pdf-text-extraction-fallback

pdf-text-extraction-fallback is a skill for Claude Code, Codex from HKUDS/OpenSpace. It costs 22 tokens per session (713 once invoked), scanned A, original, MIT.

A procedure for extracting PDF text with pdftotext when normal file reading returns binary data or unreadable content.

In plain words
What is it for?
It helps validate PDF-reading inputs and extract readable text from a document using a shell command.
Why use it?
It helps avoid silent failures caused by incorrect parameters or PDFs that ordinary readers cannot parse properly.

Skill for Claude CodeCodex

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

Good fit It helps validate PDF-reading inputs and extract readable text from a document using a shell command.

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Install with agentmods
npx agentmods add skills/hkuds/openspace/pdf-text-extraction-fallback
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-fallback
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-fallback

README.md
[![agentmods](https://agentmods.dev/badge/skills/hkuds/openspace/pdf-text-extraction-fallback.svg)](https://agentmods.dev/skills/hkuds/openspace/pdf-text-extraction-fallback)
Your own site
<a href="https://agentmods.dev/skills/hkuds/openspace/pdf-text-extraction-fallback"><img src="https://agentmods.dev/badge/skills/hkuds/openspace/pdf-text-extraction-fallback.svg" alt="Measured on agentmods" height="20"></a>
Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 713 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 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 $0.00022 $0.00713
Opus 5 $0.00011 $0.00357
Sonnet 5 $0.00004 $0.00143
Haiku 4.5 $0.00002 $0.00071

Measured 3d ago against content hash 484d40f0e979, 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-fallback 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 3d 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-fallback/SKILL.md · 103 lines

How it starts

The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PDF Text Extraction Fallback

When to Use This Skill

Use this skill when read_file with filetype="pdf" returns binary/image data instead of readable text content. This is a common issue with PDF files that contain embedded images or complex formatting.

Steps

1. Validate Parameters First

Before attempting extraction, ensure you're using the correct parameter name:

  • Use filetype (not file_type) for the read_file function
  • Incorrect parameter names can cause silent failures
# Correct
read_file(filetype="pdf", file_path="document.pdf")

# Incorrect - may fail silently
read_file(file_type="pdf", file_path="document.pdf")

2. Detect Binary Data Issue

After calling read_file, check if the result contains:

  • Garbled/binary characters
  • Image data representations (e.g., b'...' byte strings with non-text content)
  • Unreadable or corrupted-looking content

If yes, proceed with the pdftotext workaround.

3. Extract Text via pdftotext

Use run_shell to call pdftotext, which extracts text directly from PDF files:

# Extract text to stdout
result = run_shell(command="pdftotext /path/to/document.pdf -")
text_content = result.stdout

The - flag tells pdftotext to output to stdout instead of creating a file.

4. Handle Output and Errors

result = run_shell(command="pdftotext /path/to/document.pdf -")

if result.stderr:
    # Check for errors like "pdftotext not found"
    # May need to install poppler-utils
    pass

text_content = result.stdout
# text_content now contains the extracted text

Example Workflow

# Step 1: Try normal read with correct parameters
content = read_file(filetype="pdf", file_path="reference.pdf")

# Step 2: Check if content is readable
if not content or looks_like_binary(content):
    # Step 3: Fall back to pdftotext
    result = run_shell(command="pdftotext reference.pdf -")
    text_content = result.stdout
    
    # Step 4: Verify extraction succeeded
    if result.stderr:
        # Handle error (e.g., install pdftotext)
        pass

Read the full file on GitHub · 103 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. 3d ago First seen · 103 lines · 22 tokens per session scan A 484d40f0e979

Subscribe to this mod's changes

pdf-text-extraction-fallback is a skill published in the GitHub repository HKUDS/OpenSpace (7,534 stars, last pushed 25d ago), licensed MIT. It adds 22 tokens to every session and 713 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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