Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/guanyang/open-agent-hubnpx agentmods add skills/guanyang/open-agent-hub/baoyu-post-to-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/guanyang/open-agent-hub/baoyu-post-to-wechat)<a href="https://agentmods.dev/skills/guanyang/open-agent-hub/baoyu-post-to-wechat"><img src="https://agentmods.dev/badge/skills/guanyang/open-agent-hub/baoyu-post-to-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/guanyang/open-agent-hub/baoyu-post-to-wechat"><img src="https://agentmods.dev/badge/skills/guanyang/open-agent-hub/baoyu-post-to-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 | $0.00101 | $0.03808 |
| Opus 5 | $0.00051 | $0.01904 |
| Sonnet 5 | $0.00020 | $0.00762 |
| Haiku 4.5 | $0.00010 | $0.00381 |
Grade C, and why
baoyu-post-to-wechat scanned grade C 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.
Reaches for credential fileshighPrivilege escalation
SSH keys, cloud credentials, git-credentials, .npmrc, /etc/shadow: reading these is how a config file becomes a credential leak.
# remote_publish_identity_file: ~/.ssh/id_ed25519 This is a copy
100% identical to baoyu-post-to-wechat — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 299 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Post to WeChat Official Account
User Input Tools
When this skill prompts the user, follow this tool-selection rule (priority order):
- Prefer built-in user-input tools exposed by the current agent runtime — e.g.,
AskUserQuestion,request_user_input,clarify,ask_user, or any equivalent. - Fallback: if no such tool exists, emit a numbered plain-text message and ask the user to reply with the chosen number/answer for each question.
- Batching: if the tool supports multiple questions per call, combine all applicable questions into a single call; if only single-question, ask them one at a time in priority order.
Concrete AskUserQuestion references below are examples — substitute the local equivalent in other runtimes.
Language
Respond in the user's language. If they write in Chinese, reply in Chinese; if English, English. Keep technical tokens (paths, flags, field names) in English.
Script Directory
{baseDir} = this SKILL.md's directory. Resolve ${BUN_X}: prefer bun; else npx -y bun; else suggest brew install oven-sh/bun/bun.
| Script | Purpose |
|---|---|
scripts/wechat-browser.ts |
Image-text posts (图文) |
scripts/wechat-article.ts |
Article posting via browser (文章) |
scripts/wechat-api.ts |
Article posting via API (文章) |
scripts/md-to-wechat.ts |
Markdown → WeChat-ready HTML with image placeholders |
scripts/check-permissions.ts |
Verify environment & permissions |
Preferences (EXTEND.md)
Check these paths in order; first hit wins:
| Path | Scope |
|---|---|
.baoyu-skills/baoyu-post-to-wechat/EXTEND.md |
Project |
${XDG_CONFIG_HOME:-$HOME/.config}/baoyu-skills/baoyu-post-to-wechat/EXTEND.md |
XDG |
$HOME/.baoyu-skills/baoyu-post-to-wechat/EXTEND.md |
User home |
Found → read, parse, apply. Not found → run first-time setup (references/config/first-time-setup.md) before anything else.
Minimum keys (case-insensitive, accept 1/0 or true/false):
| Key | Default | Mapping |
|---|---|---|
default_author |
empty | Fallback for author when CLI/frontmatter not provided |
need_open_comment |
1 |
articles[].need_open_comment in draft/add |
only_fans_can_comment |
0 |
articles[].only_fans_can_comment in draft/add |
What ships with it
28 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.
- references/api-setup.md 1.2 KB
- references/article-posting.md 2.5 KB
- references/config/first-time-setup.md 6.2 KB
- references/image-text-posting.md 2.8 KB
- references/multi-account.md 5.7 KB
- scripts/bun.lock 38 KB
- scripts/cdp.ts 8.2 KB runs code
- scripts/check-permissions.ts 8.6 KB runs code
- scripts/copy-to-clipboard-mac.test.ts 916 B runs code
- scripts/copy-to-clipboard.ts 14 KB runs code
- scripts/md-to-wechat.ts 5.7 KB runs code
- scripts/package.json 244 B
- scripts/paste-from-clipboard.ts 5.5 KB runs code
- scripts/wechat-agent-browser.ts 11 KB runs code
- scripts/wechat-api.ts 30 KB runs code
- scripts/wechat-article-focus.test.ts 2.7 KB runs code
- scripts/wechat-article.ts 48 KB runs code
- scripts/wechat-browser.ts 28 KB runs code
- scripts/wechat-extend-config.test.ts 9.8 KB runs code
- scripts/wechat-extend-config.ts 14 KB runs code
- scripts/wechat-http.test.ts 5.0 KB runs code
- scripts/wechat-http.ts 2.6 KB runs code
- scripts/wechat-image-loader.ts 2.5 KB runs code
- scripts/wechat-image-processor.ts 8.3 KB runs code
- scripts/wechat-remote-publish.test.ts 5.5 KB runs code
- scripts/wechat-remote-publish.ts 7.8 KB runs code
- scripts/wechat-socks-http.test.ts 6.7 KB runs code
- scripts/wechat-socks-http.ts 6.8 KB runs code
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 · 299 lines · 101 tokens per session scan C e15f1b5a51b8
baoyu-post-to-wechat is a skill published in the GitHub repository guanyang/open-agent-hub (965 stars, last pushed yesterday), licensed MIT. It adds 101 tokens to every session and 3,808 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it C with 1 finding (reaches for credential files). It is 100% identical to baoyu-post-to-wechat, differing in 0 lines, and is treated as a copy.
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