code-review

Installation
SKILL.md

Code Review - Multi-Agent Local Review

Overview

Runs five specialized review agents in parallel, each focused on exactly one concern, then runs a verifier pass that keeps only the evidence-backed findings, then merges them into a single report sorted by severity. Keeps each reviewer in its lane so nothing drifts into generic "looks fine" commentary.

Core principle: Narrow-scope reviewers find more real issues than one broad reviewer trying to cover everything.

Model tier: Designed for Opus or Sonnet-tier models. Haiku may need more guidance — prefer Sonnet+ for the reviewer agents.

The Five Reviewers

  1. basics — surface-level hygiene (unused imports, dead code, stale comments, debug statements, orphaned symbols)
  2. architecture — pattern fit with siblings (must read 3-5 sibling files first; flags structural holes peers would have filled)
  3. clarity — readability, naming, function length, nesting (focus on what changed; same-scope pre-existing issues surface as [Pre-existing])
  4. testing — coverage of the change and assertion strength (membership checks, weak truthiness, missing error-path tests)
  5. repo-hygiene — secrets, env var documentation drift, manifest/lockfile alignment, README/CLAUDE.md/AGENTS.md drift

All five run concurrently as a single Task dispatch. A sixth verifier pass then filters the merged candidates down to the evidence-backed findings before they reach REVIEW.md at the repo root. Full per-lane prompts in Phase 2; verifier prompt in Phase 2.5.

Related skills
Installs
10
GitHub Stars
2
First Seen
Apr 23, 2026