pdf-text-extraction

pdf-text-extraction is a skill for Claude Code, Codex from HKUDS/OpenSpace. It costs 16 tokens per session (885 once invoked), scanned A, original, MIT.

A collection of shell-based methods for extracting text and metadata from PDFs when normal file reading fails.

In plain words
What is it for?
It helps extract text with pdftotext, inspect PDF metadata with pdfinfo, or read pages through PyMuPDF.
Why use it?
It gives PDF-processing tasks alternatives when built-in extraction returns binary, incomplete, or unreliable results.

Skill for Claude CodeCodex

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

Good fit It helps extract text with pdftotext, inspect PDF metadata with pdfinfo, or read pages through PyMuPDF.

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Install with agentmods
npx agentmods add skills/hkuds/openspace/pdf-text-extraction
About the project

OpenSpace is a skill-management layer for AI agents that stores, retrieves, evaluates, shares, and improves reusable workflows. It is intended for people using multiple coding agents who want skills to be reused and refined based on task outcomes. The catalogue provides 200 skills for use with OpenSpace and the agents it supports.

HKUDS/OpenSpace · 7,534 stars · on GitHub

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 HKUDS/OpenSpace --skill pdf-text-extraction
Clone the repo
git clone --depth 1 https://github.com/HKUDS/OpenSpace

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-text-extraction

README.md
[![agentmods](https://agentmods.dev/badge/skills/hkuds/openspace/pdf-text-extraction.svg)](https://agentmods.dev/skills/hkuds/openspace/pdf-text-extraction)
Your own site
<a href="https://agentmods.dev/skills/hkuds/openspace/pdf-text-extraction"><img src="https://agentmods.dev/badge/skills/hkuds/openspace/pdf-text-extraction.svg" alt="Measured on agentmods" height="20"></a>
Per session 16 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 885 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
  • NVIDIA SkillSpector pass 7 Sept 2026
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 $0.00016 $0.00885
Opus 5 $0.00008 $0.00443
Sonnet 5 $0.00003 $0.00177
Haiku 4.5 $0.00002 $0.00089

Measured 4d ago against content hash d359e58c095e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

pdf-text-extraction 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 4d 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.

benchmarks/gdpval/skills/pdf-text-extraction/SKILL.md · 133 lines

How it starts

The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PDF Text Extraction (Fallback Method)

When to Use This Skill

Use this skill when read_file with filetype='pdf':

  • Returns binary image data instead of text
  • Produces errors or incomplete content
  • Fails to extract structured data reliably

The built-in PDF handler is unreliable for structured text extraction. Shell-based tools provide more robust alternatives.

Available Methods

Method 1: pdftotext (Recommended)

# Extract text from PDF to stdout
pdftotext /path/to/file.pdf -

# Extract text to a file
pdftotext /path/to/file.pdf output.txt

# Preserve layout (maintains spacing/structure)
pdftotext -layout /path/to/file.pdf output.txt

Usage in agent:

run_shell command="pdftotext -layout /path/to/document.pdf -"

Method 2: pdfinfo (Metadata)

# Get PDF metadata (pages, author, creation date, etc.)
pdfinfo /path/to/file.pdf

Usage in agent:

run_shell command="pdfinfo /path/to/document.pdf"

Method 3: Python with PyMuPDF (fitz)

import fitz  # PyMuPDF

doc = fitz.open("/path/to/file.pdf")
text = ""
for page in doc:
    text += page.get_text()
doc.close()
print(text)

Usage in agent:

run_shell command="python3 -c \"import fitz; doc=fitz.open('file.pdf'); print(''.join(p.get_text() for p in doc))\""

Method 4: Python with pdfplumber (Tables)

import pdfplumber

with pdfplumber.open("/path/to/file.pdf") as pdf:
    for page in pdf.pages:
        text = page.extract_text()
        tables = page.extract_tables()  # For tabular data

Usage in agent:

run_shell command="python3 -c \"import pdfplumber; pdf=pdfplumber.open('file.pdf'); print(''.join(p.extract_text() or '' for p in pdf.pages))\""

Workflow

  1. Try pdftotext first - Fastest and most reliable for plain text

    run_shell command="pdftotext -layout /path/to/file.pdf -"
    
  2. If pdftotext unavailable, check for Python libraries

    run_shell command="python3 -c \"import fitz; print('PyMuPDF available')\""
    

Read the full file on GitHub · 133 lines

Files

What ships with it

1 file 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. 4d ago First seen · 133 lines · 16 tokens per session scan A d359e58c095e

Subscribe to this mod's changes

pdf-text-extraction is a skill published in the GitHub repository HKUDS/OpenSpace (7,534 stars, last pushed 25d ago), licensed MIT. It adds 16 tokens to every session and 885 once invoked, about $0.0001 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 2026-09-03.

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