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code-review
by davila7
CLI tool for configuring and monitoring Claude Code
⭐ 17,985🍴 1,638📅 Jan 23, 2026
Use Cases
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Work Efficiency
Streamline daily tasks and improve productivity.
📋
Project Management
Assist with task management and project tracking.
👥
Team Collaboration
Improve team communication and collaboration.
FAQ
SKILL.md
name: code-review description: Perform code reviews following Sentry engineering practices. Use when reviewing pull requests, examining code changes, or providing feedback on code quality. Covers security, performance, testing, and design review.
Sentry Code Review
Follow these guidelines when reviewing code for Sentry projects.
Review Checklist
Identifying Problems
Look for these issues in code changes:
- Runtime errors: Potential exceptions, null pointer issues, out-of-bounds access
- Performance: Unbounded O(n²) operations, N+1 queries, unnecessary allocations
- Side effects: Unintended behavioral changes affecting other components
- Backwards compatibility: Breaking API changes without migration path
- ORM queries: Complex Django ORM with unexpected query performance
- Security vulnerabilities: Injection, XSS, access control gaps, secrets exposure
Design Assessment
- Do component interactions make logical sense?
- Does the change align with existing project architecture?
- Are there conflicts with current requirements or goals?
Test Coverage
Every PR should have appropriate test coverage:
- Functional tests for business logic
- Integration tests for component interactions
- End-to-end tests for critical user paths
Verify tests cover actual requirements and edge cases. Avoid excessive branching or looping in test code.
Long-Term Impact
Flag for senior engineer review when changes involve:
- Database schema modifications
- API contract changes
- New framework or library adoption
- Performance-critical code paths
- Security-sensitive functionality
Feedback Guidelines
Tone
- Be polite and empathetic
- Provide actionable suggestions, not vague criticism
- Phrase as questions when uncertain: "Have you considered...?"
Approval
- Approve when only minor issues remain
- Don't block PRs for stylistic preferences
- Remember: the goal is risk reduction, not perfect code
Common Patterns to Flag
Python/Django
# Bad: N+1 query
for user in users:
print(user.profile.name) # Separate query per user
# Good: Prefetch related
users = User.objects.prefetch_related('profile')
TypeScript/React
// Bad: Missing dependency in useEffect
useEffect(() => {
fetchData(userId);
}, []); // userId not in deps
// Good: Include all dependencies
useEffect(() => {
fetchData(userId);
}, [userId]);
Security
# Bad: SQL injection risk
cursor.execute(f"SELECT * FROM users WHERE id = {user_id}")
# Good: Parameterized query
cursor.execute("SELECT * FROM users WHERE id = %s", [user_id])
References
Score
Total Score
80/100
Based on repository quality metrics
✓SKILL.md
SKILL.mdファイルが含まれている
+20
✓LICENSE
ライセンスが設定されている
+10
○説明文
100文字以上の説明がある
0/10
✓人気
GitHub Stars 1000以上
+15
✓最近の活動
1ヶ月以内に更新
+10
✓フォーク
10回以上フォークされている
+5
○Issue管理
オープンIssueが50未満
0/5
✓言語
プログラミング言語が設定されている
+5
✓タグ
1つ以上のタグが設定されている
+5
Reviews
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Reviews coming soon
