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Pdf extractor

Skill ondrej-merkun/skill-audit/test/fixtures/benign/pdf-extractor

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Install
npx -y skills add ondrej-merkun/skill-audit --skill pdf-extractor

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
  • 3 stars3 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

0.4 KB, 114 tokens by cl100k_base, as published. Nobody here has run it

pdf-extractor

Extracts text, tables, and metadata from PDF files using pdfplumber.

<pdf-extractor> Use this skill to process PDF documents. Supported operations: - `extract-text <file>` — extract all text from a PDF - `extract-tables <file>` — extract tabular data as JSON - `get-metadata <file>` — return author, title, page count

Requirements: pdfplumber>=0.9.0

Example:

extract-text report.pdf
</pdf-extractor>

Gives 0 of the 12 instructions most pdf office docs skills give in 114 tokens

Counted across 635 of the 690 authors here whose files we hold, read 2026-08-06

  • extract text using pdfplumberin 92 of 635, across 25 files
  • create PDFs using reportlabin 83 of 635, across 16 files
  • read FORMS.md to fill out PDF formsin 80 of 635, across 13 files
  • OCR scanned PDFs using pytesseractin 77 of 635, across 10 files
  • merge or split PDFs using qpdfin 70 of 635, across 3 files
  • use Excel formulas instead of hardcoded calculated valuesin 68 of 635, across 12 files
  • unpack edit xml and repack existing documentsin 63 of 635, across 8 files
  • document sources for hardcoded valuesin 61 of 635, across 9 files
  • write minimal python code without unnecessary commentsin 59 of 635, across 7 files
  • run the recalculation script after adding or modifying formulasin 58 of 635, across 6 files
  • fix all identified formula errors and recalculatein 58 of 635, across 6 files
  • format years as text stringsin 57 of 635, across 5 files

Said here and by no other author read

  • extract tabular data as JSON
  • return author, title, and page count
  • use pdfplumber

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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