
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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| Installs | 104 |
|---|---|
| repo stars | ★ 3.5k |
| Last updated | May 6, 2026 |
| Repository | millionco/expect ↗ |
What it does
Helps with ai & agent building tasks during AI-assisted development.
Files
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
Related skills
AI & Agent Buildingagents