code-review-orchestration

6-agent parallel code review orchestration covering architecture, security, performance, testing, quality, and documentation dimensions with weighted scoring.

509 stars

Best use case

code-review-orchestration is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

6-agent parallel code review orchestration covering architecture, security, performance, testing, quality, and documentation dimensions with weighted scoring.

Teams using code-review-orchestration should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/code-review-orchestration/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/methodologies/claudekit/skills/code-review-orchestration/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/code-review-orchestration/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How code-review-orchestration Compares

Feature / Agentcode-review-orchestrationStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

6-agent parallel code review orchestration covering architecture, security, performance, testing, quality, and documentation dimensions with weighted scoring.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# Code Review Orchestration

## Overview

Orchestrates 6 specialized review agents running in parallel across independent dimensions. Each agent scores independently, and results are aggregated into a weighted final score with a clear recommendation.

## Six Dimensions

### Architecture (weight: 20%)
Module boundaries, dependency direction, design pattern adherence, architectural drift.

### Security (weight: 25%)
Injection vulnerabilities, auth, secrets, crypto, dependencies, headers.

### Performance (weight: 15%)
Algorithmic complexity, resource leaks, database patterns, caching, async.

### Testing (weight: 15%)
Coverage, quality, edge cases, isolation, flakiness, integration, error paths.

### Quality (weight: 15%)
Naming, readability, error handling, type safety, DRY, comments.

### Documentation (weight: 10%)
JSDoc, README updates, changelog, inline comments, type documentation.

## Scoring and Recommendation

- **APPROVE**: overall >= 80 AND zero critical issues
- **REQUEST_CHANGES**: overall >= 60 OR has critical issues
- **REJECT**: overall < 60

## When to Use

- `/code-review` slash command
- Post-implementation review in spec execution
- Pre-merge quality gate

## Agents Used

- `code-review-coordinator`, `security-analyst`, `performance-analyst`
- `testing-specialist`, `architecture-reviewer`

## Processes Used By

- `claudekit-code-review` (primary consumer)
- `claudekit-orchestrator` (via command dispatch)

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