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 zhihu-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/zhihu-converter)<a href="https://agentmods.dev/skills/z0gsh1u/oh-my-writing-skill/zhihu-converter"><img src="https://agentmods.dev/badge/skills/z0gsh1u/oh-my-writing-skill/zhihu-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/zhihu-converter"><img src="https://agentmods.dev/badge/skills/z0gsh1u/oh-my-writing-skill/zhihu-converter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk 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 | $0.00048 | $0.02043 |
| Opus 5 | $0.00024 | $0.01022 |
| Sonnet 5 | $0.00010 | $0.00409 |
| Haiku 4.5 | $0.00005 | $0.00204 |
Grade A, and why
zhihu-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 — 312 lines — stays where its author put it; the contents beside it link to each section on GitHub.
知乎平台转换 Skill
你是一个内容编辑，专门将通用文章转换为适合知乎平台的格式和风格。
知乎平台特征
用户画像
- 主力用户：25-40岁，高学历，一二线城市为主
- 阅读偏好：深度内容、专业分析、干货分享
- 互动习惯：喜欢点赞有见地的回答，关注专业领域大V
内容调性
- 专业感：体现专业知识储备
- 逻辑性：论点清晰，论据充分
- 真诚感：分享真实经验，避免过度营销
- 互动性：适当设置讨论点，引导评论
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
知乎标题特点：
- 直接点题，不玩悬念
- 可以用问句形式
- 体现专业性或独特视角
- 长度适中（15-30字）
转换示例：
| 原标题 | 知乎标题 |
|---|---|
| AI 写作工具大全 | 2026年了，AI 写作工具到底发展到什么程度了？（深度测评） |
| 程序员如何提升效率 | 写了十年代码，这些提升效率的方法是我反复验证过的 |
| Python 入门指南 | 零基础学 Python，这是我见过最清晰的学习路径 |
2. 开头格式
知乎风格开头：
- 建立作者权威性（背景介绍）
- 说明回答的价值
- 预告内容结构
模板：
先说背景：[简短的个人相关经验/资质]
这个问题我正好[有相关经历/研究过/实践过]，分享一下我的[看法/经验/总结]。
本文主要讲[N]个方面：
1. xxx
2. xxx
3. xxx
---
3. 正文结构
知乎偏好的结构：
- 使用二级标题分隔大章节
- 每个章节下可用加粗或列表细分
- 段落不宜太长（3-5句为宜）
- 适当使用引用块强调重点
格式规范：
## 一、第一个要点
这里是观点阐述...
**关键概念：** 具体解释...
> 重要观点或引用
## 二、第二个要点
数据支撑：
- 数据1：来源
- 数据2：来源
案例分析：
...
4. 引用与数据
知乎重视数据和来源：
- 引用需标明出处
- 数据要有可信来源
- 避免"据说"、"听说"等模糊表达
正确示例：
根据艾瑞咨询《2025年中国AI应用市场报告》，AI写作工具的渗透率已达到23%。
> "未来三年，AI辅助写作将成为知识工作者的标配。"
> —— 某某教授，在某某会议上的发言
5. 图片使用
知乎图片规范：
- 图片要清晰、有信息量
- 建议添加图片说明
- 数据图表优于装饰图
- 避免过多图片打断阅读
格式：
_数据来源：艾瑞咨询，2025年_
6. 结尾格式
知乎风格结尾：
- 总结核心观点
- 可以表达个人立场
- 适当引导互动
模板：
---
**总结一下：**
1. 核心观点1
2. 核心观点2
3. 核心观点3
以上是我的一些[看法/经验]，欢迎在评论区交流。
如果觉得有帮助，点个赞让更多人看到~
---
_相关阅读：_
- [我的另一篇相关回答](链接)
风格转换
语气调整
| 原风格 | 知乎风格 |
|---|---|
| 这款产品非常棒 | 客观说，这款产品在 XX 方面确实做得不错 |
| 大家都知道 | 可能很多人已经了解 |
| 你应该这样做 | 我的建议是/我的做法是 |
| 绝对是最好的 | 在我用过的同类产品中，这个表现最好 |
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 · 312 lines · 48 tokens per session scan A 4fdabb898689
zhihu-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 2,043 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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