inno-paper-reviewer
inno-paper-reviewer is a Peer review & grants skill for AI agents, published by OpenLAIR in the dr-claw repository on GitHub. Skillspace rates inno-paper-reviewer C (77/100) and it passed the safety scan; the rating is based on static analysis only.
Structured manuscript/grant review with checklist-based evaluation. Use when writing formal peer reviews with specific criteria methodology assessment, statistical validity, reporting standards compliance (CONSORT/STROBE), and constructive feedback. Best for actual review writing, manuscript revision. For evaluating claims/evidence quality use scientific-critical-thinking; for quantitative scoring frameworks use scholar-evaluation.
- Grade
- C
- Quality
- 77 / 100
- Safety
- Passed
- GitHub stars
- 1,030
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
- 93 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 2 other repositories, in 1 collections
- Scope
- Portable: works in any project. General peer-review methodology for manuscripts and grants
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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