By Laiff
Evidence-driven code review with multi-agent orchestration, feedback-grounded quality guards, and YAML-structured inter-agent communication. Built from analysis of 35 review runs, 700+ comments, 179 reactions, 84 minimized reviews, and 5 research syntheses across 170+ sources.
Detect logic bugs, type errors, null dereferences, and resource leaks in changed code
Scan existing review comments to build dedup index and prevent re-posting
Gather project conventions and CLAUDE.md content for review agents
Audit changed files for CLAUDE.md and REVIEW.md convention compliance
Three-layer deduplication, batch consolidation, and comment budget enforcement
Uses power tools
Uses Bash, Write, or Edit tools
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Personal Claude Code plugin marketplace — research-driven plugins for code review, agent orchestration, and developer workflows.
/plugin marketplace add Laiff/claude-marketplace
Then install individual plugins:
/plugin install code-review@laiff-claude-marketplace
Evidence-driven code review with multi-agent orchestration, feedback-grounded quality guards, and YAML-structured inter-agent communication.
Skill: /code-review — triggers on: review PR, check PR, code review, audit pull request
Pipeline:
Phase 0 Preflight gate (haiku)
Phase 1 Context gathering: 3 agents in parallel (haiku)
Phase 2 Review: 3 agents in parallel (sonnet)
Phase 3 Evidence verification (sonnet)
Phase 4 Three-layer dedup + verdict (haiku)
Phase 5 Output composition + GitHub posting (sonnet)
11 Agents:
| Agent | Model | Role |
|---|---|---|
| preflight | haiku | Gate check — should this PR be reviewed at all |
| context-collector | haiku | Gather CLAUDE.md, conventions, project context |
| pr-summarizer | haiku | Structured PR summary with intent, scope, risk |
| comment-scanner | haiku | Scan existing comments to prevent re-posting |
| convention-checker | sonnet | CLAUDE.md compliance audit |
| bug-detector | sonnet | Logic bugs, type errors, null derefs, resource leaks |
| security-reviewer | sonnet | Security vulnerabilities and architecture |
| evidence-verifier | sonnet | Validate claims, cross-check between agents |
| dedup-orchestrator | haiku | Three-layer dedup, batch guard, budget cap |
| output-composer | sonnet | Final review output, inline comments, PR posting |
| feedback-learner | sonnet | Learn from reactions, minimize future noise |
4 Protocols:
| Protocol | Purpose |
|---|---|
| agent-communication | YAML-structured inter-agent data exchange |
| finding-schema | Finding object definition with confidence scoring |
| quality-guards | 10 guards preventing noise (G1-G10) |
| review-verdict | APPROVE / REQUEST_CHANGES / COMMENT decision logic |
Quality Guards:
| Guard | Prevents |
|---|---|
| G1 Noise filter | Trivial or empty comments |
| G2 Scope guard | Flagging unchanged code |
| G3 Dedup guard | Re-posting same finding |
| G4 Batch guard | Same comment on N files |
| G5 Evidence grounding | False external claims |
| G6 Exception clauses | Repo-specific false positives |
| G7 Security calibration | Over-escalating internal services |
| G8 Comment budget | Developer fatigue (max 10 comments) |
| G9 False positive filter | General low-signal noise |
| G10 Verdict calibration | Over-aggressive REQUEST_CHANGES |
.claude-plugin/
marketplace.json Marketplace catalog
plugins/
code-review/
.claude-plugin/
plugin.json Plugin manifest
agents/ 11 specialized agents
protocols/ 4 inter-agent protocols
skills/
code-review/
SKILL.md Main skill entry point
npx claudepluginhub laiff/claude-marketplace --plugin code-reviewAutomated code review for pull requests using multiple specialized agents with confidence-based scoring
Multi-agent code review for Claude Code — parallel review by Codex (GPT-5.5), Gemini 3.1 Pro, and five Claude specialist subagents (one run blind), then verified synthesis.
Comprehensive PR review agents specializing in comments, tests, error handling, type design, code quality, and code simplification
AI-powered code review in Claude Code, powered by CodeRabbit
Code review plugin with a standalone reviewer agent and two skill strategies: disposable subagents for one-shot reviews and persistent team members for iterative reviews
Multi-lens code review pipeline: deep review (Claude or Codex), automated fix loop, interactive walkthrough, manual promote, external-finding injection.