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 phanghonghao/THU-Awesome-Skills --skill any2mdgit clone --depth 1 https://github.com/phanghonghao/THU-Awesome-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/phanghonghao/thu-awesome-skills/any2md)<a href="https://agentmods.dev/skills/phanghonghao/thu-awesome-skills/any2md"><img src="https://agentmods.dev/badge/skills/phanghonghao/thu-awesome-skills/any2md/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/phanghonghao/thu-awesome-skills/any2md"><img src="https://agentmods.dev/badge/skills/phanghonghao/thu-awesome-skills/any2md.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 | $0.00064 | $0.00845 |
| Opus 5 | $0.00032 | $0.00423 |
| Sonnet 5 | $0.00013 | $0.00169 |
| Haiku 4.5 | $0.00006 | $0.00085 |
Grade A, and why
any2md 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 8d 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 — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
any2md — Universal Document to Markdown
Automatically routes to the best backend based on file format and content:
| Format | Backend | Why |
|---|---|---|
| DOCX with math | /word2md |
Correct OMML→LaTeX, no escaping bugs |
| DOCX no math | markitdown | General-purpose conversion |
| markitdown | Table-aware extraction | |
| PDF (high fidelity) | PyMuPDF | --pdf-backend pymupdf |
| PPTX / XLSX / HTML / EPUB / etc | markitdown | Broad format support |
When to Use
- User mentions: "any2md", "/any2md", "convert to md", "转 markdown", "万能转 md"
- User has a document of unknown type and wants Markdown output
- User wants one command that handles any format
How to Use
PYTHONIOENCODING=utf-8 python ~/.claude/skills/any2md/any2md.py "<INPUT_FILE>" ["<OUTPUT.md>"]
Arguments
| Arg | Required | Description |
|---|---|---|
input |
Yes | Input file path |
output |
No | Output .md path (default: stdout) |
--math |
No | auto (default) / yes / no — math detection |
--pdf-backend |
No | markitdown (default) / pymupdf |
Examples
# Auto-detect format, print to stdout
PYTHONIOENCODING=utf-8 python ~/.claude/skills/any2md/any2md.py "document.docx"
# Convert and save
PYTHONIOENCODING=utf-8 python ~/.claude/skills/any2md/any2md.py "slides.pptx" "slides.md"
# Force math mode for DOCX
PYTHONIOENCODING=utf-8 python ~/.claude/skills/any2md/any2md.py "report.docx" "report.md" --math yes
# PDF with PyMuPDF (high fidelity, no tables)
PYTHONIOENCODING=utf-8 python ~/.claude/skills/any2md/any2md.py "paper.pdf" "paper.md" --pdf-backend pymupdf
Key Features
- Auto math detection: Scans DOCX for
oMathelements; routes toword2mdif found - Math escaping fix: Post-processes markitdown output to fix
\_→_inside$...$ - Image extraction: DOCX with math → word2md extracts images to
images/folder - PDF backends: Choose between table-aware (markitdown) or high-fidelity text (PyMuPDF)
What ships with it
1 file 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.
- 8d ago First seen · 74 lines · 64 tokens per session scan A 030324f18d67
any2md is a skill published in the GitHub repository phanghonghao/THU-Awesome-Skills (8 stars, last pushed 29d ago), licensed MIT. It adds 64 tokens to every session and 845 once invoked, about $0.0003 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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