pdf

A PDF-processing skill for extracting text, tables, images, metadata, page counts, and word or character counts from PDF files. PDFs are fixed-layout documents that may contain text, scanned pages, or tables.

In plain words
What is it for?
Extracting PDF text, converting tables to CSV, extracting images, analyzing metadata, and handling scanned documents that may need OCR.
Why use it?
It turns information locked inside PDFs into text or CSV files and identifies document details for analysis.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/mytk2012/python_agent/pdf
Any agent
npx skills add mytk2012/python_agent --skill pdf
Clone the repo
git clone --depth 1 https://github.com/mytk2012/python_agent

Made for: Claude Code, Codex.

Per session 9 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 332 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00009 $0.00332
Opus 5 $0.00005 $0.00166
Sonnet 5 $0.00002 $0.00066
Haiku 4.5 $0.00001 $0.00033

Measured yesterday against content hash 622d5dce91b7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 yesterday.

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.

skills/pdf/SKILL.md · 63 lines

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

  1. 在处理大型PDF时,考虑分批处理
  2. 对于加密的PDF,需要先解密
  3. 提取表格时,建议指定输出目录以便管理
  4. 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
Changes

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.

  1. yesterday First seen · 63 lines · 9 tokens per session scan A 622d5dce91b7

Subscribe to this mod's changes

pdf is a skill published in the GitHub repository mytk2012/python_agent (22 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 9 tokens to every session and 332 once invoked, about $0.0000 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 2026-08-30.

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