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 jianshuo/claude-skills --skill wjs-publishing-wechatgit clone --depth 1 https://github.com/jianshuo/claude-skillsWrote 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/jianshuo/claude-skills/wjs-publishing-wechat)<a href="https://agentmods.dev/skills/jianshuo/claude-skills/wjs-publishing-wechat"><img src="https://agentmods.dev/badge/skills/jianshuo/claude-skills/wjs-publishing-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/jianshuo/claude-skills/wjs-publishing-wechat"><img src="https://agentmods.dev/badge/skills/jianshuo/claude-skills/wjs-publishing-wechat.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector 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 | $0.00091 | $0.04399 |
| Opus 5 | $0.00046 | $0.02200 |
| Sonnet 5 | $0.00018 | $0.00880 |
| Haiku 4.5 | $0.00009 | $0.00440 |
Grade A, and why
wjs-publishing-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 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.
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.
How it starts
The opening of the file, as written. The whole thing — 224 lines — stays where its author put it; the contents beside it link to each section on GitHub.
wjs-publishing-wechat
帮用户写微信公众号文章。轻润色,不重写。 自动生成题图和解释图,一行命令推草稿。
⚠️ 风格唯一权威:STYLE.md(写作 / 润色前必读)
写或润色每一篇文章前,先读同目录的 STYLE.md,并严格遵循。 那是王建硕本人维护的风格定义文件——语气 DNA、长度、加粗、排版、红线清单全在那里。本 SKILL.md 只管机制与工作流(脚本、配图、HTML 转换、发布)。
风格上 STYLE.md 与本文件冲突时,以 STYLE.md 为准。要调风格 = 改 STYLE.md,不在这里改、更不在草稿里改。
下面只保留机制相关的写作约束:
- 字数(STYLE.md 定预算,这里给计数命令):
python3 -c "import re; t=open('article.md').read(); t=re.sub(r'\!\[.*?\]\(.*?\)','',t); print(len(re.findall(r'[一-鿿]',t)) + len(re.findall(r'[A-Za-z]+',t)))"
- 加粗加红的机制:
upload-draft.sh把**...**渲染成红色粗体(用法见 STYLE.md「加粗加红」)。 - 盘古之白的机制:
upload-draft.sh自动跑scripts/pangu.py,Claude 不用手动加空格。 - 命令 / 代码独立成段的写法(规则见 STYLE.md,这里给可复制的样式):
- 首选——淡底色代码块(raw HTML 块,整段一行,内部不能有空行):
<section style="background:#f6f8fa;border-radius:6px;padding:14px 16px;overflow-x:auto;font-family:Menlo,Consolas,monospace;font-size:14px;line-height:1.8;color:#24292e;">npm install -g xxx<br>xxx run</section> - 或 fenced
```bash块,脚本转成独立<p><code>…</code></p>。
- 首选——淡底色代码块(raw HTML 块,整段一行,内部不能有空行):
介绍 skill 的文章:末尾必须附安装方法
触发条件:这篇在介绍 / 推荐某个具体的 Claude Code skill。
前置 — 确认 skill 已发布:王建硕自己的 wjs-* skill 由 ~/.claude/skills-publish-hook.sh 自动 push 到 github.com/jianshuo/claude-skills,用 gh api repos/jianshuo/claude-skills/contents/<skill-name> 确认。别人的 skill 先确认在公开 git repo 里。
末尾附下面这段(<SKILL_NAME> 替换成实际名):
## 安装方法
不用复制命令。打开你用的 AI agent——Claude Code、Codex、Kimi Code、OpenClaw 都可以,对它说一句:
> 安装 https://github.com/jianshuo/claude-skills/blob/main/<SKILL_NAME>/SKILL.md
它会自己 fetch、放到 skill 目录里、提示你重启对话。
用 Hermes 的话直接命令行:
\`\`\`bash
hermes skills install https://github.com/jianshuo/claude-skills/blob/main/<SKILL_NAME>/SKILL.md
\`\`\`
装完之后,对 agent 说一句「<一句最自然的触发语,紧扣这个 skill 的入口>」,就能用。
规则:
- 这段不计入 800–1000 字预算
- URL 用
github.com/<owner>/<repo>/blob/main/<path>——浏览器能直接看,LLM agent 也能从 blob URL 抽 markdown - Hermes 单独列命令行,因为它是 registry CLI 而非 chat agent
- 最后那句触发语按当前 skill 实际入口写,不要漏
- 通常放最后;有
## 后注则放后注之前
What ships with it
19 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.
- .gitignore 65 B
- .publish-manifest.json 13 KB
- LICENSE 1.0 KB
- prompts/cover-prompt.md 21 KB
- prompts/illustration-prompt.md 2.8 KB
- README.md 4.7 KB
- scripts/backfill-permalinks.py 9.3 KB runs code
- scripts/build-recent-articles.py 5.5 KB runs code
- scripts/fetch-comments-by-cookie.sh 12 KB runs code
- scripts/fetch-comments-via-gstack.sh 11 KB runs code
- scripts/fetch-comments.sh 5.4 KB runs code
- scripts/gen-cover-ai.sh 3.8 KB runs code
- scripts/gen-illustration.sh 3.0 KB runs code
- scripts/mass-send.sh 7.2 KB runs code
- scripts/open-draft-edit.sh 5.3 KB runs code
- scripts/pangu.py 2.9 KB runs code
- scripts/update-draft-via-api.py 3.9 KB runs code
- scripts/upload-draft.sh 19 KB runs code
- STYLE.md 11 KB
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 · 224 lines · 91 tokens per session scan A ad281833a9ad
wjs-publishing-wechat is a skill published in the GitHub repository jianshuo/claude-skills (129 stars, last pushed 22d ago), licensed MIT. It adds 91 tokens to every session and 4,399 once invoked, about $0.0005 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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