Code Review
SentryOfficialPublished by Sentry
- Skill
- Review and audit
- Software development
- Apache-2.0
- No issues found
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
This skill provides a comprehensive checklist and set of guidelines for performing code reviews. It focuses on identifying runtime errors, performance bottlenecks, security vulnerabilities, and design inconsistencies. The approach emphasizes actionable, empathetic feedback and provides specific patterns for Python, Django, and TypeScript/React environments to ensure code quality and maintainability.
What it does
- Provides a checklist for identifying runtime errors, performance issues, and security vulnerabilities.
- Offers guidance on assessing architectural design and component interactions.
- Defines standards for verifying test coverage across functional, integration, and end-to-end tests.
- Establishes communication norms for providing polite, actionable, and constructive feedback.
- Identifies specific scenarios requiring escalation to senior engineering review.
- Includes common code patterns to flag for Python, Django, and TypeScript/React.
When to use it
- When reviewing pull requests to ensure code quality and project alignment.
- When examining code changes for potential security or performance risks.
- When providing feedback on architectural design or implementation details.
- When verifying that new code includes appropriate test coverage.
Advantages
- Promotes consistency in code quality across engineering teams.
- Reduces risk by focusing on critical areas like security and performance.
- Encourages a positive and collaborative team culture through empathetic feedback.
- Provides clear criteria for when to approve a pull request versus requesting changes.
Usage examples
- “Review this pull request for potential performance issues.”
- The agent analyzes the code for N+1 queries, inefficient loops, or unnecessary allocations, providing specific feedback based on the provided patterns.
- “Does this code change meet security standards?”
- The agent checks for common vulnerabilities like SQL injection or XSS and suggests parameterized queries or other secure coding practices.
Install
Download the skill as a ZIP:
https://autogineer.com/agent-skills/getsentry/code-review/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip code-review.zip -d .agents/skills
Documentation by Sentry
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
Files
- ATTRIBUTION.mdAdded by AutoGineer846 B
- LICENSELicence file added by AutoGineer10.5 KiB
- SKILL.md2.7 KiB
LICENSE
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Requirements and compatibility
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Needs: Needs Python
Security
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Attribution and licence
- Published by
- Sentry
- Publisher
- Sentry (Official)
- Source
- getsentry/skills · skills/code-review · commit e94f222
- Licence
- Apache License 2.0 (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
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