paper-self-review
paper-self-review is an Academic writing & papers skill for AI agents, published by Galaxy-Dawn in the claude-scholar repository on GitHub. Skillspace rates paper-self-review B (81/100) and it passed the safety scan; the rating is based on static analysis only.
This skill should be used when the user asks to "review paper quality", "check paper completeness", "validate paper structure", "self-review before submission", "audit claims", "check overclaiming", "verify whether results support claims", or mentions systematic paper quality checking. Provides comprehensive quality assurance checklist for academic papers.
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- GitHub stars
- 4,638
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
- MIT
- Adoption
- Adopted by 2 other repositories, in 1 collections
- Scope
- Portable: works in any project. Generic academic paper quality checklist before submission
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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