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Nano pdf

Skill yunseo-kim/agent-toolbox/catalog/skills/nano-pdf

A trusted, curated cross-tool registry for agent components, with end-to-end provenance and automated security vetting of skills, MCP servers, and hooks.

Install
npx -y skills add yunseo-kim/agent-toolbox --skill nano-pdf

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.
  • 1 stars1 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.

What its author says it does

Copied from the file, not written here

Lightweight PDF processing from the command line. Use when working with PDF files for extraction, conversion, or manipulation.

The file declares its own license as Sustainable Use License 1.0. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

0.8 KB, 106 tokens by cl100k_base, as published. Nobody here has run it

nano-pdf

Use nano-pdf to apply edits to a specific page in a PDF using a natural-language instruction.

Quick start

nano-pdf edit deck.pdf 1 "Change the title to 'Q3 Results' and fix the typo in the subtitle"

Notes:

  • Page numbers are 0-based or 1-based depending on the tool’s version/config; if the result looks off by one, retry with the other.
  • Always sanity-check the output PDF before sending it out.

Gives 0 of the 12 instructions most pdf office docs skills give in 106 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

  • Use nano-pdf for PDF edits
  • Provide target PDF filename
  • Provide target page number
  • Provide edit instruction in natural language
  • Retry with alternate page numbering if output is off
  • Sanity-check the output PDF before sending

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.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.