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document-pdf

document-pdf is a skill for Claude Code, Codex from vasilyu1983/AI-Agents-public. It costs 42 tokens per session (2,772 once invoked), scanned A, original, MIT.

A toolkit for reading, creating, changing, and analyzing PDF files, including their text, tables, pages, and forms.

In plain words
What is it for?
Use it to extract data, generate invoices or reports, merge pages, and work with PDF forms.
Why use it?
It helps handle both digital PDFs and scanned documents, while accounting for issues such as OCR, accessibility, metadata, and redaction.

Skill for Claude CodeCodex

Written for Claude Code and Codex: allowed-tools in frontmatter, but also agents/openai.yaml present. Also seen: mentions Claude Code; mentions Codex.

Part of the ai-agents plugin — 144 skills shipped together

not rated 101repo changed 20d ago A scan Socket: passSnyk: passSkillSpector: warn 42 tokens original MIT

Good fit Use it to extract data, generate invoices or reports, merge pages, and work with PDF forms.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/vasilyu1983/ai-agents-public/document-pdf
View source ↗ vasilyu1983/AI-Agents-public
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.

Any agent
npx skills add vasilyu1983/AI-Agents-public --skill document-pdf
Clone the repo
git clone --depth 1 https://github.com/vasilyu1983/AI-Agents-public

Made for: Claude Code, Codex.

Or install ai-agents, the plugin that ships this one along with the rest of its 144 skills.

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 document-pdf

README.md
[![agentmods](https://agentmods.dev/badge/skills/vasilyu1983/ai-agents-public/document-pdf/github.svg)](https://agentmods.dev/skills/vasilyu1983/ai-agents-public/document-pdf)
Your own site
<a href="https://agentmods.dev/skills/vasilyu1983/ai-agents-public/document-pdf"><img src="https://agentmods.dev/badge/skills/vasilyu1983/ai-agents-public/document-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.

agentmods 80×15 button for document-pdf

Your own site · 80×15
<a href="https://agentmods.dev/skills/vasilyu1983/ai-agents-public/document-pdf"><img src="https://agentmods.dev/badge/skills/vasilyu1983/ai-agents-public/document-pdf.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,772 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 5 Oct 2026
  • Snyk pass 23 Sept 2026
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 196
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
How audits are shown
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 5.1 $0.00042 $0.02772
Opus 5.5 $0.00017 $0.01109
Sonnet 5.5 $0.00008 $0.00554
Haiku 4.5 $0.00004 $0.00277

Measured 20d ago against content hash 2871d3acd73f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

document-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 20d ago.

The scan reads SKILL.md. This mod also ships 5 executable files (scripts/merge_pdfs.py, scripts/rotate_pdf.py, scripts/scrub_metadata.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/universal/document-pdf/SKILL.md · 137 lines

How it starts

The opening of the file, as written. The whole thing — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Document PDF Skill — Quick Reference

Boundary: when the official Anthropic pdf skill is available, prefer it for plain create, merge/split, form fill, and CLI (qpdf/pdftotext) work. Use this skill for its unique lanes: accessibility (PDF/UA-1/UA-2, EAA), real redaction and its evidence gate, metadata scrubbing, pyHanko signing, OCR/table extraction discipline, and PyMuPDF/pdf-lib licensing and maintenance risk.

  • EU compliance: scope the product/service and national implementation before applying the EAA to a PDF. Verify that any cited harmonised standard supports the specific applicable legislation in the Official Journal; an EN 301 549 citation under another directive is insufficient. Load references/pdf-accessibility-compliance.md for that scoping step.
  • Metadata exists in multiple layers: PDF Info/XMP, filesystem dates, and OS extended attributes. Scrubbing one layer leaves the others available.

Core Decision Rules

  • First decide: born-digital PDF (selectable text) vs scanned PDF (images). Scanned PDFs usually require OCR; see references/pdf-extraction-patterns.md.
  • If the user needs accessibility/compliance, prefer generating from a source format that supports structure (DOCX/HTML + proper export) rather than “post-fixing” an untagged PDF.
  • For deterministic ops (merge/split/rotate/scrub), prefer scripts/ helpers over re-implementing ad hoc.
  • Never treat black rectangles or overlays as redaction. Real redaction removes the content bytes: PyMuPDF page.add_redact_annot(rect) then page.apply_redactions() per page, then save. Prove it with the redaction evidence gate.
  • Password protection: pypdf writer.encrypt(..., algorithm='AES-256') (security handler R6). Omitting algorithm writes RC4-128, so always pass it; use AES-256-R5 only for a named legacy reader. Permission flags are advisory, not security. See references/pdf-security-redaction.md.
  • Table extraction is probabilistic, not deterministic: run pdfplumber first and spot-check output against the source page; escalate to Camelot only when columns/rows are visibly wrong, and always inspect Camelot's per-table accuracy score rather than trusting output blindly.
  • PyMuPDF/fitz (used by scrub_metadata.py and most redaction/OCR-prep code below) is dual-licensed AGPL-3.0 / commercial. Flag this before shipping it inside a closed-source product or SaaS backend — AGPL's network-use clause can trigger a source-disclosure obligation; get a commercial license from Artifex or substitute pypdf/pdfplumber where the required functionality overlaps.
  • pdf-lib (Node): check the upstream package's release activity before depending on it. If it is stale and you need ongoing fixes, evaluate a maintained fork before committing, and pin the dependency either way.

Read the full file on GitHub · 137 lines

Files

What ships with it

18 files 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.

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. 20d ago Changed · -114 lines · +10 tokens per session 2871d3acd73f
  2. 1mo ago Changed · +1 lines 8d3e7f7976c0
  3. 1mo ago First seen · 250 lines · 32 tokens per session scan A afc793f02a94

Subscribe to this mod's changes

document-pdf is a skill published in the GitHub repository vasilyu1983/AI-Agents-public (101 stars, last pushed 10d ago), licensed MIT. It adds 42 tokens to every session and 2,772 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 2026-08-30.

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