paper-insight
paper-insight is a Literature review & citations skill for AI agents, published by Stars-Shen in the Paper-insight-skill repository on GitHub. Skillspace rates paper-insight C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Structured scholarly paper reading and research ideation. Use when Codex needs to read or summarize papers/PDFs, judge innovations, score paper quality and reading priority, compare related work, draft related work sections, expand a literature map with backward/forward citation chaining, identify limitations, incubate research ideas, propose feasible future research directions, map papers into the user's project, check reproducibility/code availability, or apply a general domain checklist for psychology, human-centered research, NLP, ML, AI, or other scholarly areas.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 44
Unproven: rated by static analysis only, not yet compared head-to-head.
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
- 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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