S Akinori My Claude Code Orchestra Team Review

Team Review

Agent Teams による並列レビュー。実装完了後に複数の視点から同時にレビューする。

Prerequisites

• 実装が完了していること（/team-implement 後、または手動実装後）
• 全テストが通過していること

Workflow

Step 1: Gather Diff
  実装範囲の変更差分を収集
    ↓
Step 2: Spawn Review Team
  専門レビュアーを並列起動
    ↓
Step 3: Synthesize Findings
  レビュー結果を統合、優先度付け
    ↓
Step 4: Report to User
  発見事項と推奨アクションを提示

Step 1: Gather Diff

レビュー対象の変更範囲を特定する。

# All changes from main branch
git diff main...HEAD

# Changed files list
git diff main...HEAD --name-only

# Commit history
git log main..HEAD --oneline

Step 2: Spawn Review Team

専門的な視点を持つレビュアーを並列起動する。

Create an agent team to review implementation of: {feature}

The following files were changed:
{changed files list}

Spawn reviewers:

1. **Security Reviewer**
   Prompt: "You are a Security Reviewer for: {feature}.

   Review all changed files for security vulnerabilities:
   - Hardcoded secrets or credentials
   - SQL injection, XSS, command injection
   - Input validation gaps
   - Authentication/authorization issues
   - Sensitive data exposure in logs/errors
   - Dependency vulnerabilities

   Changed files: {list}

   Reference: .claude/rules/security.md

   For each finding:
   - Severity: Critical / High / Medium / Low
   - File and line number
   - Description of the issue
   - Recommended fix

   Save report to .claude/docs/research/review-security-{feature}.md"

2. **Quality Reviewer**
   Prompt: "You are a Quality Reviewer for: {feature}.

   Review all changed files for code quality:
   - Adherence to coding principles (.claude/rules/coding-principles.md)
   - Single responsibility violations
   - Deep nesting (should use early return)
   - Missing type hints
   - Magic numbers
   - Naming clarity
   - Function length (target < 20 lines)
   - Library constraint violations (.claude/docs/libraries/)

   Use Codex CLI for deep analysis of complex logic:
   codex exec --model gpt-5.3-codex --sandbox read-only --full-auto "{question}" 2>/dev/null

   Changed files: {list}

   For each finding:
   - Severity: High / Medium / Low
   - File and line number
   - Current code
   - Suggested improvement

   Save report to .claude/docs/research/review-quality-{feature}.md"

3. **Test Reviewer**
   Prompt: "You are a Test Reviewer for: {feature}.

   Review test coverage and quality:
   - Run: uv run pytest --cov=src --cov-report=term-missing
   - Check: Are all happy paths tested?
   - Check: Are error cases covered?
   - Check: Are boundary values tested?
   - Check: Are edge cases handled?
   - Check: Are external deps properly mocked?
   - Check: Do tests follow AAA pattern?
   - Check: Are tests independent (no order dependency)?

   Reference: .claude/rules/testing.md

   For each gap:
   - File/function missing coverage
   - What test cases are needed
   - Priority: High / Medium / Low

   Save report to .claude/docs/research/review-tests-{feature}.md"

Wait for all reviewers to complete.

Optional: Competing Hypotheses (for debugging)

For bug investigation, add adversarial reviewers:

Spawn 3-5 teammates with different hypotheses about the bug.
Have them actively try to disprove each other's theories.

Step 3: Synthesize Findings

全レビュアーの結果を統合し、優先度付けする。

Read review reports:

• .claude/docs/research/review-security-{feature}.md
• .claude/docs/research/review-quality-{feature}.md
• .claude/docs/research/review-tests-{feature}.md

Prioritization

Step 4: Report to User

統合レビュー結果をユーザーに提示する（日本語）。

## レビュー結果: {feature}

### サマリー
- セキュリティ: {N}件 (Critical: {n}, High: {n}, Medium: {n})
- コード品質: {N}件 (High: {n}, Medium: {n}, Low: {n})
- テストカバレッジ: {N}% (目標80%に対して {above/below})

### Critical / High 発見事項

#### [{Severity}] {Issue Title}
- **ファイル**: `{file}:{line}`
- **問題**: {description}
- **修正案**: {recommended fix}

...

### 推奨アクション
1. {Action 1 — Critical fix}
2. {Action 2 — High priority fix}
3. {Action 3 — Test gap to fill}

### Medium / Low 発見事項
{Brief list — details in review reports}

---
修正を行いますか？

Cleanup

Clean up the team

Tips

• レビュアーの専門分化: 各レビュアーが異なる視点に集中することで漏れを防ぐ
• Codex 活用: Quality Reviewer が複雑なロジックを Codex に分析させる
• レポート永続化: .claude/docs/research/ にレビュー結果を保存し、修正時の参照に
• 競合仮説モード: バグ調査時は adversarial review パターンが有効
• コスト注意: 3レビュアー = 3x トークン消費。小規模変更にはサブエージェント経由のレビューで十分

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