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 agentmods add skills/onefav/wechat-article-formatter-workflow/wechat-article-formatternpx skills add OneFav/wechat-article-formatter-workflow --skill wechat-article-formattergit clone --depth 1 https://github.com/OneFav/wechat-article-formatter-workflowWrote 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/onefav/wechat-article-formatter-workflow/wechat-article-formatter)<a href="https://agentmods.dev/skills/onefav/wechat-article-formatter-workflow/wechat-article-formatter"><img src="https://agentmods.dev/badge/skills/onefav/wechat-article-formatter-workflow/wechat-article-formatter.svg" alt="Measured on agentmods" 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 | $0.00025 | $0.00394 |
| Opus 5 | $0.00013 | $0.00197 |
| Sonnet 5 | $0.00005 | $0.00079 |
| Haiku 4.5 | $0.00003 | $0.00039 |
Grade A, and why
wechat-article-formatter 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 5d 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.
What it actually says
微信公众号文章格式化工具
本工具基于v3.0专业排版体系，生成专为微信公众号适配的格式化文章。
核心设计理念v3.0排版体系遵循以下原则:
- 不使用表情符号 — 改用文字标识("提示:"、"注意:"、"重点:"、"成功:")
- 不使用渐变 — 仅使用纯色
- 专业配色 — 标题用#6575FE(柔和的紫色),强调用#F96E57(珊瑚红)
- 贴近人工撰写风格 — 避免AI化的花哨样式
输出格式始终生成HTML文件(后缀为.html),用户可直接:
- 在浏览器中打开预览
- 全选内容(Ctrl+A/Cmd+A)并复制
- 直接粘贴至微信公众号编辑器
配色方案:
- 背景: #fff (白色)
- 正文: #3E3E3E (深灰色)
- 标题: #6575FE (柔和的紫色)
容器规范所有内容必须包裹在基础容器内:
<section style="margin: 15px auto; padding: 0 15px; max-width: 677px; font-size: 15px; color: #3E3E3E; line-height: 1.75; font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, 'Helvetica Neue', Arial, sans-serif;">
<!-- 所有内容置于此处 -->
</section>
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.
- 5d ago First seen · 32 lines · 25 tokens per session scan A 9ba92c7d7b90
wechat-article-formatter is a skill published in the GitHub repository OneFav/wechat-article-formatter-workflow (2 stars, last pushed 5mo ago), licensed MIT. It adds 25 tokens to every session and 394 once invoked, about $0.0001 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 2026-08-31.
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