ljg-xray-paper
ljg-xray-paper is a Literature review & citations skill for AI agents, published by lijigang in the ljg-skill-xray-paper repository on GitHub. Skillspace rates ljg-xray-paper D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Paper X-ray. Extracts what the paper says (problem-perspective-result) and what it means for lijigang (cognitive delta cards in ASCII art). Use when user shares an arxiv link, paper URL, PDF, or asks to analyze a research paper. Usually called via ljg-xray router. Do NOT use for blog posts or non-academic articles (use ljg-xray-article instead).
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 595
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
- Not declared. Check the repository before reusing it.
- 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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