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Code Review

  • 22 installs
  • 2.2k repo stars
  • Updated August 4, 2026
  • getsentry/sentry-python

This is a copy of code-review by getsentry - installs and ranking accrue to the original listing.

Helps with ai & agent building tasks.

About

code-review is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted development.

  • code-review
  • AI & Agent Building
  • AI-coding skill

Code Review by the numbers

  • 22 all-time installs (skills.sh)
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/getsentry/sentry-python --skill code-review

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Listed on Skillselion
Installs22
repo stars2.2k
Last updatedAugust 4, 2026
Repositorygetsentry/sentry-python

What it does

Helps with ai & agent building tasks.

Files

SKILL.mdMarkdownGitHub ↗

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

Related skills

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