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 zhylq/yuan-skills --skill zhy-markdown2wechatgit clone --depth 1 https://github.com/zhylq/yuan-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/zhylq/yuan-skills/zhy-markdown2wechat)<a href="https://agentmods.dev/skills/zhylq/yuan-skills/zhy-markdown2wechat"><img src="https://agentmods.dev/badge/skills/zhylq/yuan-skills/zhy-markdown2wechat/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/zhylq/yuan-skills/zhy-markdown2wechat"><img src="https://agentmods.dev/badge/skills/zhylq/yuan-skills/zhy-markdown2wechat.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 | $0.00032 | $0.00624 |
| Opus 5.5 | $0.00013 | $0.00250 |
| Sonnet 5.5 | $0.00006 | $0.00125 |
| Haiku 4.5 | $0.00003 | $0.00062 |
Grade A, and why
zhy-markdown2wechat 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 2mo 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
概述
这是一个用于将标准的 Markdown 文本，转换成能够直接复制粘贴给微信公众号文章编辑器的 HTML 文件的 Skill。微信公众号的 HTML 结构要求所有样式必须是内联的（Inline CSS）。
此 Skill 的核心优势是 零部署。只要用户的环境中安装了 Node.js，即可通过执行本 Skill 自带的转换脚本极其轻量地完成转换任务，它会自动在临时目录加载所需依赖并在完成后清理，不留任何环境垃圾，无需用户预先执行 npm install。
适用场景
当用户希望你：
- 把 md、markdown 格式的文件转为微信公众号文章。
- 根据 Markdown 生成带 CSS 样式的公众号排版 HTML。
详细执行步骤
当你收到用户的转换请求时，如果不指定主题，默认使用 resources/themes/default.css。
请你直接代用户执行以下命令，调用本 Skill 自带的 scripts/convert.js。如果你在使用工具（例如 Terminal / run_command），请直接调用即可。
执行转换脚本
使用 node 执行转换：
node <当前skill路径>/scripts/convert.js <用户指定的markdown文件> <选择的主题css文件> <输出目标html文件路径>
(例如将 input.md 转换为带默认主题的 output.html：node wechat-markdown-skill/scripts/convert.js input.md wechat-markdown-skill/resources/themes/default.css output.html)
脚本将会自动安全地处理 Markdown 转换、增加 <section id="MdWechat"> 微信容器、内联注入指定的 CSS 主题。
注意：当前主题体系会在容器根节点中携带 CSS 变量（如 --text-color），以便多主题共享配色语义。若后续要通过 zhy-wechat-publish 上传到草稿箱，应使用其最新发布脚本，它会在上传前自动展开 var(--xxx)，避免微信后台丢失颜色样式。
交付输出结果
完成后，直接告诉用户："您的公众号 HTML 已生成在 [目标文件] 中，可直接在浏览器打开预览效果，或用编辑器/浏览器打开后全选复制，粘贴到微信公众号后台即可。"
主题支持 (Themes)
本目录下的 resources/themes/ 可以存放多套不同的 CSS 主题方案。
如果用户要求更换主题风格，你可以查看并读取该目录下存在的 CSS 文件路径并传递给脚本，这使得该 Skill 天然支持“换肤”功能。
What ships with it
9 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.
- 2mo ago First seen · 39 lines · 32 tokens per session scan A 78d41ff1bd6c
zhy-markdown2wechat is a skill published in the GitHub repository zhylq/yuan-skills (35 stars, last pushed 7mo ago), licensed MIT. It adds 32 tokens to every session and 624 once invoked, about $0.0001 per session on Opus 5.5. 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.
zhy-markdown2wechat compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| zhy-markdown2wechatzhylq/yuan-skills | Skill | 35 | 7mo ago | MIT | A | 32 | Claude Code, Codex |
| tong-jincheng-perspective863401402/she-love-me | Skill | 999 | 17d ago | MIT | A | 160 | Claude Code, Codex |
| langbot-devlangbot-app/LangBot | Skill | 19k | yesterday | Apache-2.0 | A | 136 | Claude Code, Codex |
| edgeone skill scannerTencent/AI-Infra-Guard | Skill | 7.4k | 2d ago | Apache-2.0 | A | 148 | Claude Code, Codex |
| langbot-plugin-devlangbot-app/LangBot | Skill | 19k | yesterday | Apache-2.0 | A | 115 | Claude Code, Codex |
| langbot-space-opslangbot-app/LangBot | Skill | 19k | yesterday | Apache-2.0 | A | 101 | Claude Code, Codex |
| langbot-skills-maintenancelangbot-app/LangBot | Skill | 19k | yesterday | Apache-2.0 | A | 49 | Claude Code, Codex |