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.
View on GitHubgetsentry/skills
sentry-skills
January 20, 2026
Select agents to install to:
npx add-skill https://github.com/getsentry/skills/blob/main/plugins/sentry-skills/skills/code-review/SKILL.md -a claude-code --skill code-reviewInstallation paths:
.claude/skills/code-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
```python
# 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
```typescript
// Bad: Mis