rigor-reviewer
rigor-reviewer is a Non-code artifact review skill for AI agents, published by ARA-Labs in the Agent-Native-Research-Artifact repository on GitHub. Skillspace rates rigor-reviewer D (66/100) and it passed the safety scan; the rating is based on static analysis only.
ARA Seal Level 2: Semantic Epistemic Review. Acts as an objective research reviewer for Agent-Native Research Artifacts. Assumes Level 1 structural validation has already passed. Evaluates six dimensions of epistemic quality through semantic reasoning over the ARA's content. Produces a scored review with per-dimension strengths/weaknesses/suggestions, severity-ranked findings, and an overall recommendation (Strong Accept to Reject). TRIGGERS: level2, seal level 2, verify level 2, epistemic audit, review ara, audit claims
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 499
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
- 84 / 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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