paper2html
paper2html is a Pages & visual deliverables skill for AI agents, published by cnfjlhj in the ai-collab-playbook repository on GitHub. Skillspace rates paper2html B (81/100) and it passed the safety scan; the rating is based on static analysis only.
Use when turning an academic paper PDF/arXiv/OpenReview page/local LaTeX source into a single-file Chinese HTML deep-reading page, especially when the user wants a Cheat-Sheet style explanation, KaTeX formulas, figure/table evidence, validation, or a publishable research page.
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- GitHub stars
- 415
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
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 1 collections
- Scope
- Portable: works in any project. General paper-to-HTML reading page workflow
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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