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 pdf2wordgit 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/pdf2word)<a href="https://agentmods.dev/skills/phanghonghao/thu-awesome-skills/pdf2word"><img src="https://agentmods.dev/badge/skills/phanghonghao/thu-awesome-skills/pdf2word/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/pdf2word"><img src="https://agentmods.dev/badge/skills/phanghonghao/thu-awesome-skills/pdf2word.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 | $0.00061 | $0.00698 |
| Opus 5 | $0.00030 | $0.00349 |
| Sonnet 5 | $0.00012 | $0.00140 |
| Haiku 4.5 | $0.00006 | $0.00070 |
Grade A, and why
pdf2word 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 11d 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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PDF to Word Converter (pdf2docx)
Convert PDF files to Word (.docx) using the pdf2docx library (based on PyMuPDF + python-docx). Preserves paragraphs, tables, images, and font styles.
When to Use
- User mentions: "pdf2word", "PDF转Word", "PDF to Word", "PDF转docx"
- Need to convert a PDF into an editable Word document
- Need to fill in a PDF form but need Word format first
Dependencies
python -m pip install pdf2docx 2>&1 | tail -3
Usage
python "<LOCAL_USER>/.claude/skills/pdf2word/pdf2word.py" <input.pdf> [output.docx] [--start PAGE] [--end PAGE] [--pages 0,1,2]
Arguments
| Argument | Required | Description |
|---|---|---|
input.pdf |
Yes | Input PDF file path |
output.docx |
No | Output Word file path (default: same name as PDF with .docx extension) |
--start |
No | Start page (0-indexed, default: 0) |
--end |
No | End page (exclusive, default: all pages) |
--pages |
No | Specific pages to convert (comma-separated, 0-indexed) |
Examples
# Convert entire PDF
python "<LOCAL_USER>/.claude/skills/pdf2word/pdf2word.py" "report.pdf"
# Convert with custom output name
python "<LOCAL_USER>/.claude/skills/pdf2word/pdf2word.py" "report.pdf" "output.docx"
# Convert pages 1-3 (0-indexed: 0,1,2)
python "<LOCAL_USER>/.claude/skills/pdf2word/pdf2word.py" "report.pdf" --start 0 --end 3
# Convert specific pages
python "<LOCAL_USER>/.claude/skills/pdf2word/pdf2word.py" "report.pdf" --pages 0,2,4
Workflow
- Install
pdf2docxif not present - Run
pdf2word.pywith the PDF path - Output
.docxis saved alongside the original PDF (or at specified path) - Use
assignment-wordskill'sinfocommand to inspect the resulting docx structure
Limitations
- Complex layouts (multi-column, floating elements) may not convert perfectly
- Scanned/image-based PDFs will not have editable text
- Very large PDFs may be slow — use
--start/--endto convert page ranges
Rules
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.
- 11d ago First seen · 72 lines · 61 tokens per session scan A 98de66cf8d26
pdf2word is a skill published in the GitHub repository phanghonghao/THU-Awesome-Skills (8 stars, last pushed 1mo ago), licensed MIT. It adds 61 tokens to every session and 698 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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document-direct-python
Use direct Python execution for reliable document creation including spreadsheets, PDFs, and structured reports.
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.