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.
npx skills add cxcscmu/SkillLearnBench --skill pdf-extractiongit clone --depth 1 https://github.com/cxcscmu/SkillLearnBenchWrote 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/cxcscmu/skilllearnbench/pdf-extraction)<a href="https://agentmods.dev/skills/cxcscmu/skilllearnbench/pdf-extraction"><img src="https://agentmods.dev/badge/skills/cxcscmu/skilllearnbench/pdf-extraction.svg" alt="Measured on agentmods" 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 | $0.00014 | $0.00239 |
| Opus 5 | $0.00007 | $0.00120 |
| Sonnet 5 | $0.00003 | $0.00048 |
| Haiku 4.5 | $0.00001 | $0.00024 |
Grade A, and why
pdf-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 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.
What it actually says
PDF Extraction Skill
This skill provides methods for extracting text from PDF files, which is essential for categorizing academic papers and documents.
Methods
1. Using pdftotext (Command Line)
pdftotext is a fast utility for converting PDF files to plain text.
pdftotext "filename.pdf" "output.txt"
To read the first few pages (often enough for classification):
pdftotext -f 1 -l 2 "filename.pdf" - | head -n 50
2. Using Gemini CLI pdf Skill
If the pdf skill is activated, you can use its tools to extract text or analyze forms.
// Example usage after activating skill
await pdf.extractText({ file_path: "document.pdf" });
Usage Pattern for Classification
- Extract the first page or the abstract.
- Search for key terms related to the target subjects.
- Use the extracted text to decide the destination folder.
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.
- 3d ago First seen · 36 lines · 14 tokens per session scan A 4081e69e88f2
pdf-extraction is a skill published in the GitHub repository cxcscmu/SkillLearnBench (83 stars, last pushed 1mo ago), licensed MIT. It adds 14 tokens to every session and 239 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.
Other skills, from other repositories
pdf-editing
Complete guide for reading and editing PDF documents with PyMuPDF.
PDF manipulation toolkit. Extract text/tables, create PDFs, merge/split, fill forms, for programmatic document processing and analysis.
academic-pdf-redaction
Redact text from PDF documents for blind review anonymization.
marker
Convert PDF documents to Markdown using markersingle. Use when Claude needs to extract text content from PDFs while preserving LaTeX formulas, equations, and document structure. Ideal for academic papers and technical documents containing mathematical notation.
Use this skill when a task requires reading, creating, splitting, merging, or otherwise manipulating PDF files.
Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and…