {
const api = new Api(token);
const me = await api.getMe();
poolApis.push(api);
logger.info(
{ username: me.username, id: me.id, poolSize: poolApis.length },
'Pool bot initialized',
);
} catch (err) {
logger.error({ err }, 'Failed to initialize pool bot');
}
}
if (poolApis.length > 0) {
logger.info({ count: poolApis.length }, 'Telegram bot pool ready');
}
}
/**
* Send a message via a pool bot assigned to the given sender name.
* Assigns bots round-robin on first use; subsequent messages from the
* same sender in the same group always use the same bot.
* On first assignment, renames the bot to match the sender's role.
*/
export async function sendPoolMessage(
chatId: string,
text: string,
sender: string,
groupFolder: string,
): Promise<void> {
if (poolApis.length === 0) {
// No pool bots — fall back to main bot
await sendTelegramMessage(chatId, text);
return;
}
const key = `${groupFolder}:${sender}`;
let idx = senderBotMap.get(key);
if (idx === undefined) {
idx = nextPoolIndex % poolApis.length;
nextPoolIndex++;
senderBotMap.set(key, idx);
// Rename the bot to match the sender's role, then wait for Telegram to propagate
try {
await poolApis[idx].setMyName(sender);
await new Promise((r) => setTimeout(r, 2000));
logger.info({ sender, groupFolder, poolIndex: idx }, 'Assigned and renamed pool bot');
} catch (err) {
logger.warn({ sender, err }, 'Failed to rename pool bot (sending anyway)');
}
}
const api = poolApis[idx];
try {
const numericId = chatId.replace(/^tg:/, '');
const MAX_LENGTH = 4096;
if (text.length <= MAX_LENGTH) {
await api.sendMessage(numericId, text);
} else {
for (let i = 0; i < text.length; i += MAX_LENGTH) {
await api.sendMessage(numericId, text.slice(i, i + MAX_LENGTH));
}
}
logger.info({ chatId, sender, poolIndex: idx, length: text.length }, 'Pool message sent');
} catch (err) {
logger.error({ chatId, sender, err }, 'Failed to send pool message');
}
}
```
### Step 3: Add sender Parameter to MCP Tool
Read `container/agent-runner/src/ipc-mcp-stdio.ts` and update the `send_message` tool to accept an optional `sender` parameter:
Change the tool's schema from:
```typescript
{ text: z.string().describe('The message text to send') },
```
To:
```typescript
{
text: z.string().describe('The message text to send'),
sender: z.string().optional().describe('Your role/identity name (e.g. "Researcher"). When set, messages appear from a dedicated bot in Telegram.'),
},
```
And update the handler to include `sender` in the IPC data:
```typescript
async (args) => {
const data: Record<string, string | undefined> = {
type: 'message',
chatJid,
text: args.text,
sender: args.sender || undefined,
groupFolder,
timestamp: new Date().toISOString(),
};
writeIpcFile(MESSAGES_DIR, data);
return { content: [{ type: 'text' as const, text: 'Message sent.' }] };
},
```
### Step 4: Update Host IPC Routing
Read `src/ipc.ts` and make these changes:
1. **Add imports** — add `sendPoolMessage` and `initBotPool` from the Telegram swarm module, and `TELEGRAM_BOT_POOL` from config.
2. **Update IPC message routing** — in `src/ipc.ts`, find where the `sendMessage` dependency is called to deliver IPC messages (inside `processIpcFiles`). The `sendMessage` is passed in via the `IpcDeps` parameter. Wrap it to route Telegram swarm messages through the bot pool:
```typescript
if (data.sender && data.chatJid.startsWith('tg:')) {
await sendPoolMessage(
data.chatJid,
data.text,
data.sender,
sourceGroup,
);
} else {
await deps.sendMessage(data.chatJid, data.text);
}
```
Note: The assistant name prefix is handled by `formatOutbound()` in the router — Telegram channels have `prefixAssistantName = false` so no prefix is added for `tg:` JIDs.
3. **Initialize pool in `main()` in `src/index.ts`** — after creating the Telegram channel, add:
```typescript
if (TELEGRAM_BOT_POOL.length > 0) {
await initBotPool(TELEGRAM_BOT_POOL);
}
```
### Step 5: Update CLAUDE.md Files
#### 5a. Add global message formatting rules
Read `groups/global/CLAUDE.md` and add a Message Formatting section:
```markdown
## Message Formatting
NEVER use markdown. Only use WhatsApp/Telegram formatting:
- *single asterisks* for bold (NEVER **double asterisks**)
- _underscores_ for italic
- • bullet points
- ```triple backticks``` for code
No ## headings. No [links](url). No **double stars**.
```
#### 5b. Update existing group CLAUDE.md headings
In any group CLAUDE.md that has a "WhatsApp Formatting" section (e.g. `groups/main/CLAUDE.md`), rename the heading to reflect multi-channel support:
```
## WhatsApp Formatting (and other messaging apps)
```
#### 5c. Add Agent Teams instructions to Telegram groups
For each Telegram group that will use agent teams, create or update its `groups/{folder}/CLAUDE.md` with these instructions. Read the existing CLAUDE.md first (or `groups/global/CLAUDE.md` as a base) and add the Agent Teams section:
```markdown
## Agent Teams
When creating a team to tackle a complex task, follow these rules:
### CRITICAL: Follow the user's prompt exactly
Create *exactly* the team the user asked for — same number of agents, same roles, same names. Do NOT add extra agents, rename roles, or use generic names like "Researcher 1". If the user says "a marine biologist, a physicist, and Alexander Hamilton", create exactly those three agents with those exact names.
### Team member instructions
Each team member MUST be instructed to:
1. *Share progress in the group* via `mcp__nanoclaw__send_message` with a `sender` parameter matching their exact role/character name (e.g., `sender: "Marine Biologist"` or `sender: "Alexander Hamilton"`). This makes their messages appear from a dedicated bot in the Telegram group.
2. *Also communicate with teammates* via `SendMessage` as normal for coordination.
3. Keep group messages *short* — 2-4 sentences max per message. Break longer content into multiple `send_message` calls. No walls of text.
4. Use the `sender` parameter consistently — always the same name so the bot identity stays stable.
5. NEVER use markdown formatting. Use ONLY WhatsApp/Telegram formatting: single *asterisks* for bold (NOT **double**), _underscores_ for italic, • for bullets, ```backticks``` for code. No ## headings, no [links](url), no **double asterisks**.
### Example team creation prompt
When creating a teammate, include instructions like:
\```
You are the Marine Biologist. When you have findings or updates for the user, send them to the group using mcp__nanoclaw__send_message with sender set to "Marine Biologist". Keep each message short (2-4 sentences max). Use emojis for strong reactions. ONLY use single *asterisks* for bold (never **double**), _underscores_ for italic, • for bullets. No markdown. Also communicate with teammates via SendMessage.
\```
### Lead agent behavior
As the lead agent who created the team:
- You do NOT need to react to or relay every teammate message. The user sees those directly from the teammate bots.
- Send your own messages only to comment, share thoughts, synthesize, or direct the team.
- When processing an internal update from a teammate that doesn't need a user-facing response, wrap your *entire* output in `<internal>` tags.
- Focus on high-level coordination and the final synthesis.
```
### Step 6: Update Environment
Add pool tokens to `.env`:
```bash
TELEGRAM_BOT_POOL=TOKEN1,TOKEN2,TOKEN3,...
```
**Important**: Sync to all required locations:
```bash
cp .env data/env/env
```
Also add `TELEGRAM_BOT_POOL` to the launchd plist (`~/Library/LaunchAgents/com.nanoclaw.plist`) in the `EnvironmentVariables` dict if using launchd.
### Step 7: Rebuild and Restart
```bash
pnpm run build
./container/build.sh # Required — MCP tool changed
# macOS:
launchctl unload ~/Library/LaunchAgents/com.nanoclaw.plist
launchctl load ~/Library/LaunchAgents/com.nanoclaw.plist
# Linux:
# systemctl --user restart nanoclaw
```
Must use `unload/load` (macOS) or `restart` (Linux) because the service env vars changed.
### Step 8: Test
Tell the user:
> Send a message in your Telegram group asking for a multi-agent task, e.g.:
> "Assemble a team of a researcher and a coder to build me a hello world app"
>
> You should see:
> - The lead agent (main bot) acknowledging and creating the team
> - Each subagent messaging from a different bot, renamed to their role
> - Short, scannable messages from each agent
>
> Check logs: `tail -f logs/nanoclaw.log | grep -i pool`
## Architecture Notes
- Pool bots use Grammy's `Api` class — lightweight, no polling, just send
- Bot names are set via `setMyName` — changes are global to the bot, not per-chat
- A 2-second delay after `setMyName` allows Telegram to propagate the name change before the first message
- Sender→bot mapping is stable within a group (keyed as `{groupFolder}:{senderName}`)
- Mapping resets on service restart — pool bots get reassigned fresh
- If pool runs out, bots are reused (round-robin wraps)
## Troubleshooting
### Pool bots not sending messages
1. Verify tokens: `curl -s "https://api.telegram.org/botTOKEN/getMe"`
2. Check pool initialized: `grep "Pool bot" logs/nanoclaw.log`
3. Ensure all pool bots are members of the Telegram group
4. Check Group Privacy is disabled for each pool bot
### Bot names not updating
Telegram caches bot names client-side. The 2-second delay after `setMyName` helps, but users may need to restart their Telegram client to see updated names immediately.
### Subagents not using send_message
Check the group's `CLAUDE.md` has the Agent Teams instructions. The lead agent reads this when creating teammates and must include the `send_message` + `sender` instructions in each teammate's prompt.
## Removal
To remove Agent Swarm support while keeping basic Telegram:
1. Remove `TELEGRAM_BOT_POOL` from `src/config.ts`
2. Remove pool code from `src/telegram.ts` (`poolApis`, `senderBotMap`, `initBotPool`, `sendPoolMessage`)
3. Remove pool routing from IPC handler in `src/index.ts` (revert to plain `sendMessage`)
4. Remove `initBotPool` call from `main()`
5. Remove `sender` param from MCP tool in `container/agent-runner/src/ipc-mcp-stdio.ts`
6. Remove Agent Teams section from group CLAUDE.md files
7. Remove `TELEGRAM_BOT_POOL` from `.env`, `data/env/env`, and launchd plist/systemd unit
8. Rebuild: `pnpm run build && ./container/build.sh && launchctl unload ~/Library/LaunchAgents/com.nanoclaw.plist && launchctl load ~/Library/LaunchAgents/com.nanoclaw.plist` (macOS) or `pnpm run build && ./container/build.sh && systemctl --user restart nanoclaw` (Linux)
+4 -49
View File
@@ -1,51 +1,6 @@
# Remove Telegram
Every step is idempotent — safe to re-run.
## 1. Remove the adapter
Delete the self-registration import from `src/channels/index.ts` (skip if already gone):
```typescript
import './telegram.js';
```
Then delete the copied adapter, helpers, tests, registration test, and setup step:
```bash
rm -f src/channels/telegram.ts src/channels/telegram-registration.test.ts \
src/channels/telegram-pairing.ts src/channels/telegram-markdown-sanitize.ts \
src/channels/telegram-pairing.test.ts src/channels/telegram-markdown-sanitize.test.ts \
setup/pair-telegram.ts
```
## 2. Remove the setup step
Delete this entry from the `STEPS` map in `setup/index.ts` (skip if already gone):
```typescript
'pair-telegram': () => import('./pair-telegram.js'),
```
## 3. Remove credentials
Remove `TELEGRAM_BOT_TOKEN` from `.env`, then re-sync to the container:
```bash
mkdir -p data/env && cp .env data/env/env
```
## 4. Remove the package
```bash
pnpm uninstall @chat-adapter/telegram
```
## 5. Rebuild and restart
```bash
pnpm run build
source setup/lib/install-slug.sh
launchctl kickstart -k gui/$(id -u)/$(launchd_label) # macOS
# Linux: systemctl --user restart $(systemd_unit)
```
1. Comment out `import './telegram.js'` in `src/channels/index.ts`
2. Remove `TELEGRAM_BOT_TOKEN` from `.env`
3. `pnpm uninstall @chat-adapter/telegram`
4. Rebuild and restart
+3 -10
View File
@@ -16,7 +16,6 @@ NanoClaw doesn't ship channels in trunk. This skill copies the Telegram adapter,
Skip to **Credentials** if all of these are already in place:
- `src/channels/telegram.ts`, `telegram-pairing.ts`, `telegram-markdown-sanitize.ts` (and their `.test.ts` siblings) all exist
- `src/channels/telegram-registration.test.ts` exists
- `src/channels/index.ts` contains `import './telegram.js';`
- `setup/pair-telegram.ts` exists and `setup/index.ts`'s `STEPS` map contains `'pair-telegram':`
- `@chat-adapter/telegram` is listed in `package.json` dependencies
@@ -29,11 +28,10 @@ Otherwise continue. Every step below is safe to re-run.
git fetch origin channels
```
### 2. Copy the adapter, helpers, tests, registration test, and setup step
### 2. Copy the adapter, helpers, tests, and setup step
```bash
git show origin/channels:src/channels/telegram.ts > src/channels/telegram.ts
git show origin/channels:src/channels/telegram-registration.test.ts > src/channels/telegram-registration.test.ts
git show origin/channels:src/channels/telegram-pairing.ts > src/channels/telegram-pairing.ts
git show origin/channels:src/channels/telegram-pairing.test.ts > src/channels/telegram-pairing.test.ts
git show origin/channels:src/channels/telegram-markdown-sanitize.ts > src/channels/telegram-markdown-sanitize.ts
@@ -60,20 +58,15 @@ In `setup/index.ts`, add this entry to the `STEPS` map (right after the `registe
### 5. Install the adapter package (pinned)
```bash
pnpm install @chat-adapter/telegram@4.27.0
pnpm install @chat-adapter/telegram@4.26.0
```
### 6. Build and validate
### 6. Build
```bash
pnpm run build
pnpm exec vitest run src/channels/telegram-registration.test.ts
```
Both must be clean before proceeding. `telegram-registration.test.ts` is the one integration test: it imports the real channel barrel and asserts the registry contains `telegram`. It goes red if the `import './telegram.js';` line is deleted or drifts, if the barrel fails to evaluate, or if `@chat-adapter/telegram` isn't installed (the import throws) — so it also implicitly verifies the dependency from step 5. The adapter also calls core's `createChatSdkBridge(...)`; that typed core-API consumption is guarded by `pnpm run build`.
End-to-end message delivery against a real Telegram bot is verified manually once the service is running — see Next Steps and the pairing flow in Channel Info.
## Credentials
### Create Telegram Bot
+3
View File
@@ -0,0 +1,3 @@
# Verify Telegram
Send a message to your bot in Telegram (search for its username), or add the bot to a group and send a message there. The bot should respond within a few seconds.
-47
View File
@@ -1,47 +0,0 @@
# Remove Vercel
Every step is idempotent — safe to re-run. Steps delete the files and config the apply created.
## 1. Remove the container skill
Delete the copied container skill and its per-group session copies:
```bash
rm -rf container/skills/vercel-cli
for session_dir in data/v2-sessions/ag-*; do
rm -rf "$session_dir/.claude-shared/skills/vercel-cli"
done
```
## 2. Remove the dependency guard test
```bash
rm -f src/vercel-dockerfile.test.ts
```
## 3. Remove the OneCLI credential
Delete the Vercel secret and strip its id from every agent's assigned list. `set-secrets` replaces the whole list, so read, filter, and write back per agent:
```bash
VERCEL_SECRET_ID=$(onecli secrets list | jq -r '.data[] | select(.name | test("(?i)vercel")) | .id' | head -1)
if [ -n "$VERCEL_SECRET_ID" ]; then
for agent in $(onecli agents list | jq -r '.data[].id'); do
REMAINING=$(onecli agents secrets --id "$agent" | jq -r --arg id "$VERCEL_SECRET_ID" '[.data[] | select(. != $id)] | join(",")')
onecli agents set-secrets --id "$agent" --secret-ids "$REMAINING"
done
onecli secrets delete --id "$VERCEL_SECRET_ID"
fi
```
## 4. The Vercel CLI in the container image
The Vercel CLI ships with the agent image on the NanoClaw trunk (`ARG VERCEL_VERSION` and `pnpm install -g "vercel@${VERCEL_VERSION}"` in `container/Dockerfile`). Leave those lines — they are part of the base image, not added by this skill. No rebuild is needed.
## 5. Restart running containers
So sessions stop loading the removed `vercel-cli` skill on next wake:
```bash
docker ps --format "{{.ID}} {{.Names}}" | grep nanoclaw-v2 | awk '{print $1}' | xargs -r docker stop
```
+10 -23
View File
@@ -90,43 +90,30 @@ onecli secrets list | grep -i vercel
OneCLI uses selective secret mode — secrets must be explicitly assigned to each agent. Get the Vercel secret ID from the output above, then assign it to every agent:
```bash
# set-secrets replaces the entire list — read and merge for each agent.
VERCEL_SECRET_ID=$(onecli secrets list | jq -r '.data[] | select(.name | test("(?i)vercel")) | .id' | head -1)
for agent in $(onecli agents list | jq -r '.data[].id'); do
CURRENT=$(onecli agents secrets --id "$agent" | jq -r '[.data[]] | join(",")')
MERGED=$(printf '%s' "$CURRENT,$VERCEL_SECRET_ID" | tr ',' '\n' | sort -u | paste -sd ',' -)
onecli agents set-secrets --id "$agent" --secret-ids "$MERGED"
# For each agent, add the Vercel secret to its assigned secrets list.
# First get current assignments, then set them with the new secret appended.
VERCEL_SECRET_ID=$(onecli secrets list 2>/dev/null | grep -B2 "Vercel" | grep '"id"' | head -1 | sed 's/.*"id": "//;s/".*//')
for agent in $(onecli agents list 2>/dev/null | grep '"id"' | sed 's/.*"id": "//;s/".*//'); do
CURRENT=$(onecli agents secrets --id "$agent" 2>/dev/null | grep '"' | grep -v hint | grep -v data | sed 's/.*"//;s/".*//' | tr '\n' ',' | sed 's/,$//')
onecli agents set-secrets --id "$agent" --secret-ids "${CURRENT:+$CURRENT,}$VERCEL_SECRET_ID"
done
```
## Phase 4: Ensure Vercel CLI in Container Image
The Vercel CLI is installed globally in the agent image via `container/Dockerfile`. Check for both halves of the install — the pinned version arg and the install line:
Check if `vercel` is already in the Dockerfile:
```bash
grep -Eq '^ARG VERCEL_VERSION=' container/Dockerfile && \
grep -Eq 'pnpm install -g "?vercel@\$\{VERCEL_VERSION\}"?' container/Dockerfile && \
echo "PRESENT" || echo "MISSING"
grep -q 'vercel' container/Dockerfile && echo "PRESENT" || echo "MISSING"
```
If `MISSING`, add a pinned `ARG VERCEL_VERSION=52.2.1` near the other version args and a `pnpm install -g "vercel@${VERCEL_VERSION}"` step in the global-install block of `container/Dockerfile`, then rebuild the image:
If `MISSING`, add `vercel` to the global npm install line in `container/Dockerfile`, then rebuild:
```bash
./container/build.sh
```
If `PRESENT`, the CLI is already in the image — skip the rebuild.
## Phase 4b: Copy and Run the Dependency Guard
The Vercel CLI is a globally-installed binary — not importable or typed — so a structural test guards the Dockerfile install. Copy it into the host test tree and run it:
```bash
cp .claude/skills/add-vercel/vercel-dockerfile.test.ts src/vercel-dockerfile.test.ts
pnpm exec vitest run src/vercel-dockerfile.test.ts
```
The test parses `container/Dockerfile` and asserts both the `ARG VERCEL_VERSION=...` and the `pnpm install -g "vercel@${VERCEL_VERSION}"` line are present. It goes red if either is dropped or drifts.
If `PRESENT`, skip — no rebuild needed.
## Phase 5: Sync Skills to Running Agent Groups
@@ -1,40 +0,0 @@
/**
* Dependency guard for the Vercel CLI integration point (host tree, vitest).
*
* add-vercel installs the `vercel` CLI globally in the agent container image via
* `container/Dockerfile`. A globally-installed CLI binary is not importable or
* typed, so neither `tsc` nor a runtime import can catch its removal only the
* container image build would, and the skill's validate step does not rebuild the
* image in CI. This structural test stands in for that build leg: it parses the
* Dockerfile and asserts both halves of the install are present the pinned
* `ARG VERCEL_VERSION=...` and the `pnpm install -g "vercel@${VERCEL_VERSION}"`
* line. Drop or drift either and this goes red.
*/
import fs from 'fs';
import path from 'path';
import { describe, it, expect } from 'vitest';
function dockerfile(): string {
// Walk up from this test file to the repo root (the dir holding container/Dockerfile),
// so the test works wherever it is copied (src/ on the host, or the skill folder).
let dir = __dirname;
for (let i = 0; i < 8; i++) {
const candidate = path.join(dir, 'container', 'Dockerfile');
if (fs.existsSync(candidate)) return fs.readFileSync(candidate, 'utf8');
dir = path.dirname(dir);
}
throw new Error('container/Dockerfile not found walking up from ' + __dirname);
}
describe('container/Dockerfile installs the Vercel CLI', () => {
const text = dockerfile();
it('declares a pinned VERCEL_VERSION build arg', () => {
expect(text).toMatch(/^ARG\s+VERCEL_VERSION=\S+/m);
});
it('globally installs the pinned vercel package via pnpm', () => {
expect(text).toMatch(/pnpm install -g\s+"?vercel@\$\{VERCEL_VERSION\}"?/);
});
});
@@ -0,0 +1,148 @@
---
name: add-voice-transcription
description: Add voice message transcription to NanoClaw using OpenAI's Whisper API. Automatically transcribes WhatsApp voice notes so the agent can read and respond to them.
---
# Add Voice Transcription
This skill adds automatic voice message transcription to NanoClaw's WhatsApp channel using OpenAI's Whisper API. When a voice note arrives, it is downloaded, transcribed, and delivered to the agent as `[Voice: <transcript>]`.
## Phase 1: Pre-flight
### Check if already applied
Check if `src/transcription.ts` exists. If it does, skip to Phase 3 (Configure). The code changes are already in place.
### Ask the user
Use `AskUserQuestion` to collect information:
AskUserQuestion: Do you have an OpenAI API key for Whisper transcription?
If yes, collect it now. If no, direct them to create one at https://platform.openai.com/api-keys.
## Phase 2: Apply Code Changes
**Prerequisite:** WhatsApp must be installed first (`skill/whatsapp` merged). This skill modifies WhatsApp channel files.
### Ensure WhatsApp fork remote
```bash
git remote -v
```
If `whatsapp` is missing, add it:
```bash
git remote add whatsapp https://github.com/qwibitai/nanoclaw-whatsapp.git
```
### Merge the skill branch
```bash
git fetch whatsapp skill/voice-transcription
git merge whatsapp/skill/voice-transcription || {
git checkout --theirs pnpm-lock.yaml
git add pnpm-lock.yaml
git merge --continue
}
```
This merges in:
- `src/transcription.ts` (voice transcription module using OpenAI Whisper)
- Voice handling in `src/channels/whatsapp.ts` (isVoiceMessage check, transcribeAudioMessage call)
- Transcription tests in `src/channels/whatsapp.test.ts`
- `openai` npm dependency in `package.json`
- `OPENAI_API_KEY` in `.env.example`
If the merge reports conflicts, resolve them by reading the conflicted files and understanding the intent of both sides.
### Validate code changes
```bash
pnpm install
pnpm run build
pnpm exec vitest run src/channels/whatsapp.test.ts
```
All tests must pass and build must be clean before proceeding.
## Phase 3: Configure
### Get OpenAI API key (if needed)
If the user doesn't have an API key:
> I need you to create an OpenAI API key:
>
> 1. Go to https://platform.openai.com/api-keys
> 2. Click "Create new secret key"
> 3. Give it a name (e.g., "NanoClaw Transcription")
> 4. Copy the key (starts with `sk-`)
>
> Cost: ~$0.006 per minute of audio (~$0.003 per typical 30-second voice note)
Wait for the user to provide the key.
### Add to environment
Add to `.env`:
```bash
OPENAI_API_KEY=<their-key>
```
Sync to container environment:
```bash
mkdir -p data/env && cp .env data/env/env
```
The container reads environment from `data/env/env`, not `.env` directly.
### Build and restart
```bash
pnpm run build
launchctl kickstart -k gui/$(id -u)/com.nanoclaw # macOS
# Linux: systemctl --user restart nanoclaw
```
## Phase 4: Verify
### Test with a voice note
Tell the user:
> Send a voice note in any registered WhatsApp chat. The agent should receive it as `[Voice: <transcript>]` and respond to its content.
### Check logs if needed
```bash
tail -f logs/nanoclaw.log | grep -i voice
```
Look for:
- `Transcribed voice message` — successful transcription with character count
- `OPENAI_API_KEY not set` — key missing from `.env`
- `OpenAI transcription failed` — API error (check key validity, billing)
- `Failed to download audio message` — media download issue
## Troubleshooting
### Voice notes show "[Voice Message - transcription unavailable]"
1. Check `OPENAI_API_KEY` is set in `.env` AND synced to `data/env/env`
2. Verify key works: `curl -s https://api.openai.com/v1/models -H "Authorization: Bearer $OPENAI_API_KEY" | head -c 200`
3. Check OpenAI billing — Whisper requires a funded account
### Voice notes show "[Voice Message - transcription failed]"
Check logs for the specific error. Common causes:
- Network timeout — transient, will work on next message
- Invalid API key — regenerate at https://platform.openai.com/api-keys
- Rate limiting — wait and retry
### Agent doesn't respond to voice notes
Verify the chat is registered and the agent is running. Voice transcription only runs for registered groups.
+5 -39
View File
@@ -1,40 +1,6 @@
# Remove Webex
# Remove Webex Channel
Every step is idempotent — safe to re-run.
## 1. Remove the adapter
Delete the self-registration import from `src/channels/index.ts` (skip if already gone):
```typescript
import './webex.js';
```
Then delete the copied adapter and its registration test:
```bash
rm -f src/channels/webex.ts src/channels/webex-registration.test.ts
```
## 2. Remove credentials
Remove `WEBEX_BOT_TOKEN` and `WEBEX_WEBHOOK_SECRET` from `.env`, then re-sync to the container:
```bash
mkdir -p data/env && cp .env data/env/env
```
## 3. Remove the package
```bash
pnpm uninstall @bitbasti/chat-adapter-webex
```
## 4. Rebuild and restart
```bash
pnpm run build
source setup/lib/install-slug.sh
launchctl kickstart -k gui/$(id -u)/$(launchd_label) # macOS
# Linux: systemctl --user restart $(systemd_unit)
```
1. Comment out `import './webex.js'` in `src/channels/index.ts`
2. Remove `WEBEX_BOT_TOKEN` and `WEBEX_WEBHOOK_SECRET` from `.env`
3. `pnpm uninstall @bitbasti/chat-adapter-webex`
4. Rebuild and restart
+3 -10
View File
@@ -16,7 +16,6 @@ NanoClaw doesn't ship channels in trunk. This skill copies the Webex adapter in
Skip to **Credentials** if all of these are already in place:
- `src/channels/webex.ts` exists
- `src/channels/webex-registration.test.ts` exists
- `src/channels/index.ts` contains `import './webex.js';`
- `@bitbasti/chat-adapter-webex` is listed in `package.json` dependencies
@@ -28,11 +27,10 @@ Otherwise continue. Every step below is safe to re-run.
git fetch origin channels
```
### 2. Copy the adapter and its registration test
### 2. Copy the adapter
```bash
git show origin/channels:src/channels/webex.ts > src/channels/webex.ts
git show origin/channels:src/channels/webex-registration.test.ts > src/channels/webex-registration.test.ts
git show origin/channels:src/channels/webex.ts > src/channels/webex.ts
```
### 3. Append the self-registration import
@@ -49,17 +47,12 @@ import './webex.js';
pnpm install @bitbasti/chat-adapter-webex@0.1.0
```
### 5. Build and validate
### 5. Build
```bash
pnpm run build
pnpm exec vitest run src/channels/webex-registration.test.ts
```
Both must be clean before proceeding. `webex-registration.test.ts` is the one integration test: it imports the real channel barrel and asserts the registry contains `webex`. It goes red if the `import './webex.js';` line is deleted or drifts, if the barrel fails to evaluate, or if `@bitbasti/chat-adapter-webex` isn't installed (the import throws) — so it also implicitly verifies the dependency from step 4. The adapter also calls core's `createChatSdkBridge(...)`; that typed core-API consumption is guarded by `pnpm run build`.
End-to-end message delivery against a real Webex space is verified manually once the service is running — see Next Steps and the webhook setup above.
## Credentials
1. Go to [developer.webex.com](https://developer.webex.com/my-apps/new/bot) and create a new bot
+3
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@@ -0,0 +1,3 @@
# Verify Webex Channel
Add the bot to a Webex space or send it a direct message. The bot should respond within a few seconds.
-57
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@@ -1,57 +0,0 @@
# Remove WeChat Channel
Every step is idempotent — safe to re-run.
## 1. Remove the adapter
Delete the self-registration import from `src/channels/index.ts` (skip if already gone):
```typescript
import './wechat.js';
```
Then delete the copied adapter and its registration test:
```bash
rm -f src/channels/wechat.ts src/channels/wechat-registration.test.ts
```
## 2. Remove credentials
Remove `WECHAT_ENABLED` from `.env`, then re-sync to the container:
```bash
mkdir -p data/env && cp .env data/env/env
```
## 3. Remove the package
```bash
pnpm uninstall wechat-ilink-client
```
## 4. Remove saved auth + sync state
```bash
rm -rf data/wechat
```
## 5. Remove DB wiring
```sql
-- Remove any sessions first (foreign key)
DELETE FROM sessions WHERE messaging_group_id IN (SELECT id FROM messaging_groups WHERE channel_type = 'wechat');
DELETE FROM messaging_group_agents WHERE messaging_group_id IN (SELECT id FROM messaging_groups WHERE channel_type = 'wechat');
DELETE FROM messaging_groups WHERE channel_type = 'wechat';
```
## 6. Rebuild and restart
Run from your NanoClaw project root:
```bash
pnpm run build
source setup/lib/install-slug.sh
launchctl kickstart -k gui/$(id -u)/$(launchd_label) # macOS
# Linux: systemctl --user restart $(systemd_unit)
```
-180
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@@ -1,180 +0,0 @@
---
name: add-wechat
description: Add WeChat (personal) channel integration via Tencent's official iLink Bot API. Uses long-polling and QR scan — no webhook, no ToS risk, no paid token.
---
# Add WeChat Channel
Adds WeChat support via **iLink Bot API** — the first-party Tencent API for personal WeChat bots (different from WeCom / Official Account).
**Why this is different from wechaty/PadLocal:**
- Official Tencent API — no ToS violation, no ban risk
- Free — no PadLocal token required
- No public webhook URL needed — uses long-poll
- Works with any personal WeChat account
## Prerequisites
- A **personal WeChat account** with the mobile app installed
- A phone to scan the QR code for login
- Node.js >= 20 (already required by NanoClaw)
## Install
NanoClaw doesn't ship channels in trunk. This skill copies the WeChat adapter in from the `channels` branch.
### Pre-flight (idempotent)
Skip to **Credentials** if all of these are already in place:
- `src/channels/wechat.ts` exists
- `src/channels/wechat-registration.test.ts` exists
- `src/channels/index.ts` contains `import './wechat.js';`
- `wechat-ilink-client` is listed in `package.json` dependencies
Otherwise continue. Every step below is safe to re-run.
### 1. Fetch the channels branch
```bash
git fetch origin channels
```
### 2. Copy the adapter and its registration test
```bash
git show origin/channels:src/channels/wechat.ts > src/channels/wechat.ts
git show origin/channels:src/channels/wechat-registration.test.ts > src/channels/wechat-registration.test.ts
```
### 3. Append the self-registration import
Append to `src/channels/index.ts` (skip if the line is already present):
```typescript
import './wechat.js';
```
### 4. Install the library (pinned)
```bash
pnpm install wechat-ilink-client@0.1.0
```
### 5. Build and validate
```bash
pnpm run build
pnpm exec vitest run src/channels/wechat-registration.test.ts
```
Both must be clean before proceeding. `wechat-registration.test.ts` is the one integration test: it imports the real channel barrel and asserts the registry contains `wechat`. It goes red if the `import './wechat.js';` line is deleted or drifts, if the barrel fails to evaluate (so the channel genuinely would not register), or if `wechat-ilink-client` isn't installed (the import throws) — so it also implicitly verifies the dependency from step 4. Importing is safe: the adapter opens its long-poll connection only in `setup()` (at host startup), never at import.
End-to-end message delivery against a real WeChat account is verified manually once the service is running — see Credentials and Wire your first DM above.
## Credentials
Unlike most channels, WeChat requires **no pre-configured API keys**. Auth happens via QR code scan from your phone.
### 1. Enable the channel
Add to `.env`:
```bash
WECHAT_ENABLED=true
```
Sync to container: `mkdir -p data/env && cp .env data/env/env`
### 2. Start the service and scan the QR
Restart NanoClaw.
Run from your NanoClaw project root:
```bash
source setup/lib/install-slug.sh
systemctl --user restart $(systemd_unit) # Linux
# or
launchctl kickstart -k gui/$(id -u)/$(launchd_label) # macOS
```
The adapter will print a **QR URL** to the logs and save it to `data/wechat/qr.txt`:
```bash
tail -f logs/nanoclaw.log | grep WeChat
# or
cat data/wechat/qr.txt
```
Open the URL in a browser (it renders a QR code), then:
1. Open WeChat on your phone
2. Use its built-in QR scanner (top-right "+" → Scan)
3. Approve the authorization on your phone
4. Auth credentials are saved to `data/wechat/auth.json` — do not commit this file
The bot is now connected as your WeChat account.
## Wire your first DM
A successful QR login alone isn't enough — the adapter still needs to be wired to an agent group before it can respond.
### 1. Trigger the first inbound message
Have a different WeChat account send a message to the bot account. This auto-creates a `messaging_groups` row with the sender's `platform_id`.
### 2. Run the wire script
```bash
pnpm exec tsx .claude/skills/add-wechat/scripts/wire-dm.ts
```
Interactive flow: the script lists all unwired WeChat messaging groups, asks which agent group to wire it to, and creates the `messaging_group_agents` row with sensible defaults (sender policy `request_approval`, session mode `shared`).
With `request_approval`, the next DM from the stranger fires an approval card to the admin — admin taps Approve/Deny, approved users are added as members and their queued message replays through the agent.
Non-interactive:
```bash
pnpm exec tsx .claude/skills/add-wechat/scripts/wire-dm.ts \
--platform-id wechat:wxid_xxxxx \
--agent-group ag-xxxxx \
--non-interactive
```
Flags:
- `--platform-id <id>` — wire a specific messaging group (default: most recent unwired)
- `--agent-group <id>` — target agent group (default: prompt; or solo admin group in non-interactive)
- `--sender-policy public|strict|request_approval` — default `request_approval` (fires an admin approval card on unknown-sender DMs)
- `--session-mode shared|per-thread` — default `shared`
### 3. Test
Have the sender message the bot again — the agent should respond.
## Operational notes
- **Only one instance can use a given token at a time.** Don't run multiple NanoClaw instances pointing to the same `data/wechat/auth.json`.
- **Re-login on session expiry:** if you see `WeChat: session expired` in logs, delete `data/wechat/auth.json` and restart — you'll be asked to re-scan.
- **Sync cursor persistence:** `data/wechat/sync-buf.txt` holds the long-poll cursor. Deleting it replays recent history on next start; don't delete it in normal operation.
- **Account safety:** this uses the official Tencent API, so account bans for bot automation aren't a risk. That said, don't spam — normal rate limits still apply.
## Next Steps
If you're in the middle of `/setup`, return to the setup flow now.
Otherwise, restart the service to pick up the new channel and wiring.
## Channel Info
- **type**: `wechat`
- **terminology**: WeChat has "contacts" (DMs) and "group chats" (rooms). Each DM or group is a separate messaging group.
- **how-to-find-id**: Send a message to the bot from the target account; the adapter auto-creates a messaging group and logs `WeChat inbound platformId=wechat:<id>`. Use `wechat:<user_id>` for DMs, `wechat:<group_id>` for rooms.
- **admin-user-id**: The operator's WeChat user_id (for `init-first-agent.ts --admin-user-id`) is saved to `data/wechat/auth.json` as `operatorUserId` after the QR scan. Read it with `cat data/wechat/auth.json | jq -r .operatorUserId` and prefix with `wechat:` (i.e. `wechat:<operatorUserId>`).
- **supports-threads**: no (WeChat has no reply threads)
- **typical-use**: Long-poll — the adapter holds a persistent connection to Tencent's iLink API and receives messages in real time. No webhook URL needed.
- **default-isolation**: `shared` session mode per messaging group (DM or room). Use `strict` sender policy if you want only specific users to reach the agent; `public` opens it to anyone who messages the bot.
- **post-install-wiring**: Use the `wire-dm.ts` helper (see the "Wire your first DM" section above) if running this skill standalone. If running as part of `bash nanoclaw.sh`, `init-first-agent.ts` handles wiring — just pass the `platform-id` and `admin-user-id` captured above.
@@ -1,172 +0,0 @@
#!/usr/bin/env pnpm exec tsx
/**
* Wire a WeChat DM (or group) to an agent group.
*
* After /add-wechat installs the adapter and the user scans the QR login,
* the first inbound message from another WeChat account auto-creates a
* `messaging_groups` row. This script finds that row, asks the operator
* which agent group to wire it to, and inserts the `messaging_group_agents`
* join row with sensible defaults the "post-login wiring" step /add-wechat
* otherwise requires manual SQL for.
*
* Usage:
* pnpm exec tsx .claude/skills/add-wechat/scripts/wire-dm.ts
*
* Flags:
* --platform-id <id> Wire a specific messaging group (default: most recent unwired)
* --agent-group <id> Target agent group (default: interactive pick; or solo admin group)
* --sender-policy <p> public | strict (default: public)
* --session-mode <m> shared | per-thread (default: shared)
* --non-interactive Fail instead of prompting
*/
import Database from 'better-sqlite3';
import path from 'node:path';
import readline from 'node:readline';
const DB_PATH = process.env.NANOCLAW_DB_PATH ?? path.join(process.cwd(), 'data', 'v2.db');
type SenderPolicy = 'public' | 'strict' | 'request_approval';
interface Args {
platformId?: string;
agentGroupId?: string;
senderPolicy: SenderPolicy;
sessionMode: 'shared' | 'per-thread';
interactive: boolean;
}
function parseArgs(argv: string[]): Args {
const args: Args = {
// Default matches the router's auto-create (`request_approval`) so the
// admin gets an approval card on the next unknown-sender DM rather than
// a silent allow. Pass `--sender-policy public` to open the channel to
// anyone, or `strict` to require explicit membership.
senderPolicy: 'request_approval',
sessionMode: 'shared',
interactive: true,
};
for (let i = 0; i < argv.length; i++) {
const flag = argv[i];
const val = argv[i + 1];
switch (flag) {
case '--platform-id': args.platformId = val; i++; break;
case '--agent-group': args.agentGroupId = val; i++; break;
case '--sender-policy':
if (val !== 'public' && val !== 'strict' && val !== 'request_approval') {
throw new Error(`bad --sender-policy: ${val} (use public | strict | request_approval)`);
}
args.senderPolicy = val; i++; break;
case '--session-mode':
if (val !== 'shared' && val !== 'per-thread') throw new Error(`bad --session-mode: ${val}`);
args.sessionMode = val; i++; break;
case '--non-interactive': args.interactive = false; break;
case '--help': case '-h':
console.log('See .claude/skills/add-wechat/scripts/wire-dm.ts header for usage.');
process.exit(0);
}
}
return args;
}
async function prompt(q: string): Promise<string> {
const rl = readline.createInterface({ input: process.stdin, output: process.stdout });
return new Promise((resolve) => rl.question(q, (a) => { rl.close(); resolve(a.trim()); }));
}
function generateId(prefix: string): string {
return `${prefix}-${Date.now()}-${Math.random().toString(36).slice(2, 8)}`;
}
async function main(): Promise<void> {
const args = parseArgs(process.argv.slice(2));
const db = new Database(DB_PATH);
db.pragma('journal_mode = WAL');
// 1. Pick the messaging group
let platformId = args.platformId;
if (!platformId) {
const rows = db.prepare(`
SELECT mg.id, mg.platform_id, mg.name, mg.is_group, mg.created_at
FROM messaging_groups mg
LEFT JOIN messaging_group_agents mga ON mga.messaging_group_id = mg.id
WHERE mg.channel_type = 'wechat' AND mga.id IS NULL
ORDER BY mg.created_at DESC
`).all() as Array<{ id: string; platform_id: string; name: string | null; is_group: number; created_at: string }>;
if (rows.length === 0) {
console.error('No unwired WeChat messaging groups found.');
console.error('Send a message to the bot first (from another WeChat account), then re-run.');
process.exit(1);
}
if (rows.length === 1 || !args.interactive) {
platformId = rows[0].platform_id;
console.log(`Using most recent unwired group: ${platformId} (${rows[0].is_group ? 'group' : 'DM'})`);
} else {
console.log('Unwired WeChat messaging groups:');
rows.forEach((r, i) => {
console.log(` ${i + 1}. ${r.platform_id} (${r.is_group ? 'group' : 'DM'}, ${r.created_at})`);
});
const pick = await prompt('Pick one [1]: ');
const idx = pick === '' ? 0 : parseInt(pick, 10) - 1;
if (Number.isNaN(idx) || idx < 0 || idx >= rows.length) throw new Error('invalid choice');
platformId = rows[idx].platform_id;
}
}
const mg = db.prepare(
'SELECT id, platform_id, is_group FROM messaging_groups WHERE channel_type = ? AND platform_id = ?'
).get('wechat', platformId) as { id: string; platform_id: string; is_group: number } | undefined;
if (!mg) throw new Error(`no wechat messaging_group with platform_id = ${platformId}`);
// 2. Pick the agent group
let agentGroupId = args.agentGroupId;
if (!agentGroupId) {
const agents = db.prepare('SELECT id, name, is_admin FROM agent_groups ORDER BY is_admin DESC, created_at ASC')
.all() as Array<{ id: string; name: string; is_admin: number }>;
if (agents.length === 0) throw new Error('no agent groups exist — create one first');
const adminAgents = agents.filter((a) => a.is_admin === 1);
if (adminAgents.length === 1 && !args.interactive) {
agentGroupId = adminAgents[0].id;
console.log(`Auto-selected sole admin agent group: ${adminAgents[0].name} (${agentGroupId})`);
} else if (args.interactive) {
console.log('Agent groups:');
agents.forEach((a, i) => {
console.log(` ${i + 1}. ${a.name} (${a.id})${a.is_admin ? ' [admin]' : ''}`);
});
const pick = await prompt('Pick one [1]: ');
const idx = pick === '' ? 0 : parseInt(pick, 10) - 1;
if (Number.isNaN(idx) || idx < 0 || idx >= agents.length) throw new Error('invalid choice');
agentGroupId = agents[idx].id;
} else {
throw new Error('multiple agent groups exist; pass --agent-group <id>');
}
}
const ag = db.prepare('SELECT id, name FROM agent_groups WHERE id = ?').get(agentGroupId) as
{ id: string; name: string } | undefined;
if (!ag) throw new Error(`no agent_group with id = ${agentGroupId}`);
// 3. Update sender policy + wire
const tx = db.transaction(() => {
db.prepare('UPDATE messaging_groups SET unknown_sender_policy = ? WHERE id = ?')
.run(args.senderPolicy, mg.id);
db.prepare(`
INSERT INTO messaging_group_agents
(id, messaging_group_id, agent_group_id, trigger_rules, response_scope, session_mode, priority, created_at)
VALUES (?, ?, ?, '', 'all', ?, 10, datetime('now'))
`).run(generateId('mga'), mg.id, ag.id, args.sessionMode);
});
tx();
console.log('');
console.log(`WIRED platform_id=${mg.platform_id} agent_group=${ag.name} policy=${args.senderPolicy} mode=${args.sessionMode}`);
db.close();
}
main().catch((err) => {
console.error('FAILED:', err.message);
process.exit(1);
});
+4 -38
View File
@@ -1,40 +1,6 @@
# Remove WhatsApp Cloud API Channel
Every step is idempotent — safe to re-run.
## 1. Remove the adapter
Delete the self-registration import from `src/channels/index.ts` (skip if already gone):
```typescript
import './whatsapp-cloud.js';
```
Then delete the copied adapter and its registration test:
```bash
rm -f src/channels/whatsapp-cloud.ts src/channels/whatsapp-cloud-registration.test.ts
```
## 2. Remove credentials
Remove `WHATSAPP_ACCESS_TOKEN`, `WHATSAPP_PHONE_NUMBER_ID`, `WHATSAPP_APP_SECRET`, and `WHATSAPP_VERIFY_TOKEN` from `.env`, then re-sync to the container:
```bash
mkdir -p data/env && cp .env data/env/env
```
## 3. Remove the package
```bash
pnpm uninstall @chat-adapter/whatsapp
```
## 4. Rebuild and restart
```bash
pnpm run build
source setup/lib/install-slug.sh
launchctl kickstart -k gui/$(id -u)/$(launchd_label) # macOS
# Linux: systemctl --user restart $(systemd_unit)
```
1. Comment out `import './whatsapp-cloud.js'` in `src/channels/index.ts`
2. Remove `WHATSAPP_ACCESS_TOKEN`, `WHATSAPP_PHONE_NUMBER_ID`, `WHATSAPP_APP_SECRET`, `WHATSAPP_VERIFY_TOKEN` from `.env`
3. `pnpm uninstall @chat-adapter/whatsapp`
4. Rebuild and restart
+4 -11
View File
@@ -16,7 +16,6 @@ NanoClaw doesn't ship channels in trunk. This skill copies the WhatsApp Cloud ad
Skip to **Credentials** if all of these are already in place:
- `src/channels/whatsapp-cloud.ts` exists
- `src/channels/whatsapp-cloud-registration.test.ts` exists
- `src/channels/index.ts` contains `import './whatsapp-cloud.js';`
- `@chat-adapter/whatsapp` is listed in `package.json` dependencies
@@ -28,11 +27,10 @@ Otherwise continue. Every step below is safe to re-run.
git fetch origin channels
```
### 2. Copy the adapter and its registration test
### 2. Copy the adapter
```bash
git show origin/channels:src/channels/whatsapp-cloud.ts > src/channels/whatsapp-cloud.ts
git show origin/channels:src/channels/whatsapp-cloud-registration.test.ts > src/channels/whatsapp-cloud-registration.test.ts
git show origin/channels:src/channels/whatsapp-cloud.ts > src/channels/whatsapp-cloud.ts
```
### 3. Append the self-registration import
@@ -46,20 +44,15 @@ import './whatsapp-cloud.js';
### 4. Install the adapter package (pinned)
```bash
pnpm install @chat-adapter/whatsapp@4.27.0
pnpm install @chat-adapter/whatsapp@4.26.0
```
### 5. Build and validate
### 5. Build
```bash
pnpm run build
pnpm exec vitest run src/channels/whatsapp-cloud-registration.test.ts
```
Both must be clean before proceeding. `whatsapp-cloud-registration.test.ts` is the one integration test: it imports the real channel barrel and asserts the registry contains `whatsapp-cloud`. It goes red if the `import './whatsapp-cloud.js';` line is deleted or drifts, if the barrel fails to evaluate, or if `@chat-adapter/whatsapp` isn't installed (the import throws) — so it also implicitly verifies the dependency from step 4. The adapter also calls core's `createChatSdkBridge(...)`; that typed core-API consumption is guarded by `pnpm run build`.
End-to-end message delivery against a real WhatsApp Business number is verified manually once the service is running — see Next Steps and the webhook setup above.
## Credentials
1. Go to [Meta for Developers](https://developers.facebook.com/apps/) and create an app (type: Business).
@@ -0,0 +1,3 @@
# Verify WhatsApp Cloud API Channel
Send a message to your WhatsApp Business number. The bot should respond within a few seconds. Note: WhatsApp Cloud API only supports 1:1 DMs, not group chats.
-71
View File
@@ -1,71 +0,0 @@
# Remove WhatsApp
Every step is idempotent — safe to re-run.
## 1. Remove the adapter
Delete the self-registration import from `src/channels/index.ts` (skip if already gone):
```typescript
import './whatsapp.js';
```
Then delete the copied adapter, its registration test, and its unit test:
```bash
rm -f src/channels/whatsapp.ts src/channels/whatsapp-registration.test.ts src/channels/whatsapp.test.ts
```
## 2. Remove the setup steps
Delete these entries from the `STEPS` map in `setup/index.ts` (skip lines already gone):
```typescript
groups: () => import('./groups.js'),
'whatsapp-auth': () => import('./whatsapp-auth.js'),
```
> Keep `groups: ...` if another installed channel relies on the `groups` setup step. Only the `'whatsapp-auth':` entry is WhatsApp-specific.
Then delete the copied setup step files:
```bash
rm -f setup/whatsapp-auth.ts
```
> Keep `setup/groups.ts` if another installed channel relies on it.
## 3. Remove credentials
Remove `ASSISTANT_HAS_OWN_NUMBER` from `.env` (only present if a dedicated number was configured), then re-sync to the container:
```bash
mkdir -p data/env && cp .env data/env/env
```
## 4. Remove the packages
```bash
pnpm uninstall @whiskeysockets/baileys qrcode @types/qrcode pino
```
## 5. Rebuild and restart
```bash
pnpm run build
source setup/lib/install-slug.sh
launchctl kickstart -k gui/$(id -u)/$(launchd_label) # macOS
# Linux: systemctl --user restart $(systemd_unit)
```
## 6. Remove auth state (optional)
To fully remove the linked-device authentication and session state:
```bash
rm -rf store/auth/
```
> **Warning:** This unlinks the device. Re-installing WhatsApp requires re-pairing from your phone via QR or pairing code (see SKILL.md Credentials).
To keep the linked device for a later reinstall, leave `store/auth/` intact.
+18 -35
View File
@@ -16,13 +16,10 @@ NanoClaw doesn't ship channels in trunk. This skill copies the native WhatsApp (
Skip to **Credentials** if all of these are already in place:
- `src/channels/whatsapp.ts` exists
- `src/channels/whatsapp-registration.test.ts` exists
- `src/channels/whatsapp.test.ts` exists
- `src/channels/index.ts` contains `import './whatsapp.js';`
- `setup/whatsapp-auth.ts` and `setup/groups.ts` both exist
- `setup/index.ts`'s `STEPS` map contains both `'whatsapp-auth':` and `groups:`
- `@whiskeysockets/baileys`, `qrcode`, `pino` are listed in `package.json` dependencies
- `.claude/skills/add-whatsapp/scripts/wa-qr-browser.ts` exists (ships with this skill)
Otherwise continue. Every step below is safe to re-run.
@@ -35,11 +32,9 @@ git fetch origin channels
### 2. Copy the adapter and setup steps
```bash
git show origin/channels:src/channels/whatsapp.ts > src/channels/whatsapp.ts
git show origin/channels:src/channels/whatsapp-registration.test.ts > src/channels/whatsapp-registration.test.ts
git show origin/channels:src/channels/whatsapp.test.ts > src/channels/whatsapp.test.ts
git show origin/channels:setup/whatsapp-auth.ts > setup/whatsapp-auth.ts
git show origin/channels:setup/groups.ts > setup/groups.ts
git show origin/channels:src/channels/whatsapp.ts > src/channels/whatsapp.ts
git show origin/channels:setup/whatsapp-auth.ts > setup/whatsapp-auth.ts
git show origin/channels:setup/groups.ts > setup/groups.ts
```
### 3. Append the self-registration import
@@ -62,20 +57,15 @@ groups: () => import('./groups.js'),
### 5. Install the adapter packages (pinned)
```bash
pnpm install @whiskeysockets/baileys@7.0.0-rc.9 qrcode@1.5.4 @types/qrcode@1.5.6 pino@9.6.0
pnpm install @whiskeysockets/baileys@6.17.16 qrcode@1.5.4 @types/qrcode@1.5.6 pino@9.6.0
```
### 6. Build and validate
### 6. Build
```bash
pnpm run build
pnpm exec vitest run src/channels/whatsapp-registration.test.ts
```
Both must be clean before proceeding. `whatsapp-registration.test.ts` is the one integration test: it imports the real channel barrel and asserts the registry contains `whatsapp`. It goes red if the `import './whatsapp.js';` line is deleted or drifts, if the barrel fails to evaluate (so the channel genuinely would not register), or if `@whiskeysockets/baileys` isn't installed (the import throws) — so it also implicitly verifies the dependency from step 5.
End-to-end message delivery against a real WhatsApp number is verified manually once the service is running — see Credentials, Wiring, and Troubleshooting.
## Credentials
WhatsApp uses linked-device authentication — no API key, just a one-time pairing from your phone.
@@ -105,7 +95,7 @@ If IS_HEADLESS=true AND not WSL → AskUserQuestion: How do you want to authenti
- **QR code in terminal** - Displays QR code in the terminal (can be too small on some displays)
Otherwise (macOS, desktop Linux, or WSL) → AskUserQuestion: How do you want to authenticate WhatsApp?
- **QR code in browser** (Recommended) - Runs a small local HTTP server that renders the rotating QR as a PNG and auto-opens your default browser
- **QR code in browser** (Recommended) - Opens a browser window with a large, scannable QR code
- **Pairing code** - Enter a numeric code on your phone (no camera needed, requires phone number)
- **QR code in terminal** - Displays QR code in the terminal (can be too small on some displays)
@@ -124,13 +114,11 @@ rm -rf store/auth/
For QR code in browser (recommended):
```bash
pnpm exec tsx .claude/skills/add-whatsapp/scripts/wa-qr-browser.ts
pnpm exec tsx setup/index.ts --step whatsapp-auth -- --method qr-browser
```
(Bash timeout: 150000ms)
The wrapper spawns `setup/index.ts --step whatsapp-auth -- --method qr`, parses each rotating QR from its `WHATSAPP_AUTH_QR` status blocks, and serves the current QR as a PNG on a local HTTP server (default port `8765`, falls back to a free port). Flags: `--clean` (wipes `store/auth/` before spawning) and `--port N`.
Tell the user:
> A browser window will open with a QR code.
@@ -142,13 +130,11 @@ Tell the user:
For QR code in terminal:
```bash
pnpm exec tsx setup/index.ts --step whatsapp-auth -- --method qr
pnpm exec tsx setup/index.ts --step whatsapp-auth -- --method qr-terminal
```
(Bash timeout: 150000ms)
The setup driver emits each rotating QR as a `WHATSAPP_AUTH_QR` status block; when run directly (not through `setup:auto`) the raw QR string is printed and your terminal must render it as ASCII. If your terminal can't render it readably, use the browser method above.
Tell the user:
> 1. Open WhatsApp > **Settings** > **Linked Devices** > **Link a Device**
@@ -214,7 +200,7 @@ Otherwise, run `/manage-channels` to wire this channel to an agent group.
- **type**: `whatsapp`
- **terminology**: WhatsApp calls them "groups" and "chats." A "chat" is a 1:1 DM; a "group" has multiple members.
- **how-to-find-id**: DMs use `<phone>@s.whatsapp.net` (e.g. `14155551234@s.whatsapp.net`). Groups use `<id>@g.us`. To find your number: `node -e "const c=JSON.parse(require('fs').readFileSync('store/auth/creds.json','utf-8'));console.log(c.me?.id?.split(':')[0]+'@s.whatsapp.net')"`. Groups are auto-discovered — check `pnpm exec tsx scripts/q.ts data/v2.db "SELECT platform_id, name FROM messaging_groups WHERE channel_type='whatsapp' AND is_group=1"`.
- **how-to-find-id**: DMs use `<phone>@s.whatsapp.net` (e.g. `14155551234@s.whatsapp.net`). Groups use `<id>@g.us`. To find your number: `node -e "const c=JSON.parse(require('fs').readFileSync('store/auth/creds.json','utf-8'));console.log(c.me?.id?.split(':')[0]+'@s.whatsapp.net')"`. Groups are auto-discovered — check `sqlite3 data/v2.db "SELECT platform_id, name FROM messaging_groups WHERE channel_type='whatsapp' AND is_group=1"`.
- **supports-threads**: no
- **typical-use**: Interactive chat — direct messages or small groups
- **default-isolation**: Same agent group if you're the only participant across multiple chats. Separate agent group if different people are in different groups.
@@ -234,10 +220,10 @@ Not supported (WhatsApp linked device limitation): edit messages, delete message
### QR code expired
QR codes expire after ~60 seconds. The browser wrapper rotates automatically as long as it's running; if it was stopped, re-run with `--clean`:
QR codes expire after ~60 seconds. Re-run the auth command:
```bash
pnpm exec tsx .claude/skills/add-whatsapp/scripts/wa-qr-browser.ts --clean
rm -rf store/auth/ && pnpm exec tsx setup/index.ts --step whatsapp-auth -- --method qr-browser
```
### Pairing code not working
@@ -250,31 +236,28 @@ rm -rf store/auth/ && pnpm exec tsx setup/index.ts --step whatsapp-auth -- --met
Ensure: digits only (no `+`), phone has internet, WhatsApp is updated.
WhatsApp's pairing-code flow occasionally rejects valid codes with "Couldn't link device — An error happened. Please try again." This is a server-side rejection unrelated to the code itself; we've seen it happen twice in a row on fresh dedicated numbers. If you hit it more than once, switch to QR-browser auth — it has a noticeably higher success rate:
If pairing code keeps failing, switch to QR-browser auth instead:
```bash
pnpm exec tsx .claude/skills/add-whatsapp/scripts/wa-qr-browser.ts --clean
rm -rf store/auth/ && pnpm exec tsx setup/index.ts --step whatsapp-auth -- --method qr-browser
```
### "waiting for this message" on reactions
Signal sessions corrupted from rapid restarts. Clear sessions.
Run from your NanoClaw project root:
Signal sessions corrupted from rapid restarts. Clear sessions:
```bash
source setup/lib/install-slug.sh
systemctl --user stop $(systemd_unit)
systemctl --user stop nanoclaw
rm store/auth/session-*.json
systemctl --user start $(systemd_unit)
systemctl --user start nanoclaw
```
### Bot not responding
1. Auth exists: `test -f store/auth/creds.json`
2. Connected: `grep "Connected to WhatsApp" logs/nanoclaw.log | tail -1`
3. Channel wired: `pnpm exec tsx scripts/q.ts data/v2.db "SELECT mg.platform_id, mg.name FROM messaging_groups mg JOIN messaging_group_agents mga ON mg.id=mga.messaging_group_id WHERE mg.channel_type='whatsapp'"`
4. Service running: `systemctl --user status "$(. setup/lib/install-slug.sh && systemd_unit)"`
3. Channel wired: `sqlite3 data/v2.db "SELECT mg.platform_id, mg.name FROM messaging_groups mg JOIN messaging_group_agents mga ON mg.id=mga.messaging_group_id WHERE mg.channel_type='whatsapp'"`
4. Service running: `systemctl --user status nanoclaw`
### "conflict" disconnection
@@ -1,246 +0,0 @@
/**
* scripts/wa-qr-browser.ts serve WhatsApp pairing QR in the browser.
*
* Wraps `setup/index.ts --step whatsapp-auth -- --method qr` and renders the
* rotating QR string as a PNG in a small local HTTP page. Avoids the unreadable
* ASCII terminal QR. macOS / desktop-Linux only no headless support needed.
*
* Usage:
* pnpm exec tsx scripts/wa-qr-browser.ts [--clean] [--port 8765]
*
* --clean rm -rf store/auth/ before spawning the auth step.
* --port N bind to port N (default 8765, falls back to a free port).
*/
import { spawn, exec } from 'node:child_process';
import http from 'node:http';
import fs from 'node:fs';
import path from 'node:path';
import QRCode from 'qrcode';
type Status = 'waiting' | 'ready' | 'success' | 'failed';
type State = {
qr: string | null;
status: Status;
error?: string;
version: number;
};
const state: State = { qr: null, status: 'waiting', version: 0 };
const args = process.argv.slice(2);
const clean = args.includes('--clean');
const portIdx = args.indexOf('--port');
const requestedPort = portIdx >= 0 ? Number(args[portIdx + 1]) : 8765;
if (clean) {
fs.rmSync(path.join(process.cwd(), 'store', 'auth'), {
recursive: true,
force: true,
});
console.log('[wa-qr-browser] cleaned store/auth/');
}
function htmlPage(): string {
return `<!doctype html>
<html lang="en">
<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width,initial-scale=1" />
<title>WhatsApp pairing</title>
<style>
body { margin: 0; min-height: 100vh; display: grid; place-items: center;
font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", sans-serif;
background: #0b141a; color: #e9edef; }
.card { background: #202c33; padding: 32px 40px; border-radius: 16px;
box-shadow: 0 12px 36px rgba(0,0,0,0.4); text-align: center;
min-width: 420px; }
h1 { font-size: 18px; font-weight: 500; margin: 0 0 20px; color: #aebac1; }
.qr-wrap { background: white; padding: 16px; border-radius: 12px;
display: inline-block; }
#qr { width: 360px; height: 360px; display: block; image-rendering: pixelated; }
#status { margin-top: 20px; font-size: 14px; color: #8696a0; min-height: 20px; }
#status.ok { color: #00d26a; font-size: 18px; font-weight: 500; }
#status.err { color: #ff6b6b; }
ol { text-align: left; color: #aebac1; font-size: 13px; line-height: 1.8;
margin: 20px 0 0; padding-left: 20px; }
</style>
</head>
<body>
<div class="card">
<h1>Scan with WhatsApp</h1>
<div class="qr-wrap"><img id="qr" alt="QR code" /></div>
<div id="status">Waiting for QR</div>
<ol>
<li>Open WhatsApp on your phone</li>
<li>Settings &rarr; Linked Devices &rarr; Link a Device</li>
<li>Point the camera at this QR code</li>
</ol>
</div>
<script>
let lastVersion = -1;
const qr = document.getElementById('qr');
const status = document.getElementById('status');
async function tick() {
try {
const r = await fetch('/qr.json', { cache: 'no-store' });
const s = await r.json();
if (s.status === 'success') {
qr.style.display = 'none';
status.className = 'ok';
status.textContent = '✓ Authenticated!';
return;
}
if (s.status === 'failed') {
qr.style.display = 'none';
status.className = 'err';
status.textContent = '✗ ' + (s.error || 'failed');
return;
}
if (s.qr && s.version !== lastVersion) {
lastVersion = s.version;
qr.src = '/qr.png?v=' + s.version;
status.textContent = 'QR ready — scan within ~20s';
}
} catch (e) { /* server closing, ignore */ }
setTimeout(tick, 1500);
}
tick();
</script>
</body>
</html>`;
}
const server = http.createServer(async (req, res) => {
const url = req.url ?? '/';
if (url === '/' || url.startsWith('/?')) {
res.setHeader('content-type', 'text/html; charset=utf-8');
res.end(htmlPage());
return;
}
if (url === '/qr.json') {
res.setHeader('content-type', 'application/json');
res.setHeader('cache-control', 'no-store');
res.end(JSON.stringify(state));
return;
}
if (url.startsWith('/qr.png')) {
if (!state.qr) {
res.statusCode = 404;
res.end();
return;
}
try {
const buf = await QRCode.toBuffer(state.qr, { width: 360, margin: 1 });
res.setHeader('content-type', 'image/png');
res.setHeader('cache-control', 'no-store');
res.end(buf);
} catch (e) {
res.statusCode = 500;
res.end(String(e));
}
return;
}
res.statusCode = 404;
res.end();
});
function listen(port: number): Promise<number> {
return new Promise((resolve, reject) => {
server.once('error', (err: NodeJS.ErrnoException) => {
if (err.code === 'EADDRINUSE' && port === requestedPort) {
server.listen(0, () => {
const addr = server.address();
if (addr && typeof addr === 'object') resolve(addr.port);
else reject(new Error('unexpected address'));
});
} else {
reject(err);
}
});
server.listen(port, () => {
const addr = server.address();
if (addr && typeof addr === 'object') resolve(addr.port);
else reject(new Error('unexpected address'));
});
});
}
const port = await listen(requestedPort);
const url = `http://localhost:${port}`;
console.log(`[wa-qr-browser] QR server on ${url}`);
const opener = process.platform === 'darwin' ? 'open' : 'xdg-open';
exec(`${opener} ${url}`, (err) => {
if (err) console.log(`[wa-qr-browser] could not auto-open browser: ${err.message}`);
else console.log('[wa-qr-browser] opening browser…');
});
const child = spawn(
'pnpm',
['exec', 'tsx', 'setup/index.ts', '--step', 'whatsapp-auth', '--', '--method', 'qr'],
{ stdio: ['inherit', 'pipe', 'inherit'] },
);
let stdoutBuf = '';
child.stdout.on('data', (chunk: Buffer) => {
const text = chunk.toString();
process.stdout.write(text);
stdoutBuf += text;
const blockRe = /=== NANOCLAW SETUP: (\w+) ===\n([\s\S]*?)\n=== END ===/g;
let m: RegExpExecArray | null;
let lastEnd = 0;
while ((m = blockRe.exec(stdoutBuf)) !== null) {
const [, name, body] = m;
const fields: Record<string, string> = {};
for (const line of body.split('\n')) {
const kv = line.match(/^(\w+):\s*(.*)$/);
if (kv) fields[kv[1]] = kv[2];
}
handleBlock(name, fields);
lastEnd = m.index + m[0].length;
}
if (lastEnd > 0) stdoutBuf = stdoutBuf.slice(lastEnd);
});
function handleBlock(name: string, fields: Record<string, string>): void {
if (name === 'WHATSAPP_AUTH_QR' && fields.QR) {
state.qr = fields.QR;
state.status = 'ready';
state.version++;
return;
}
if (name === 'WHATSAPP_AUTH') {
if (fields.STATUS === 'success') {
state.status = 'success';
console.log('[wa-qr-browser] authenticated');
setTimeout(() => server.close(() => process.exit(0)), 3000);
} else if (fields.STATUS === 'skipped') {
state.status = 'success';
state.error = `already authenticated (${fields.REASON ?? 'unknown'})`;
console.log(`[wa-qr-browser] ${state.error}`);
setTimeout(() => server.close(() => process.exit(0)), 3000);
} else if (fields.STATUS === 'failed') {
state.status = 'failed';
state.error = fields.ERROR ?? 'unknown error';
console.error(`[wa-qr-browser] failed: ${state.error}`);
}
}
}
child.on('exit', (code) => {
if (state.status === 'success') return;
if (state.status !== 'failed') {
state.status = 'failed';
state.error = `auth process exited (code=${code ?? 'null'})`;
}
setTimeout(() => {
server.close(() => process.exit(1));
}, 3000);
});
process.on('SIGINT', () => {
console.log('\n[wa-qr-browser] aborting…');
child.kill('SIGTERM');
server.close(() => process.exit(130));
});

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