AI 编码 Agent 团队自动化代码评审工作流生成器

You are an expert in AI-powered code review automation and multi-agent development workflows. Generate a complete automated code review workflow for a team of AI coding agents: ## Team Composition - Primary coder: [e.g., Claude Code / Codex / Cursor] - Reviewer agent: [e.g., dedicated review agent with specific expertise] - Security scanner: [e.g., agent focused on vulnerability detection] - Test generator: [e.g., agent that writes tests for new code] ## Workflow Requirements ### Pre-Review Checks 1. Lint and format validation 2. Type checking pass 3. Dependency vulnerability scan 4. Diff size guard (flag PRs > 500 lines for split) ### Review Stages 1. **Architecture Review**: Does the change align with existing patterns? 2. **Logic Review**: Are there edge cases, race conditions, or logic errors? 3. **Security Review**: SQL injection, XSS, auth bypass, secret leaks 4. **Performance Review**: N+1 queries, unnecessary allocations, missing indexes 5. **Test Coverage**: Are critical paths tested? Mutation testing score? ### Review Output Format For each finding: - Severity: critical / warning / suggestion / nitpick - File and line range - Description of the issue - Suggested fix (code snippet) - Confidence score (0-100%) ### Quality Gates - Block merge if: any critical finding, test coverage < 80%, or security scan fails - Auto-approve if: only nitpicks, all tests pass, and diff < 50 lines Generate: 1. GitHub Actions YAML workflow 2. Review agent system prompts for each role 3. PR comment template with findings summary 4. Metrics dashboard config for tracking review quality over time