pdf

pdf is a skill for Claude Code, Codex from peintune/runjam. It costs 50 tokens per session (1,939 once invoked), scanned A, a copy of pdf, MIT.

A toolkit for reading, creating, editing, merging, splitting, and filling in PDF documents using Python and command-line tools.

In plain words
What is it for?
Use it to extract text or tables, generate PDFs, combine or separate documents, and fill out PDF forms.
Why use it?
It removes the need to handle PDF text, tables, pages, and forms manually. It also gives one guide for common PDF processing tasks.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to extract text or tables, generate PDFs, combine or separate documents, and fill out PDF forms.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/peintune/runjam/pdf
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 peintune/runjam --skill pdf
Clone the repo
git clone --depth 1 https://github.com/peintune/runjam

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/peintune/runjam/pdf/github.svg)](https://agentmods.dev/skills/peintune/runjam/pdf)
Your own site
<a href="https://agentmods.dev/skills/peintune/runjam/pdf"><img src="https://agentmods.dev/badge/skills/peintune/runjam/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 pdf

Your own site · 80×15
<a href="https://agentmods.dev/skills/peintune/runjam/pdf"><img src="https://agentmods.dev/badge/skills/peintune/runjam/pdf.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,939 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.
Origin 77% copy Near-identical to another mod 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 $0.00050 $0.01939
Opus 5.5 $0.00020 $0.00776
Sonnet 5.5 $0.00010 $0.00388
Haiku 4.5 $0.00005 $0.00194

Measured 1mo ago against content hash 59a94796276f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 1mo ago.

The scan reads SKILL.md. This mod also ships 10 executable files (scripts/check_bounding_boxes_test.py, scripts/check_bounding_boxes.py, scripts/check_fillable_fields.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.

Origin

This is a copy

77% identical to pdf — 70 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

src-tauri/builtin-skills/pdf/SKILL.md · 313 lines

How it starts

The opening of the file, as written. The whole thing — 313 lines — stays where its author put it; the contents beside it link to each section on GitHub.

⚠️ Platform note — read before running any command. The command examples here are written for macOS / Linux. On Windows: run python (or py) instead of python3, use $env:USERPROFILE\… and backslashes instead of ~/…, and translate any shell pipes/redirects (|, >, &&) to their PowerShell equivalents before running. The scripts themselves are cross-platform; only the way you invoke them differs.

PDF Processing Guide

Overview

This guide covers essential PDF processing operations using Python libraries and command-line tools. For advanced features, JavaScript libraries, and detailed examples, see reference.md. If you need to fill out a PDF form, read forms.md and follow its instructions.

Quick Start

from pypdf import PdfReader, PdfWriter

# Read a PDF
reader = PdfReader("document.pdf")
print(f"Pages: {len(reader.pages)}")

# Extract text
text = ""
for page in reader.pages:
    text += page.extract_text()

Python Libraries

pypdf - Basic Operations

Merge PDFs
from pypdf import PdfWriter, PdfReader

writer = PdfWriter()
for pdf_file in ["doc1.pdf", "doc2.pdf", "doc3.pdf"]:
    reader = PdfReader(pdf_file)
    for page in reader.pages:
        writer.add_page(page)

with open("merged.pdf", "wb") as output:
    writer.write(output)
Split PDF
reader = PdfReader("input.pdf")
for i, page in enumerate(reader.pages):
    writer = PdfWriter()
    writer.add_page(page)
    with open(f"page_{i+1}.pdf", "wb") as output:
        writer.write(output)
Extract Metadata
reader = PdfReader("document.pdf")
meta = reader.metadata
print(f"Title: {meta.title}")
print(f"Author: {meta.author}")
print(f"Subject: {meta.subject}")
print(f"Creator: {meta.creator}")
Rotate Pages
reader = PdfReader("input.pdf")
writer = PdfWriter()

page = reader.pages[0]
page.rotate(90)  # Rotate 90 degrees clockwise
writer.add_page(page)

with open("rotated.pdf", "wb") as output:
    writer.write(output)

Read the full file on GitHub · 313 lines

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. 1mo ago First seen · 313 lines · 50 tokens per session scan A 59a94796276f

Subscribe to this mod's changes

pdf is a skill published in the GitHub repository peintune/runjam (228 stars, last pushed 3d ago), licensed MIT. It adds 50 tokens to every session and 1,939 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 77% identical to pdf, differing in 70 lines, and is treated as a copy.

Related

Other skills, from other repositories

nsfc-budget

A tool that creates an editable LaTeX budget justification and renders it as a PDF for an NSFC research-funding application. NSFC is China’s National Natural Science Foundation, and a budget justification explains why proposed costs are needed.

huangwb8/ChineseResearchLaTeX · 138 tokens

nsfc-ref-alignment

A read-only checker for references in NSFC LaTeX proposals. It compares citations with the bibliography and flags missing entries, field errors, and possible mismatches between claims and papers.

huangwb8/ChineseResearchLaTeX · 90 tokens

document-processing

Use when the deliverable is a document's bytes or its literal content — text/tables out of PDFs, AcroForm fill and flatten, page merge/split, PDF/DOCX from templates, OCR of image-only scans. NOT schema-typed fields pulled from text (that is structured-extraction), NOT signature routing (e-signature) or spreadsheet…

ericrisco/rsc-harness · 84 tokens

nutrient-document-processing

A guide for processing documents through the Nutrient DWS API, an online service for converting, reading, editing, and signing files. It supports PDFs, office documents, web pages, and images.

loulanyue/awesome-claude-notes · 62 tokens

kb-import

Import knowledge from existing documents into structured KB entries. Reads source documents (Markdown, PDF, DOCX, plain text), extracts key information, and creates properly formatted KB entries with YAML frontmatter.

techwolf-ai/ai-first-toolkit · 42 tokens

mathodology-award-gates

Use when reviewing mathematical validity, evidence, reproducibility, figures or a submission draft.

sweetcornna/mathodology · 25 tokens