pdf

pdf is a skill for Claude Code from wjgoarxiv/autoresearch-skill. It costs 63 tokens per session (1,818 once invoked), scanned A, a copy of pdf, MIT.

A toolkit for reading, creating, combining, separating, and filling PDF files. PDFs are fixed-layout documents commonly used for forms, reports, and other documents intended to look the same across devices.

In plain words
What is it for?
Use it to extract PDF text or tables, merge or split documents, inspect metadata, create PDFs, or fill PDF forms. Advanced JavaScript options and form-specific instructions are provided separately.
Why use it?
It gives an agent documented ways to process PDF files and extract their text, tables, and metadata instead of handling them manually.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the autoresearch plugin — 13 skills shipped together

Good fit Use it to extract PDF text or tables, merge or split documents, inspect metadata, create PDFs, or fill PDF forms. Advanced JavaScript options and form-specific instructions are provided separately.

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

Made for: Claude Code.

Or install autoresearch, the plugin that ships this one along with the rest of its 13 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 pdf

README.md
[![agentmods](https://agentmods.dev/badge/skills/wjgoarxiv/autoresearch-skill/original_skill/github.svg)](https://agentmods.dev/skills/wjgoarxiv/autoresearch-skill/original_skill)
Your own site
<a href="https://agentmods.dev/skills/wjgoarxiv/autoresearch-skill/original_skill"><img src="https://agentmods.dev/badge/skills/wjgoarxiv/autoresearch-skill/original_skill/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/wjgoarxiv/autoresearch-skill/original_skill"><img src="https://agentmods.dev/badge/skills/wjgoarxiv/autoresearch-skill/original_skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 63 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,818 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 78% 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 $0.00063 $0.01818
Opus 5 $0.00032 $0.00909
Sonnet 5 $0.00013 $0.00364
Haiku 4.5 $0.00006 $0.00182

Measured 12d ago against content hash 04c5f49ae7f5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, 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 12d 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.

Origin

This is a copy

78% identical to pdf — 32 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.

examples/skill-elaboration/original_skill/SKILL.md · 295 lines

How it starts

The opening of the file, as written. The whole thing — 295 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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)

pdfplumber - Text and Table Extraction

Extract Text with Layout
import pdfplumber

with pdfplumber.open("document.pdf") as pdf:
    for page in pdf.pages:
        text = page.extract_text()
        print(text)
Extract Tables
with pdfplumber.open("document.pdf") as pdf:
    for i, page in enumerate(pdf.pages):
        tables = page.extract_tables()
        for j, table in enumerate(tables):
            print(f"Table {j+1} on page {i+1}:")
            for row in table:
                print(row)

Read the full file on GitHub · 295 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. 12d ago First seen · 295 lines · 63 tokens per session scan A 04c5f49ae7f5

Subscribe to this mod's changes

pdf is a skill published in the GitHub repository wjgoarxiv/autoresearch-skill (32 stars, last pushed 2mo ago), licensed MIT. It adds 63 tokens to every session and 1,818 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 78% identical to pdf, differing in 32 lines, and is treated as a copy.

Related

Other skills, from other repositories