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 chestnutzoe/chestnut-copy-skill --skill chestnut-wechat-publishergit clone --depth 1 https://github.com/chestnutzoe/chestnut-copy-skillWrote 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/chestnutzoe/chestnut-copy-skill/chestnut-wechat-publisher)<a href="https://agentmods.dev/skills/chestnutzoe/chestnut-copy-skill/chestnut-wechat-publisher"><img src="https://agentmods.dev/badge/skills/chestnutzoe/chestnut-copy-skill/chestnut-wechat-publisher/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/chestnutzoe/chestnut-copy-skill/chestnut-wechat-publisher"><img src="https://agentmods.dev/badge/skills/chestnutzoe/chestnut-copy-skill/chestnut-wechat-publisher.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 | $0.00050 | $0.01020 |
| Opus 5 | $0.00025 | $0.00510 |
| Sonnet 5 | $0.00010 | $0.00204 |
| Haiku 4.5 | $0.00005 | $0.00102 |
Grade A, and why
chestnut-wechat-publisher 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 12d 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.
curl -s https://api.ipify.org How it starts
The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
公众号发布
Purpose
This skill prepares and uploads approved local articles to the WeChat Official Account draft box.
It answers one question:
这篇文章怎么落地到公众号后台？
It is a publishing helper, not a writing skill. Use it after the draft, title, and direction are already approved.
Boundary
Default behavior:
- create draft only,
- no automatic publish,
- no mass send,
- no scheduled send,
- final backend review stays with the user.
Always remind the user to inspect title, digest, cover, formatting, images, links, and typos in the WeChat backend before publishing.
Credential Setup
Use persistent local credentials by default. The script reads:
WECHAT_MP_ENV_FILE./.env./.secrets/wechat-mp.env- the same files inside this skill directory
~/.wechat-mp.env
Existing environment variables win over file values.
Never commit AppID, AppSecret, access tokens, article JSON, or private generated drafts.
API Preflight
Before any live WeChat API call, check whether the user has already configured the local WeChat API setup.
If WECHAT_MP_APPID and WECHAT_MP_APPSECRET are missing from environment variables and the known env files, ask first:
你本机已经配置公众号 API 了吗？
需要有 WECHAT_MP_APPID 和 WECHAT_MP_APPSECRET。
如果还没有，请先在本地创建 .secrets/wechat-mp.env；不要把 AppSecret 发到聊天里。
If the user has credentials but has not confirmed the current machine IP is in the WeChat Official Account IP whitelist, ask them to do the IP whitelist step before running a real upload.
Only proceed to publish_draft.py when:
- AppID/AppSecret are available locally, and
- the current public IP is confirmed in the WeChat API whitelist, and
- the user has approved creating a draft.
First Live API Check
Before a real WeChat API call from a new network, get the current IP:
curl -s https://api.ipify.org
Tell the user to add it in:
公众号后台 -> 设置与开发 -> 基本设置 -> IP 白名单
If the API returns 40164, the current IP is not allowlisted.
Read references/wechat-api.md when endpoint details or WeChat errors matter.
What ships with it
3 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.
- 12d ago First seen · 151 lines · 50 tokens per session scan A 1b96b6af4099
chestnut-wechat-publisher is a skill published in the GitHub repository chestnutzoe/chestnut-copy-skill (7 stars, last pushed 2mo ago), licensed MIT. It adds 50 tokens to every session and 1,020 once invoked, about $0.0003 per session on Opus 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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