review-pr

これはレビュー時に保存された抜粋です。完全で最新の内容は外部ソースを確認してください。

---
name: review-pr
license: MIT
compatibility: "Claude Code 2.1.220+. Requires memory MCP server, gh CLI."
description: "PR review using parallel specialized agents for code quality, security, testing, architecture, and performance analysis. Synthesizes findings into a review report with conventional comments (praise/issue/suggestion/nitpick) and approve or request-changes verdict. Use when reviewing pull requests, conducting security audits, or validating changes before merge."
argument-hint: "[pr-number-or-branch]"
context: fork
# user-typed commands stay interactive; CC >= 2.1.218 backgrounds forks by default (#3093)
background: false
version: 1.9.0
author: OrchestKit
tags: [code-review, pull-request, quality, security, testing]
user-invocable: true
allowed-tools: [SendMessage, AskUserQuestion, Bash, Read, Write, Edit, Grep, Glob, Agent, TaskCreate, TaskUpdate, TaskStop, mcp__memory__search_nodes, ToolSearch, Monitor]
skills: [code-review-playbook, testing-unit, testing-e2e, testing-integration, memory, chain-patterns]
complexity: medium
persuasion-type: discipline
hooks:
  PreToolUse:
    - matcher: "Read"
      command: "${CLAUDE_PLUGIN_ROOT}/hooks/bin/run-hook.mjs skill/pr-context-loader"
      once: true
    - matcher: "Agent"
      command: "${CLAUDE_PLUGIN_ROOT}/hooks/bin/run-hook.mjs skill/review-dimensions-loader"
      once: true
metadata:
  category: workflow-automation
  mcp-server: memory
triggers:
  keywords: ["review pr", "code review", reveiw, "review pull request", "review the changes", "thorough review", "review of", "look over", "check this pr", "before we merge"]
  examples:
    - "review PR 123"
    - "do a code review on this pull request"
    - "check this PR for issues before we merge"
  anti-triggers: [create pr, open pr, commit, assess, rate, implement]
---

# Review PR

Deep code review using 6-7 parallel specialized agents.

## Quick Start

```bash
/ork:review-pr 123
/ork:review-pr feature-branch
```

> **Opus 5**: Parallel agents use native adaptive thinking for deeper analysis. Complexity-aware routing matches agent model to review difficulty.

---

## Argument Resolution

The PR number or branch is passed as the skill argument. Resolve it immediately:

```python
PR_NUMBER = "$ARGUMENTS[0]"  # e.g., "123" or "feature-branch"

# If no argument provided, check environment
if not PR_NUMBER:
    PR_NUMBER = os.environ.get("ORCHESTKIT_PR_URL", "").split("/")[-1]

# If still empty, detect from current branch
if not PR_NUMBER:
    PR_NUMBER = "$(gh pr view --json number -q .number 2>/dev/null)"
```

Use `PR_NUMBER` consistently in all subsequent commands and agent prompts.

---

## STEP 0: Verify User Intent with AskUserQuestion

**BEFORE creating tasks**, clarify review focus:

```python
AskUserQuestion(
  questions=[{
    "question": "What type of review do you need?",
    "header": "Focus",
    "options": [
      {"label": "Full review (Recommended)", "description": "Security + code quality + tests + architecture"},
      {"label": "Security focus", "description": "Prioritize security vulnerabilities"},
      {"label": "Performance focus", "description": "Focus on performance implications"},
      {"label": "Quick review", "description": "High-level review, skip deep analysis"}
    ],
    "multiSelect": false
  }]
)
```

**Based on answer, adjust workflow:**
- **Full review**: All 6-7 parallel agents
- **Security focus**: Prioritize security-auditor, reduce other agents
- **Performance focus**: Add frontend-performance-engineer agent
- **Quick review**: Single code-quality-reviewer agent only

### "Ultra" mode → defer to `claude ultrareview` (CC 2.1.120+, #1542)

If the user asks for an "ultra" / "deep" / "thorough" review and the host is on CC ≥ 2.1.120, **defer to the native subcommand** instead of re-implementing the multi-agent loop in skill instructions:

```bash
claude ultrareview "$PR_REF" --json
```

The CLI runs the same multi-agent review (`code-quality`, `security-auditor`, `test-coverag