pdf-extraction-fallback-80956b

pdf-extraction-fallback-80956b is a skill for Claude Code, Codex from HKUDS/OpenSpace. It costs 22 tokens per session (1,715 once invoked), scanned A, original, MIT.

A multi-step workflow for checking downloaded PDFs and trying alternative ways to extract their text.

In plain words
What is it for?
It helps process PDFs from protected or dynamic websites and other unreliable sources.
Why use it?
A download can produce an error page instead of a PDF, and the first extraction method may fail. Early validation and fallback methods help identify and handle those failures.

Skill for Claude CodeCodex

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

Good fit It helps process PDFs from protected or dynamic websites and other unreliable sources.

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Install with agentmods
npx agentmods add skills/hkuds/openspace/pdf-extraction-fallback-80956b
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-extraction-fallback-80956b
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-extraction-fallback-80956b

README.md
[![agentmods](https://agentmods.dev/badge/skills/hkuds/openspace/pdf-extraction-fallback-80956b.svg)](https://agentmods.dev/skills/hkuds/openspace/pdf-extraction-fallback-80956b)
Your own site
<a href="https://agentmods.dev/skills/hkuds/openspace/pdf-extraction-fallback-80956b"><img src="https://agentmods.dev/badge/skills/hkuds/openspace/pdf-extraction-fallback-80956b.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 1,715 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 2 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 $0.00022 $0.01715
Opus 5 $0.00011 $0.00857
Sonnet 5 $0.00004 $0.00343
Haiku 4.5 $0.00002 $0.00171

Measured 4d ago against content hash 1b07f86c0d8f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

pdf-extraction-fallback-80956b scanned grade A with 2 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -L -o output.pdf "https://example.com/document.pdf"

Runs shell commandslowCapability

Expected in a hook, worth knowing in a rule or an instructions file.

subprocess.run(["curl", "-L", "-o", output_path, url], check=True)
benchmarks/gdpval/skills/pdf-extraction-fallback-80956b/SKILL.md · 253 lines

How it starts

The opening of the file, as written. The whole thing — 253 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PDF Extraction Fallback Workflow

This skill provides a robust, multi-layered approach to downloading and extracting text from PDF documents when sources may be protected, corrupted, or inaccessible via standard methods.

When to Use

  • Downloading regulatory documents, handbooks, or official PDFs from government/enterprise websites
  • Sources that may have JavaScript protection, CORS restrictions, or dynamic content
  • When initial PDF downloads produce suspiciously small files or error content
  • Any scenario requiring reliable text extraction from potentially problematic PDF sources

Core Workflow

Step 1: Download with Validation

# Download PDF with size check
curl -L -o output.pdf "https://example.com/document.pdf"

# Early failure detection: check file size
file_size=$(stat -c%s output.pdf 2>/dev/null || stat -f%z output.pdf)

if [ "$file_size" -lt 1000 ]; then
    echo "WARNING: File size ($file_size bytes) suggests failed download or error page"
    # Check for HTML/JavaScript error content
    if head -c 500 output.pdf | grep -qi "<html\|<script\|error\|access denied"; then
        echo "FAILURE: File contains error message, not PDF content"
        rm output.pdf
        # Proceed to alternative download method
    fi
fi

Step 2: Sequential Extraction Fallbacks

Try extraction methods in order, moving to next on failure:

Fallback 1: pdftotext (command-line)
if command -v pdftotext &> /dev/null; then
    pdftotext output.pdf output.txt
    if [ -s output.txt ] && [ $(wc -c < output.txt) -gt 100 ]; then
        echo "SUCCESS: pdftotext extraction"
        exit 0
    fi
fi
Fallback 2: PyMuPDF (fitz)
import fitz  # PyMuPDF

def extract_with_pymupdf(pdf_path):
    try:
        doc = fitz.open(pdf_path)
        text = ""
        for page in doc:
            text += page.get_text()
        doc.close()
        if len(text.strip()) > 100:
            return text
        return None
    except Exception as e:
        print(f"PyMuPDF failed: {e}")
        return None

Read the full file on GitHub · 253 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 · 253 lines · 22 tokens per session scan A 1b07f86c0d8f

Subscribe to this mod's changes

pdf-extraction-fallback-80956b is a skill published in the GitHub repository HKUDS/OpenSpace (7,534 stars, last pushed 26d ago), licensed MIT. It adds 22 tokens to every session and 1,715 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 2 findings (makes network calls, runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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