multi-agent-review
multi-agent-review is a Multi-agent review & consensus skill for AI agents, published by Shubchynskyi in the garda-agent-orchestrator repository on GitHub. Skillspace rates multi-agent-review D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Coordinates multiple specialized reviewer agents over one change set to produce a single trustworthy review. Use when a review task is decomposed into parallel specialist scopes (security, performance, correctness, style), when multiple sub-agents independently gather evidence, or when findings from different reviewers must be deduplicated, calibrated, and synthesized before a final verdict. Trigger phrases: multi-agent review, parallel review, reviewer fan-out, review synthesis, reviewer coordination. Do NOT use for single-reviewer code review or for generic agent teamwork unrelated to change-set review.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 24
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
- 84 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- Low-risk patterns
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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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