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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.

Use this Skill: https://skilld.dev/gh/getsentry/skills/code-review

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SKILL.md

≈57 tokens always: the name and description. ≈628 when used: this file.

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

Source: SKILL.md on GitHub

1 warning17d5 checks · Risk SAFE
  • Gen Agent Trust Hub17d

    The skill provides a set of guidelines and best practices for conducting code reviews, specifically tailored for the Sentry engineering environment.

  • Socket17d

    No alerts

  • Snyk17d

    Risk: MEDIUM · 1 issue

  • Runlayer7mo

    1/1 file flagged

  • ZeroLeaks5mo

    Score: 93/100 · 2 sections analyzed

Signed by skilld at 24361e7. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub yesterday.

Activeupdated 6 months ago

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Performs code reviews aligned with Sentry engineering practices, covering runtime errors, performance, security, backwards compatibility, test coverage, and design assessment. Use when reviewing pull requests or examining code changes for issues like N+1 queries, missing useEffect dependencies, SQL injection risks, and architectural misalignment.

Generated from the current SKILL.md.

Does this skill cover security review?
Yes. The skill includes checks for injection, XSS, access control gaps, and secrets exposure, plus a parameterized query example for SQL injection prevention.
What languages and frameworks does this cover?
Primary focus is Python/Django and TypeScript/React, with examples for both. The checklist is general enough to apply to other stacks, but specific patterns target these two.
Does this skill provide test coverage guidance?
Yes. It requires functional, integration, and end-to-end test coverage for PRs, and emphasizes verifying that tests cover actual requirements and edge cases.
When should I escalate a review to a senior engineer?
Flag database schema changes, API contract changes, new framework adoption, performance-critical code paths, and security-sensitive functionality for senior review.
Does this skill check for performance issues?
Yes. It identifies O(n²) operations, N+1 queries, unnecessary allocations, and complex Django ORM queries with unexpected performance.

Generated from the current SKILL.md. These answers refresh after source changes.