Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/guia-matthieu/clawfu-skillsnpx agentmods add skills/guia-matthieu/clawfu-skills/pdf-extractorWrote 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.
[](https://agentmods.dev/skills/guia-matthieu/clawfu-skills/pdf-extractor)<a href="https://agentmods.dev/skills/guia-matthieu/clawfu-skills/pdf-extractor"><img src="https://agentmods.dev/badge/skills/guia-matthieu/clawfu-skills/pdf-extractor/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.
<a href="https://agentmods.dev/skills/guia-matthieu/clawfu-skills/pdf-extractor"><img src="https://agentmods.dev/badge/skills/guia-matthieu/clawfu-skills/pdf-extractor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00042 | $0.00715 |
| Opus 5 | $0.00021 | $0.00358 |
| Sonnet 5 | $0.00008 | $0.00143 |
| Haiku 4.5 | $0.00004 | $0.00072 |
Grade A, and why
pdf-extractor 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.
How it starts
The opening of the file, as written. The whole thing — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PDF Extractor
Extract text, tables, and images from PDF files using pdfplumber - turn static PDFs into usable data.
When to Use This Skill
- Report processing - Extract data from PDF reports
- Table extraction - Convert PDF tables to CSV
- Image collection - Pull images from presentations
- Text mining - Bulk convert PDFs to searchable text
- Research - Process academic papers and whitepapers
What Claude Does vs What You Decide
| Claude Does | You Decide |
|---|---|
| Structures analysis frameworks | Metric definitions |
| Identifies patterns in data | Business interpretation |
| Creates visualization templates | Dashboard design |
| Suggests optimization areas | Action priorities |
| Calculates statistical measures | Decision thresholds |
Dependencies
pip install pdfplumber pypdf click pandas
# For image extraction:
pip install Pillow
Commands
Extract Text
python scripts/main.py text document.pdf
python scripts/main.py text document.pdf --pages 1-5
Extract Tables
python scripts/main.py tables report.pdf --output tables.csv
python scripts/main.py tables financial.pdf --page 3
Extract Images
python scripts/main.py images presentation.pdf --output ./images/
Merge PDFs
python scripts/main.py merge doc1.pdf doc2.pdf --output combined.pdf
PDF Info
python scripts/main.py info document.pdf
Examples
Example 1: Extract Financial Tables
python scripts/main.py tables annual-report.pdf --output financials.csv
# Output: financials.csv with all tables found
# Also creates individual CSVs: table_page3_1.csv, table_page5_1.csv
Example 2: Batch Convert to Text
python scripts/main.py batch ./pdfs/ --output ./text/
# Converts all PDFs in folder to .txt files
Example 3: Extract Specific Pages
python scripts/main.py text whitepaper.pdf --pages 1,5-10,15
# Extracts only pages 1, 5-10, and 15
What ships with it
2 files 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.
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.
- 12d ago First seen · 125 lines · 42 tokens per session scan A 09cccc662ec6
pdf-extractor is a skill published in the GitHub repository guia-matthieu/clawfu-skills (149 stars, last pushed 5mo ago), licensed MIT. It adds 42 tokens to every session and 715 once invoked, about $0.0002 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 2026-08-30.
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