pdf-vision
pdf-vision is a Document generation & office files skill for AI agents, published by cdeistopened in the skill-stack repository on GitHub. Skillspace rates pdf-vision C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Gemini vision-powered PDF to markdown converter. Handles scanned docs, multi-column layouts, tables, footnotes, flowcharts, and degraded documents that text-based extraction destroys. Uses two-tier model routing (cheap model for clean digital pages, capable model for everything else) with per-chunk confidence scoring, anti-hallucination detection, and continual learning from user corrections. Use when a user needs to convert, extract, analyze, or process any PDF document — especially scanned documents, government forms, legal contracts, academic papers, or anything where pypdf/pdfplumber returns garbage or nothing.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 20
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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