Productivity

code-review

getsentry/skills · updated Apr 8, 2026

$npx skills add https://github.com/getsentry/skills --skill code-review
summary

Code review framework following Sentry engineering practices for pull requests and code quality assessment.

  • Covers six key problem areas: runtime errors, performance bottlenecks, side effects, backwards compatibility, ORM query issues, and security vulnerabilities
  • Includes design assessment guidance for component interactions, architectural alignment, and requirement conflicts
  • Requires appropriate test coverage across functional, integration, and end-to-end tests with verification of
skill.md

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

general reviews

Ratings

4.663 reviews
  • Emma Menon· Dec 28, 2024

    Keeps context tight: code-review is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Sakura Gonzalez· Dec 28, 2024

    code-review has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Chen Shah· Dec 20, 2024

    code-review is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Isabella Zhang· Dec 20, 2024

    code-review reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Dhruvi Jain· Dec 16, 2024

    Useful defaults in code-review — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Chen Kapoor· Nov 27, 2024

    code-review reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Sakura Perez· Nov 27, 2024

    Registry listing for code-review matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Isabella Rahman· Nov 19, 2024

    I recommend code-review for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Mei Ghosh· Nov 19, 2024

    code-review fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Rahul Santra· Nov 15, 2024

    Registry listing for code-review matched our evaluation — installs cleanly and behaves as described in the markdown.

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