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 pengguanya/claude-toolkit --skill pdf-extractgit clone --depth 1 https://github.com/pengguanya/claude-toolkitWrote 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/pengguanya/claude-toolkit/pdf-extract)<a href="https://agentmods.dev/skills/pengguanya/claude-toolkit/pdf-extract"><img src="https://agentmods.dev/badge/skills/pengguanya/claude-toolkit/pdf-extract/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/pengguanya/claude-toolkit/pdf-extract"><img src="https://agentmods.dev/badge/skills/pengguanya/claude-toolkit/pdf-extract.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 | $0.00116 | $0.03405 |
| Opus 5.5 | $0.00046 | $0.01362 |
| Sonnet 5.5 | $0.00023 | $0.00681 |
| Haiku 4.5 | $0.00012 | $0.00341 |
Grade B, and why
pdf-extract scanned grade B with 1 finding 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
If missing, tell the user to install: `sudo apt install poppler-utils imagemagick` How it starts
The opening of the file, as written. The whole thing — 367 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PDF-to-Markdown Extraction
Convert any PDF document into structured Markdown with extracted diagram/figure images (PNG) and a YAML manifest linking everything together.
Prerequisites
Required CLI tools (check before starting):
pdftoppm -v # from poppler-utils
convert -version # from imagemagick
If missing, tell the user to install: sudo apt install poppler-utils imagemagick
The Critical Lesson: Page Mapping First
The single biggest source of errors in PDF extraction is assuming page numbers match content structure. PDFs have cover pages, table-of-contents pages, multi-section pages, and appendices that shift everything.
You MUST build a page map before extracting anything. Read every page of the PDF to understand what content is on each page. This takes a few minutes but prevents hours of debugging wrong extractions.
Workflow
Step 1: Understand the Document
Determine from the user's request or from $ARGUMENTS:
- Source PDF path: Where the PDF is located
- Output directory: Where to write the extracted files
- Scope: The whole document, or specific pages/sections?
- Document type: Report, article, manual, form, presentation, etc.
If the user hasn't specified an output directory, create one next to the PDF
(e.g., document_name/ alongside document_name.pdf).
Step 2: Build the Page Map
Read the PDF page by page using the Read tool (it handles PDFs natively). For large PDFs, read in batches of 15-20 pages.
Read the PDF: pages "1-15"
Verify the actual page count. Don't trust content like slide footers ("1 of
8") or table-of-contents page ranges — these can be wrong. Read the last few
pages to confirm where the document actually ends. If pdftoppm fails on a page,
the PDF doesn't have that page.
For each page, record:
- Page number (1-based)
- What section/chapter it belongs to
- What content is on it (headings, body text, figures, tables, appendices)
- Whether it contains images/diagrams that need extraction
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 · 367 lines · 116 tokens per session scan B 76fd7f1f39c3
pdf-extract is a skill published in the GitHub repository pengguanya/claude-toolkit (2 stars, last pushed 6mo ago), licensed MIT. It adds 116 tokens to every session and 3,405 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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