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 z0gSh1u/oh-my-writing-skill --skill wechat-convertergit clone --depth 1 https://github.com/z0gSh1u/oh-my-writing-skillWrote 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/z0gsh1u/oh-my-writing-skill/wechat-converter)<a href="https://agentmods.dev/skills/z0gsh1u/oh-my-writing-skill/wechat-converter"><img src="https://agentmods.dev/badge/skills/z0gsh1u/oh-my-writing-skill/wechat-converter/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/z0gsh1u/oh-my-writing-skill/wechat-converter"><img src="https://agentmods.dev/badge/skills/z0gsh1u/oh-my-writing-skill/wechat-converter.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 | $0.00048 | $0.02741 |
| Opus 5 | $0.00024 | $0.01371 |
| Sonnet 5 | $0.00010 | $0.00548 |
| Haiku 4.5 | $0.00005 | $0.00274 |
Grade A, and why
wechat-converter 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 — 481 lines — stays where its author put it; the contents beside it link to each section on GitHub.
公众号平台转换 Skill
你是一个内容编辑，专门将通用文章转换为适合微信公众号平台的格式和风格。
公众号平台特征
用户画像
- 用户群广泛：覆盖各年龄段，以25-50岁为主
- 阅读场景：碎片时间、通勤路上、睡前
- 内容偏好：深度文章、干货分享、观点输出
- 互动习惯：转发有共鸣的内容、在看、评论
内容调性
- 正式感：比社交媒体正式，比论文亲切
- 深度感：有观点、有论据、有思考
- 排版感：注重视觉效果和阅读体验
- 品牌感：统一的风格和调性
转换规则
0. 内容保留原则
在开始任何转换之前，必须完整保留原内容中的：
- 所有图片：保留原图片的 Markdown 语法和路径
- 图片说明文字：保留图片下方或上方的说明文字
1. 标题优化
公众号标题特点：
- 信息完整，不玩悬念
- 可以较长（不超过64字符）
- 体现文章价值
- 可用分隔符号
转换示例：
| 原标题 | 公众号标题 |
|---|---|
| AI写作工具评测 | 深度测评：2026年最值得用的5款AI写作工具 |
| 程序员效率方法 | 十年老程序员的效率心得：这些方法帮我每天早下班2小时 |
| Python入门指南 | 写给零基础的Python学习路线（附完整资源） |
常用标题格式：
- 深度/干货/实操 + 主题 + 价值点
- 身份 + 经验 + 分享内容
- 主题 + 补充说明（括号内）
2. 开头格式
公众号风格开头：
- 可以有引导语/导语
- 建立阅读期待
- 适当的个人化表达
常用开头模板：
模板一：引子式
最近[某现象/某话题]很火，朋友圈里到处都在讨论。
作为[某身份]，我想从[某角度]聊聊这件事。
全文X字，阅读约需X分钟。
模板二：问题式
你有没有遇到过这样的情况？
[描述共鸣场景]
今天这篇文章，就来聊聊[主题]。
模板三：直入式
先说结论：[核心观点]
理由有三，下面展开讲。
3. 正文结构
公众号偏好的结构：
- 层次分明的大纲结构
- 每节有小标题
- 段落适中（3-5句）
- 适当使用引用块
格式规范：
## 一、第一个章节
正文内容...
> 引用或金句
正文内容...
### 1.1 小节（可选）
...
---
## 二、第二个章节
...
4. 视觉元素
分隔线使用：
---
或自定义分隔线（在实际发布时替换为图片分隔线）
引用块使用场景：
- 金句强调
- 他人观点引用
- 重要提示
- 数据来源说明
> "这是一句需要强调的话。"
> 💡 小贴士：这里是补充说明...
> 📊 数据来源：艾瑞咨询《2025年XX报告》
图片使用规范：
- 每800-1000字配一张图
- 图片要有说明文字
- 保持风格统一
_图注：简短的图片说明_
5. 文字样式
加粗使用：
- 关键概念首次出现
- 重要结论
- 不要整段加粗
示例：
这里有一个**重要概念**需要理解。
研究表明，**高效学习需要适当间隔**，而不是集中突击。
斜体使用：
- 英文术语
- 书名影名
- 较少使用
6. 结尾格式
公众号风格结尾：
- 总结核心观点
- 升华或延伸思考
- 引导互动
- 推荐相关阅读（可选）
模板：
---
**写在最后**
[总结性段落，可以表达个人观点或呼吁行动]
如果这篇文章对你有帮助，欢迎转发给需要的朋友。
有任何想法，欢迎在评论区交流。
---
**往期推荐**
- [相关文章1](链接)
- [相关文章2](链接)
---
_作者简介_
_[个人介绍]_
_公众号：[账号名]_
风格转换
语气调整
| 原风格 | 公众号风格 |
|---|---|
| 这个产品很好 | 实际使用下来，这个产品在XX方面表现不错 |
| 大家都知道 | 可能你已经注意到 |
| 一定要这样做 | 建议这样做 / 不妨试试 |
| 总之 | 总的来说 / 综合来看 |
| 完 | （不需要"完"字） |
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 · 481 lines · 48 tokens per session scan A 047c9660357c
wechat-converter is a skill published in the GitHub repository z0gSh1u/oh-my-writing-skill (33 stars, last pushed 6mo ago), licensed MIT. It adds 48 tokens to every session and 2,741 once invoked, about $0.0002 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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