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Code Review

  • 104 installs
  • 3.5k repo stars
  • Updated May 6, 2026
  • millionco/expect

Helps with ai & agent building tasks during AI-assisted development.

About

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

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

Code Review by the numbers

  • 104 all-time installs (skills.sh)
  • +9 installs in the week ending Aug 4, 2026 (Skillselion tracking)
  • Ranked #4,243 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
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Listed on Skillselion
Installs104
repo stars3.5k
Last updatedMay 6, 2026
Repositorymillionco/expect

What it does

Helps with ai & agent building tasks during AI-assisted development.

Files

SKILL.mdMarkdownGitHub ↗

Code Review

Follow these guidelines when reviewing code.

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

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