pdf-tools

pdf-tools is a skill for Claude Code, Codex from ag2ai/ag2-assistant. It costs 52 tokens per session (494 once invoked), scanned A, original, Apache-2.0.

A guide for working with PDF files, which are fixed-layout documents that may contain text, tables, forms, or scanned pages. It covers reading, extracting content, and changing page structure.

In plain words
What is it for?
Use it to read or summarise PDFs, extract text or tables, split or merge pages, and fill PDF forms.
Why use it?
It helps choose between visual reading and text extraction, and provides approaches for common PDF tasks.

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/ag2ai/ag2-assistant/pdf-tools
Any agent
npx skills add ag2ai/ag2-assistant --skill pdf-tools
Clone the repo
git clone --depth 1 https://github.com/ag2ai/ag2-assistant

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for pdf-tools

README.md
[![agentmods](https://agentmods.dev/badge/skills/ag2ai/ag2-assistant/pdf-tools.svg)](https://agentmods.dev/skills/ag2ai/ag2-assistant/pdf-tools)
Your own site
<a href="https://agentmods.dev/skills/ag2ai/ag2-assistant/pdf-tools"><img src="https://agentmods.dev/badge/skills/ag2ai/ag2-assistant/pdf-tools.svg" alt="Measured on agentmods" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 494 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 $0.00052 $0.00494
Opus 5 $0.00026 $0.00247
Sonnet 5 $0.00010 $0.00099
Haiku 4.5 $0.00005 $0.00049

Measured 5d ago against content hash 20b5384c3b0b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

pdf-tools 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 5d 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.

src/assistant/skills/pdf-tools/SKILL.md · 50 lines

What it actually says

Working with PDFs

Reading a PDF

  • To understand or summarise a PDF the user points you at, use the read_file tool with its path. AG2 Assistant hands PDFs to the model as visual content, so this works even for scanned PDFs with no text layer (forms, signed documents, image scans). Ask permission the first time if prompted.
  • For a born-digital PDF where you need the exact text (to quote precisely, count, or post-process), extract the text via code execution instead (below).

Manipulating a PDF (code execution)

Use the code-execution tool. Prefer pypdf (pure-Python, no system deps); fall back to pdfplumber for tables. Install on first use if missing (pip install pypdf).

  • Extract text:
    from pypdf import PdfReader
    r = PdfReader("in.pdf")
    print("\n".join(page.extract_text() or "" for page in r.pages))
    
  • Split / select pages:
    from pypdf import PdfReader, PdfWriter
    r = PdfReader("in.pdf"); w = PdfWriter()
    for i in (0, 1, 2):      # first three pages
        w.add_page(r.pages[i])
    with open("out.pdf", "wb") as f: w.write(f)
    
  • Merge: add pages from several PdfReaders into one PdfWriter.
  • Tables: pdfplumberpage.extract_tables() is more reliable than plain text extraction for tabular data.

Tips

  • If text extraction returns empty strings, the PDF is scanned/image-only — read it visually with read_file instead.
  • Always tell the user where you wrote any output file.
  • Don't fabricate content you couldn't extract — say what failed and ask how to proceed.
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. 5d ago First seen · 50 lines · 52 tokens per session scan A 20b5384c3b0b

Subscribe to this mod's changes

pdf-tools is a skill published in the GitHub repository ag2ai/ag2-assistant (11 stars, last pushed yesterday), licensed Apache-2.0. It adds 52 tokens to every session and 494 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 2026-08-30.