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 word2pdfgit 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/word2pdf)<a href="https://agentmods.dev/skills/phanghonghao/thu-awesome-skills/word2pdf"><img src="https://agentmods.dev/badge/skills/phanghonghao/thu-awesome-skills/word2pdf/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/word2pdf"><img src="https://agentmods.dev/badge/skills/phanghonghao/thu-awesome-skills/word2pdf.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 | $0.00092 | $0.00684 |
| Opus 5 | $0.00046 | $0.00342 |
| Sonnet 5 | $0.00018 | $0.00137 |
| Haiku 4.5 | $0.00009 | $0.00068 |
Grade A, and why
word2pdf 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Word to PDF Converter
Convert Word documents (.doc / .docx) to PDF with automatic format detection.
When to Use
- User mentions: "word2pdf", "Word转PDF", "Word to PDF", "doc转PDF", "docx转PDF"
- Need to convert a Word document to PDF for sharing or submission
- Need to check whether a file is .doc or .docx before converting
How It Works
- Format Detection — reads first 8 bytes to identify:
D0 CF 11 E0 ...→.doc(OLE2 Compound Binary Format)50 4B 03 04→.docx(ZIP / Office Open XML)
- Conversion — tries in order:
- Microsoft Word COM automation (
win32com) — best fidelity for both formats - LibreOffice headless (
soffice --headless) — fallback for both formats
- Microsoft Word COM automation (
Usage
python "<LOCAL_USER>/.claude/skills/word2pdf/word2pdf.py" <input.doc|input.docx> [output.pdf]
Arguments
| Argument | Required | Description |
|---|---|---|
input |
Yes | Input Word file path (.doc or .docx) |
output |
No | Output PDF path (default: same name with .pdf extension) |
Examples
# Convert .docx (auto-detect format, output = input_name.pdf)
python "<LOCAL_USER>/.claude/skills/word2pdf/word2pdf.py" "report.docx"
# Convert .doc (legacy binary format)
python "<LOCAL_USER>/.claude/skills/word2pdf/word2pdf.py" "old_document.doc"
# Convert with custom output path
python "<LOCAL_USER>/.claude/skills/word2pdf/word2pdf.py" "report.docx" "output.pdf"
Dependencies
- Primary: Microsoft Word (installed) +
pywin32python -m pip install pywin32 - Fallback: LibreOffice (any recent version)
Workflow
- Validate input file exists
- Detect format via magic bytes (report
.docor.docx) - Try Microsoft Word COM conversion
- If unavailable, try LibreOffice headless
- Report output path, file size, and page count
Rules
- Always use
PYTHONIOENCODING=utf-8on Windows - Report detected format to user before converting
- Report any conversion warnings or errors
- If neither Word nor LibreOffice is available, inform the user to install one
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 · 73 lines · 92 tokens per session scan A 1630ebb5487a
word2pdf is a skill published in the GitHub repository phanghonghao/THU-Awesome-Skills (8 stars, last pushed 1mo ago), licensed MIT. It adds 92 tokens to every session and 684 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 2026-08-31.
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parse-document
Convert a PDF, scan, image of a page, or office file to clean markdown through the connected Superlinked MCP edge, so the source document is not read into model context directly. Use when the user asks to read, parse, OCR, extract from, summarize, or answer questions about a document.