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 ericwang915/PythonClaw --skill pdf_readergit clone --depth 1 https://github.com/ericwang915/PythonClawWrote 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/ericwang915/pythonclaw/pdf_reader)<a href="https://agentmods.dev/skills/ericwang915/pythonclaw/pdf_reader"><img src="https://agentmods.dev/badge/skills/ericwang915/pythonclaw/pdf_reader/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/ericwang915/pythonclaw/pdf_reader"><img src="https://agentmods.dev/badge/skills/ericwang915/pythonclaw/pdf_reader.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00055 | $0.00422 |
| Opus 5.5 | $0.00022 | $0.00169 |
| Sonnet 5.5 | $0.00011 | $0.00084 |
| Haiku 4.5 | $0.00006 | $0.00042 |
Grade A, and why
pdf_reader 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 1mo 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 Reader Skill
Extract text and metadata from PDF files using PyPDF2.
When to Use
✅ USE this skill when:
- "Read this PDF"
- "Extract pages 2-4 from report.pdf"
- "What's in this PDF?"
- "Get PDF metadata"
- User wants to read or summarize content from a PDF
When NOT to Use
❌ DON'T use this skill when:
- Scanned/image PDFs (no embedded text) → use OCR tools
- PDF editing or creating → use PDF manipulation libraries
- Extracting images or embedded media → use specialized PDF tools
Usage/Commands
python {skill_path}/read_pdf.py PATH_TO_PDF [options]
Options:
--pages 1-5— extract only specific pages (1-indexed, supports ranges)--metadata— include PDF metadata (author, title, creation date)--format json— output as JSON--summary— show page count and character count overview only
Examples
- "Read this PDF" →
python {skill_path}/read_pdf.py document.pdf - "Extract pages 2-4 from report.pdf" →
python {skill_path}/read_pdf.py report.pdf --pages 2-4 - "What's in this PDF?" →
python {skill_path}/read_pdf.py file.pdf --summary - "Get PDF metadata" →
python {skill_path}/read_pdf.py file.pdf --metadata
Notes
- Install dependency:
pip install PyPDF2 - Works best with PDFs that have embedded text (not scanned images)
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.
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.
- 1mo ago First seen · 52 lines · 55 tokens per session scan A 43a9ba3a2389
pdf_reader is a skill published in the GitHub repository ericwang915/PythonClaw (45 stars, last pushed 10d ago), licensed MIT. It adds 55 tokens to every session and 422 once invoked, about $0.0002 per session on Opus 5.5. 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.
Other skills, from other repositories
pdf-generator
A document tool that turns Markdown, HTML, plain text, or template data into paginated PDF files. It supports A4 pages, page numbers, automatic page breaks, and Chinese text.
pdf-processor
A tool for working with PDF files: it can read text and tables, combine or split documents, convert pages to images, and show basic file details.
document-suite
A single document-processing toolkit for PDF, Word, Excel, PowerPoint, and Markdown files. It chooses a document-specific handler based on the file type or requested task.
save-as-pdf
Reformat the current HTML design into a paginated, paper-ready PDF. The "Instant" export already gives the user a PDF at the design's native pixel size — this path is for when they want real pages.
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…
docs-artifact
Use when creating, editing, or reviewing a document for the user (Word, Google Docs, or a document delivered as PDF), or when the task calls for a standalone written deliverable such as a memo, report, proposal, or brief. Also use to answer questions that require inspecting an existing document; not for a short chat…