spec-peer-review
spec-peer-review is a Multi-agent review & consensus skill for AI agents, published by compozy in the compozy repository on GitHub. Skillspace rates spec-peer-review D (67/100) and it passed the safety scan; the rating is based on static analysis only.
Cross-LLM peer review of a spec — TechSpec, design doc, RFC, or detailed PRD — run via `compozy exec`, producing one scoped Markdown findings artifact for user-directed incorporation. Use when the user has approved a spec draft and explicitly wants an external review round, especially for autonomy/network/security/migration-impacting designs. Project-agnostic: any repo, any language. Don't use for implementation/diff review (use impl-peer-review) or as an automatic/looping approval gate.
- Grade
- D
- Quality
- 67 / 100
- Safety
- Passed
- GitHub stars
- 2,371
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
- 76 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 2 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Explicitly project-agnostic review run through the Compozy CLI
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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