multi-reviewer-patterns
multi-reviewer-patterns is a Multi-agent review & consensus skill for AI agents, published by wshobson in the agents repository on GitHub. Skillspace rates multi-reviewer-patterns C (71/100) and it passed the safety scan; a judge model has also reviewed it.
Coordinate parallel code reviews across multiple quality dimensions with finding deduplication, severity calibration, and consolidated reporting. Use this skill when organizing multi-reviewer code reviews, calibrating finding severity, or consolidating review results.
- Grade
- C
- Quality
- 71 / 100
- Safety
- Passed
- GitHub stars
- 39,622
Placed #4 of 6 in the judged category final for Multi-agent review & consensus.
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
- 94 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #4 of 6 in the judged category final for Multi-agent review & consensus.
- Trigger
78 78 - Instructions
72 72 - Specificity
85 85 - Safety
65 65 - Disclosure
75 75 - Maintenance
62 62
Strong dedup, severity, and report templates for consolidating reviews, but never explains how the parallel reviewers themselves get launched.
Not checked yet
- 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.