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 L-LesterYu/OpenClaw-hot-skills-zh --skill markdown-converter-zhgit clone --depth 1 https://github.com/L-LesterYu/OpenClaw-hot-skills-zhWrote 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/l-lesteryu/openclaw-hot-skills-zh/markdown-converter-zh)<a href="https://agentmods.dev/skills/l-lesteryu/openclaw-hot-skills-zh/markdown-converter-zh"><img src="https://agentmods.dev/badge/skills/l-lesteryu/openclaw-hot-skills-zh/markdown-converter-zh/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/l-lesteryu/openclaw-hot-skills-zh/markdown-converter-zh"><img src="https://agentmods.dev/badge/skills/l-lesteryu/openclaw-hot-skills-zh/markdown-converter-zh.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 | $0.00094 | $0.00556 |
| Opus 5 | $0.00047 | $0.00278 |
| Sonnet 5 | $0.00019 | $0.00111 |
| Haiku 4.5 | $0.00009 | $0.00056 |
Grade A, and why
markdown-converter-zh 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.
What it actually says
Markdown 转换器
使用 markitdown 工具将各种文档格式转换为 Markdown。非常适合为 LLM 处理或文本分析准备内容。
设置
安装 markitdown（Python 包）：
pip install markitdown
使用方法
基本转换
./convert.js /path/to/document.pdf
./convert.js /path/to/document.docx
./convert.js /path/to/spreadsheet.xlsx
./convert.js /path/to/presentation.pptx
支持的格式
- 文档： PDF (.pdf), Word (.docx), RTF (.rtf)
- 电子表格： Excel (.xlsx, .xls), CSV (.csv)
- 演示文稿： PowerPoint (.pptx)
- 网页： HTML (.html, .htm), URL 链接
- 数据： JSON (.json), XML (.xml)
- 图片： PNG, JPG 等（带 EXIF 元数据和 OCR）
- 音频： MP3, WAV 等（带转录）
- 压缩包： ZIP (.zip) - 解压并转换内容
- 电子书： EPUB (.epub)
- 视频链接： YouTube 链接（提取字幕）
选项
./convert.js --help
示例
# 将 PDF 转换为 Markdown
./convert.js report.pdf
# 转换 Word 文档
./convert.js contract.docx
# 转换网页
./convert.js https://example.com/article
# 转换 YouTube 视频（提取字幕）
./convert.js https://youtube.com/watch?v=VIDEO_ID
# 转换 Excel 电子表格
./convert.js data.xlsx
使用场景
- 为 LLM 分析准备文档
- 将旧格式文档转换为现代格式
- 使用 OCR 从图片中提取文本
- 转录音频文件
- 将网页转换为 Markdown
- 处理 YouTube 视频字幕
- 批量转换多种文件类型
What ships with it
3 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.
- 12d ago First seen · 76 lines · 94 tokens per session scan A f4a551d30385
markdown-converter-zh is a skill published in the GitHub repository L-LesterYu/OpenClaw-hot-skills-zh (54 stars, last pushed 5mo ago), licensed MIT. It adds 94 tokens to every session and 556 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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