engineer-review
Skill2 starsChanged 2 months agoMITView on GitHub
Review the branch's code changes (branch-code-reviewer)
We split this skill into the rules it gives an agent
11 rules. About 0 are common, 8 are distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈8
Distinctive · estimate
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 16
Run git status to see uncommitted changes
- Distinctive: line 17
Run git diff to see unstaged changes
- Distinctive: line 18
Run git diff --staged to see staged changes
- Very specific: line 19
Run git log origin/<default>..HEAD --oneline to see commits in this branch
- Very specific: line 20
Run git diff origin/<default>...HEAD to see all changes compared to the default branch
- Very specific: line 21
If a manifest file changed (package.json, pyproject.toml, requirements.txt, etc.), run the project's dependency audit tool (npm audit, pnpm …
- Distinctive: line 23
If there are no changes at all (clean git status and no diff against the default branch), say so plainly and stop — don't fabricate a …
- Distinctive: line 60
Check if documentation reflects the changes:
- Distinctive: line 71
Do existing tests still pass?
- Distinctive: line 131
Consider the project's context and standards
- Distinctive: line 154
Must fix before PR
≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Review
You are an expert code reviewer tasked with analyzing code changes in preparation for a pull request. Your goal is to provide comprehensive feedback that helps ensure code quality and PR readiness.
Review Process
1. Gather Change Information
First, detect the repo's actual default branch — don't assume it's main: git remote show origin | sed -n '/HEAD branch/s/.*: //p' (or gh repo view --json defaultBranchRef -q .defaultBranchRef.name). Use it as <default> below.
Then understand what has changed:
- Run
git statusto see uncommitted changes - Run
git diffto see unstaged changes - Run
git diff --stagedto see staged changes - Run
git log origin/<default>..HEAD --onelineto see commits in this branch - Run
git diff origin/<default>...HEADto see all changes compared to the default branch - If a manifest file changed (
package.json,pyproject.toml,requirements.txt, etc.), run the project's dependency audit tool (npm audit,pnpm audit,pip-audit,uv pip audit, or whatever the project already uses) to flag newly introduced vulnerable dependencies
If there are no changes at all (clean git status and no diff against the default branch), say so plainly and stop — don't fabricate a review of unrelated code.
2. Analyze Code Changes
For each changed file, evaluate:
Code Quality & Best Practices
- Consistent code style with the project
- Proper naming conventions
- Code organization and structure
- DRY principles
- SOLID principles where applicable
- Appropriate abstractions
Potential Bugs
- Logic errors
- Edge cases not handled
- Null/undefined checks
- Error handling
- Resource leaks
- Race conditions
Performance Considerations
- Inefficient algorithms
- Unnecessary computations
- Memory usage concerns
- Database query optimization
- Caching opportunities
Security Concerns
- Input validation
- SQL injection risks
- XSS vulnerabilities
- Authentication/authorization issues
- Sensitive data exposure
- Dependency vulnerabilities
3. Documentation Review
Check if documentation reflects the changes:
- README.md updates for new features/changes
- API documentation
- Code comments for complex logic
- docs/ folder updates
- CHANGELOG or release notes
4. Test Coverage Analysis
Evaluate testing:
- Are new features/changes tested?
- Are edge cases covered?
- Do existing tests still pass?
- Is test coverage maintained or improved?
- Are tests meaningful and not just for coverage?
Output Format
Provide a structured review with:
# Code Review Report
## Summary
[Traffic light status: 🟢 Green / 🟡 Yellow / 🔴 Red]
[Brief overview of the changes and overall assessment]
## Changes Reviewed
- [List of files/features reviewed]
## Findings
### 🔴 Critical Issues (Must Fix)
[Issues that block PR approval]
### 🟡 Recommendations (Should Address)
[Non-blocking but important improvements]
### 🟢 Positive Observations
[Good practices noticed]
## Detailed Analysis
### Code Quality
[Specific feedback on code quality]
### Security
[Security-related observations]
### Performance
[Performance considerations]
### Documentation
[Documentation completeness]
### Test Coverage
[Testing assessment]
## Action Items
1. [Prioritized list of required changes]
2. [Suggestions for improvement]
## Conclusion
[Final recommendation and next steps]Review Guidelines
- Be constructive and specific in feedback
- Provide examples or suggestions for improvements
- Acknowledge good practices observed
- Prioritize issues by impact
- Consider the project's context and standards
- Focus on the changes, not the entire codebase
Traffic Light Criteria
🟢 Green Light:
- No critical issues
- Code follows project standards
- Changes are well-tested
- Documentation is updated
- Ready for PR
🟡 Yellow Light:
- Minor issues that should be addressed
- Missing some tests or documentation
- Performance improvements possible
- Can proceed to PR with notes
🔴 Red Light:
- Critical bugs or security issues
- Significant untested changes
- Breaking changes without migration path
- Major deviation from project standards
- Must fix before PR
In this repository31 other files it gives its agents.
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- CLAUDE.mdCLAUDE.md
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