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 word2mdgit 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/word2md)<a href="https://agentmods.dev/skills/phanghonghao/thu-awesome-skills/word2md"><img src="https://agentmods.dev/badge/skills/phanghonghao/thu-awesome-skills/word2md/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/word2md"><img src="https://agentmods.dev/badge/skills/phanghonghao/thu-awesome-skills/word2md.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 | $0.00049 | $0.00443 |
| Opus 5 | $0.00024 | $0.00221 |
| Sonnet 5 | $0.00010 | $0.00089 |
| Haiku 4.5 | $0.00005 | $0.00044 |
Grade A, and why
word2md 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
Word to Markdown Converter
Convert Word (.docx) files containing Office Math (OMML) formulas to clean Markdown with LaTeX math.
When to Use
- User says "convert docx to md", "word to markdown", "word2md"
- User provides a
.docxfile and wants it in Markdown format - User needs to extract math formulas from Word documents
How to Use
PYTHONIOENCODING=utf-8 python ~/.claude/skills/word2md/word2md.py "<input.docx>" ["<output.md>"]
- input.docx (required): Path to the Word file
- output.md (optional): Output file path. If omitted, prints to stdout
Examples
# Convert and print to stdout
PYTHONIOENCODING=utf-8 python ~/.claude/skills/word2md/word2md.py "document.docx"
# Convert and save to file
PYTHONIOENCODING=utf-8 python ~/.claude/skills/word2md/word2md.py "document.docx" "output.md"
Features
- OMML to LaTeX: Converts Office Math XML elements (subscripts, superscripts, fractions, square roots, delimiters, sums/integrals, accents, limits, functions)
- Unicode to LaTeX: Greek letters (alpha, beta, sigma...) and math symbols (geq, times, circ...)
- Display vs inline math:
oMathParaproduces$$...$$,oMathproduces$...$ - Post-processing: Cleans up delimiter issues, fixes command spacing, bold headers
Dependencies
python-docxmust be installed:python -m pip install python-docx
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.
- 12d ago First seen · 45 lines · 49 tokens per session scan A bf57b035ca60
word2md is a skill published in the GitHub repository phanghonghao/THU-Awesome-Skills (8 stars, last pushed 1mo ago), licensed MIT. It adds 49 tokens to every session and 443 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 2026-08-31.
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