pdf-text-extraction-9424c5

pdf-text-extraction-9424c5 is a skill for Claude Code, Codex from HKUDS/OpenSpace. It costs 26 tokens per session (718 once invoked), scanned A, original, MIT.

A method for extracting readable text from PDF files with pdftotext when a file-reading tool returns binary or unusable data.

In plain words
What is it for?
It helps verify that a PDF exists, extract its text, preserve layout when needed, and use Python as an alternative.
Why use it?
It offers a reliable alternative for PDFs containing scanned images or complex internal formatting.

Skill for Claude CodeCodex

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

Good fit It helps verify that a PDF exists, extract its text, preserve layout when needed, and use Python as an alternative.

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Install with agentmods
npx agentmods add skills/hkuds/openspace/pdf-text-extraction-9424c5
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 · 7,544 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-9424c5
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-9424c5

README.md
[![agentmods](https://agentmods.dev/badge/skills/hkuds/openspace/pdf-text-extraction-9424c5.svg)](https://agentmods.dev/skills/hkuds/openspace/pdf-text-extraction-9424c5)
Your own site
<a href="https://agentmods.dev/skills/hkuds/openspace/pdf-text-extraction-9424c5"><img src="https://agentmods.dev/badge/skills/hkuds/openspace/pdf-text-extraction-9424c5.svg" alt="Measured on agentmods" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 718 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 $0.00026 $0.00718
Opus 5 $0.00013 $0.00359
Sonnet 5 $0.00005 $0.00144
Haiku 4.5 $0.00003 $0.00072

Measured 4d ago against content hash ab4d977fdba0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

pdf-text-extraction-9424c5 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-9424c5/SKILL.md · 101 lines

How it starts

The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PDF Text Extraction via pdftotext

Problem

When using read_file on PDF documents, the function may return binary image data or garbled content instead of readable text. This occurs because PDFs can contain scanned images or complex binary structures that read_file cannot properly parse as text.

Solution

Use the pdftotext command-line utility via run_shell to extract clean text content from PDF files.

Steps

1. Verify PDF file exists

import os

pdf_path = "path/to/document.pdf"
if not os.path.exists(pdf_path):
    raise FileNotFoundError(f"PDF not found: {pdf_path}")

2. Extract text using pdftotext

from tools import run_shell

# Extract text to stdout
result = run_shell(command=f"pdftotext '{pdf_path}' -", timeout=60)
pdf_text = result.stdout

# Alternative: extract to a temporary file
temp_txt = "/tmp/extracted.txt"
run_shell(command=f"pdftotext '{pdf_path}' '{temp_txt}'", timeout=60)
with open(temp_txt, 'r') as f:
    pdf_text = f.read()

3. Handle parameter naming carefully

When calling read_file, be aware of the parameter name:

  • Use filetype="pdf" (not file_type)
  • Some tool implementations may use different parameter names
# Correct parameter usage
content = read_file(file_path="doc.pdf", filetype="pdf")

# If this returns binary/garbled data, fall back to pdftotext

Common pdftotext Options

Option Description
- Output to stdout
-layout Maintain original layout
-f <n> Start from page n
-l <n> End at page n
-q Quiet mode

Example with options:

result = run_shell(command=f"pdftotext -layout -q '{pdf_path}' -", timeout=60)

Error Handling

from tools import run_shell

def extract_pdf_text(pdf_path):
    """Extract text from PDF using pdftotext with error handling."""
    import os
    
    if not os.path.exists(pdf_path):
        raise FileNotFoundError(f"PDF not found: {pdf_path}")
    
    result = run_shell(command=f"pdftotext '{pdf_path}' -", timeout=60)
    
    if result.returncode != 0:
        raise RuntimeError(f"pdftotext failed: {result.stderr}")
    
    return result.stdout.strip()

Read the full file on GitHub · 101 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 · 101 lines · 26 tokens per session scan A ab4d977fdba0

Subscribe to this mod's changes

pdf-text-extraction-9424c5 is a skill published in the GitHub repository HKUDS/OpenSpace (7,544 stars, last pushed 26d ago), licensed MIT. It adds 26 tokens to every session and 718 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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