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 Xueheng-Li/openclaw-wechat --skill wecom-notifygit clone --depth 1 https://github.com/Xueheng-Li/openclaw-wechatWrote 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/xueheng-li/openclaw-wechat/wecom-notify)<a href="https://agentmods.dev/skills/xueheng-li/openclaw-wechat/wecom-notify"><img src="https://agentmods.dev/badge/skills/xueheng-li/openclaw-wechat/wecom-notify/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/xueheng-li/openclaw-wechat/wecom-notify"><img src="https://agentmods.dev/badge/skills/xueheng-li/openclaw-wechat/wecom-notify.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk 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 | $0.00084 | $0.00410 |
| Opus 5.5 | $0.00034 | $0.00164 |
| Sonnet 5.5 | $0.00017 | $0.00082 |
| Haiku 4.5 | $0.00008 | $0.00041 |
Grade A, and why
wecom-notify scanned grade A with 1 finding 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 2mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- The script uses only Python stdlib (`urllib.request`, `json`, `mimetypes`, `uuid`) — no pip dependencies What it actually says
WeCom Notify
Send text, image, or file messages to WeCom (企业微信) using scripts/send_wecom.py.
Usage
# Text message
python3 scripts/send_wecom.py "消息内容"
python3 scripts/send_wecom.py "消息内容" --to LiXueHeng
# Image message
python3 scripts/send_wecom.py --image /path/to/photo.png
python3 scripts/send_wecom.py --image /path/to/chart.jpg --to @all
# File message
python3 scripts/send_wecom.py --file /path/to/report.pdf
python3 scripts/send_wecom.py --file /path/to/data.xlsx --to LiXueHeng
Default recipient: LiXueHeng. Config is read from ~/.openclaw/openclaw.json (env.vars section).
Notes
- Requires proxy (
WECOM_PROXYin config) — API calls route through Guangzhou VPS tinyproxy at10.147.17.105:8888via ZeroTier - WeCom text messages have a 2048-byte limit (~680 Chinese characters). For longer messages, split into multiple sends
- Image upload supports: jpg, png, gif (max 2MB for image type)
- File upload supports: any format (max 20MB)
- Uploaded media is temporary (3 days validity on WeCom servers)
- The script uses only Python stdlib (
urllib.request,json,mimetypes,uuid) — no pip dependencies
What ships with it
1 file 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.
- 2mo ago First seen · 36 lines · 84 tokens per session scan A ad149c2d45ca
wecom-notify is a skill published in the GitHub repository Xueheng-Li/openclaw-wechat (152 stars, last pushed 7mo ago), licensed MIT. It adds 84 tokens to every session and 410 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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