NanoClaw is an AI assistant that runs agents inside separate Linux containers, isolating their files and execution environments. People use it to connect agents to messaging services and run assistants with memory and scheduled jobs. The catalogue contains skills and instructions for extending or operating NanoClaw.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add nanocoai/nanoclaw --skill add-wechatgit clone --depth 1 https://github.com/nanocoai/nanoclawWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/nanocoai/nanoclaw/add-wechat)<a href="https://agentmods.dev/skills/nanocoai/nanoclaw/add-wechat"><img src="https://agentmods.dev/badge/skills/nanocoai/nanoclaw/add-wechat/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/nanocoai/nanoclaw/add-wechat"><img src="https://agentmods.dev/badge/skills/nanocoai/nanoclaw/add-wechat.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk warn
- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00042 | $0.01872 |
| Opus 5 | $0.00021 | $0.00936 |
| Sonnet 5 | $0.00008 | $0.00374 |
| Haiku 4.5 | $0.00004 | $0.00187 |
Grade A, and why
add-wechat scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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.
1. Copy the adapter and its registration test
Fetch the channels branch from the configured remote that carries it, then
overwrite the skill-owned files with the canonical registry copies:
src/channels/wechat.ts
src/channels/wechat-registration.test.ts
2. Append the self-registration import
Append to src/channels/index.ts (skip if the line is already present):
import './wechat.js';
3. Install the library (pinned)
[email protected]
4. Build and validate
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.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 176 lines · 42 tokens per session scan A 2b6d2d0a7708
add-wechat is a skill published in the GitHub repository nanocoai/nanoclaw (30,727 stars, last pushed today), licensed MIT. It adds 42 tokens to every session and 1,872 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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