baoyu-skills is a collection of reusable skills that give AI coding agents instructions for tasks such as preparing and publishing content. It supports agents including Claude Code, Codex, and OpenClaw, with users installing only the workflows they need. The catalogue contains selected skills from this collection.
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/JimLiu/baoyu-skillsnpx agentmods add skills/jimliu/baoyu-skills/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/jimliu/baoyu-skills/baoyu-post-to-wechat)<a href="https://agentmods.dev/skills/jimliu/baoyu-skills/baoyu-post-to-wechat"><img src="https://agentmods.dev/badge/skills/jimliu/baoyu-skills/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/jimliu/baoyu-skills/baoyu-post-to-wechat"><img src="https://agentmods.dev/badge/skills/jimliu/baoyu-skills/baoyu-post-to-wechat.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket fail
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 5 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 78 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 79 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 274 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- medium MCP Rug Pull · line 32 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium Data Exfiltration · line 212 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 13d 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 Copies of this mod
3 near-identical copies found in the catalogue:
- baoyu-post-to-wechat — 100% identical, 0 lines differ
- baoyu-post-to-wechat — 100% identical, 0 lines differ
- baoyu-post-to-wechat — 100% identical, 0 lines differ
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.
- 13d ago First seen · 299 lines · 101 tokens per session scan C e15f1b5a51b8
baoyu-post-to-wechat is a skill published in the GitHub repository JimLiu/baoyu-skills (25,839 stars, last pushed 2d ago), 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). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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