Borrowing it
Nothing to install: this file belongs to taslim/nanoclaw-gws-ea. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/taslim/nanoclaw-gws-ea/main/.claude/skills/add-wechat/SKILL.mdgit clone --depth 1 https://github.com/taslim/nanoclaw-gws-eaWrote 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/taslim/nanoclaw-gws-ea/add-wechat)<a href="https://agentmods.dev/skills/taslim/nanoclaw-gws-ea/add-wechat"><img src="https://agentmods.dev/badge/skills/taslim/nanoclaw-gws-ea/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/taslim/nanoclaw-gws-ea/add-wechat"><img src="https://agentmods.dev/badge/skills/taslim/nanoclaw-gws-ea/add-wechat.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.01635 |
| Opus 5 | $0.00021 | $0.00817 |
| Sonnet 5 | $0.00008 | $0.00327 |
| Haiku 4.5 | $0.00004 | $0.00163 |
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 11d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- add-wechat — 100% identical, 9 lines differ
How it starts
The opening of the file, as written. The whole thing — 174 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.
Pre-flight (idempotent)
Skip to Credentials if all of these are already in place:
src/channels/wechat.tsexistssrc/channels/index.tscontainsimport './wechat.js';wechat-ilink-clientis listed inpackage.jsondependencies
Otherwise continue. Every step below is safe to re-run.
1. Fetch the channels branch
git fetch origin channels
2. Copy the adapter
git show origin/channels:src/channels/wechat.ts > src/channels/wechat.ts
3. Append the self-registration import
Append to src/channels/index.ts (skip if the line is already present):
import './wechat.js';
4. Install the library (pinned)
pnpm install [email protected]
5. Build
pnpm run build
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:
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:
source setup/lib/install-slug.sh
systemctl --user restart $(systemd_unit) # Linux
# or
launchctl kickstart -k gui/$(id -u)/$(launchd_label) # macOS
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.
- 11d ago First seen · 174 lines · 42 tokens per session scan A 04f71bfca429
add-wechat is a skill published in the GitHub repository taslim/nanoclaw-gws-ea (11 stars, last pushed 3mo ago), licensed MIT. It adds 42 tokens to every session and 1,635 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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