Pdf reader
Lint Anthropic Agent Skills (SKILL.md) in CI: referential integrity + name/trigger collisions between skills. Language-agnostic, zero-dep.
npx -y skills add hyuga611/skills-lint --skill pdf-readerAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- 18 days oldThe repository was created 18 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.
- 0 stars0 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
PDFファイルからテキストや表を抽出して要約する。レシート・請求書・論文などの読み取りに使う。
SKILL.md
0.3 KB, 32 tokens by cl100k_base, as published. Nobody here has run it
PDF Reader
PDF を読み取ってテキスト化します。抽出には scripts/extract.py を使います。
What ships with it: 1 file
89 B alongside SKILL.md, 1 of them executable
scripts/
- extract.pyruns89 B
Gives 0 of the 12 instructions most pdf office docs skills give in 32 tokens
Counted across 636 of the 690 authors here whose files we hold, read 2026-08-07
- extract text using pdfplumberin 89 of 636, across 23 files
- create PDFs using reportlabin 83 of 636, across 16 files
- read forms.md to fill out pdf formsin 80 of 636, across 13 files
- OCR scanned PDFs using pytesseractin 77 of 636, across 10 files
- merge or split PDFs using qpdfin 70 of 636, across 3 files
- use excel formulas instead of hardcoded calculated valuesin 68 of 636, across 13 files
- unpack edit xml and repack existing documentsin 63 of 636, across 8 files
- document sources for hardcoded valuesin 61 of 636, across 9 files
- write minimal python code without unnecessary commentsin 59 of 636, across 7 files
- run the recalculation script after adding or modifying formulasin 59 of 636, across 7 files
- fix all identified formula errors and recalculatein 58 of 636, across 6 files
- format years as text stringsin 57 of 636, across 5 files
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.