Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/mytk2012/python_agentnpx agentmods add skills/mytk2012/python_agent/pdfWrote 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/mytk2012/python_agent/pdf)<a href="https://agentmods.dev/skills/mytk2012/python_agent/pdf"><img src="https://agentmods.dev/badge/skills/mytk2012/python_agent/pdf/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/mytk2012/python_agent/pdf"><img src="https://agentmods.dev/badge/skills/mytk2012/python_agent/pdf.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 | $0.00009 | $0.00332 |
| Opus 5.5 | $0.00004 | $0.00133 |
| Sonnet 5.5 | $0.00002 | $0.00066 |
| Haiku 4.5 | $0.00001 | $0.00033 |
Grade A, and why
pdf 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 1mo 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
PDF Skill
PDF文档处理和分析能力，包括文本提取、表格提取、图片提取、文档分析等功能。
功能
- 从PDF提取纯文本
- 表格提取并转换为CSV格式
- 图片提取
- 文档分析和元数据提取
- 统计页数、字数、字符数
使用方法
提取PDF文本
使用bash工具调用PDF提取脚本：
python scripts/extract_text.py document.pdf --output document.txt
提取表格
python scripts/extract_tables.py report.pdf --output ./tables
分析PDF
python scripts/analyze_pdf.py document.pdf
依赖
pip install pypdf pdfplumber tabula-py pillow
最佳实践
- 在处理大型PDF时，考虑分批处理
- 对于加密的PDF，需要先解密
- 提取表格时，建议指定输出目录以便管理
- 分析PDF时，可以获取文档结构和元数据信息
注意事项
- 某些PDF可能是扫描图片，需要OCR处理
- 表格提取可能需要手动调整
- 复杂的版式可能影响提取质量
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.
- 1mo ago First seen · 63 lines · 9 tokens per session scan A 622d5dce91b7
pdf is a skill published in the GitHub repository mytk2012/python_agent (22 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 9 tokens to every session and 332 once invoked, about $0.0000 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 2026-08-30.
Other skills, from other repositories
pdf-processing
Extract text from PDFs, fill forms, and merge documents.
publishing
Publishing Stencila documents - rendering to HTML/PDF/DOCX with themes, building and pushing workspace sites, publishing to Ghost or Zenodo, and signing outputs with content credentials. Use when the user wants to publish, deploy a site, apply a theme, produce final outputs, or push to Ghost, Zenodo or Stencila Cloud.
conversion
Converting documents between formats with stencila convert - lossless vs lossy targets, quantifying conversion losses, decoding options, and ingesting documents by DOI, arXiv, or PubMed Central identifier. Use when converting to or from DOCX, PDF, LaTeX, JATS, IPYNB, MyST, Quarto or other formats, or importing…
render
Render a Stencila document - execute its code and encode to output formats.
docutranslate
Use when translating documents locally via LLM — PDF, Word, Excel, Markdown, SRT subtitles with format preservation. DocuTranslate: LLM-powered multi-format local file translation tool with MCP server support.
docx
Read, create, and convert Microsoft Word (.docx) documents — extract text and tables, build reports from markdown/JSON, and export to PDF.