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 5.5 | $0.00024 | $0.00279 |
| Sonnet 5.5 | $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 2mo 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.
- 2mo 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 3mo ago), licensed MIT. It adds 61 tokens to every session and 698 once invoked, about $0.0002 per session on Opus 5.5. 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.
pdf2word compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| pdf2wordphanghonghao/THU-Awesome-Skills | Skill | 8 | 3mo ago | MIT | A | 61 | Claude Code, Codex |
| apify-youtube-transcript-scrapersickn33/agentic-awesome-skills | Skill | 49k | yesterday | MIT | A | 48 | Claude Code |
| foundry-hosted-agent-validationmicrosoft/agent-framework | Skill | 15k | yesterday | MIT | A | 82 | Claude Code, Codex |
| report-to-pdfasgeirtj/system_prompts_leaks | Skill | 71k | yesterday | CC0-1.0 | A | 17 | Claude Code, Codex |
| pdf-extract-create-workflowHKUDS/OpenSpace | Skill | 7.9k | yesterday | MIT | A | 22 | Claude Code, Codex |
| document-direct-pythonHKUDS/OpenSpace | Skill | 7.9k | yesterday | MIT | A | 20 | Claude Code, Codex |
| pdf-verification-cliHKUDS/OpenSpace | Skill | 7.9k | yesterday | MIT | A | 19 | Claude Code, Codex |