Fstrent code reviewer
Skill wrm3/ai_project_template/plugins/fstrent-spec-tasks/skills/fstrent-code-reviewer
Comprehensive code review following company standards with focus on security, performance, maintainability, and best practicesFrom its SKILL.md
npx -y skills add wrm3/ai_project_template --skill fstrent-code-reviewerAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
3.8 KB, 763 tokens by cl100k_base, as published. Nobody here has run it
fstrent Code Reviewer
Perform thorough code reviews following company-specific templates, security guidelines, and best practices.
Overview
This skill provides comprehensive code review capabilities with structured checklists, security scanning, performance analysis, and maintainability assessments. It ensures consistent code quality across your projects by following standardized review procedures.
When to Use
This skill activates automatically when you:
- Ask for a code review
- Request security scanning
- Need quality assessment
- Review pull requests
- Check code before committing
Capabilities
1. Security Review
- SQL injection vulnerability detection
- XSS attack vector identification
- Authentication/authorization checks
- Sensitive data exposure prevention
- Input validation review
- Secret/credential detection
2. Code Quality Assessment
- Code style compliance
- Naming conventions
- Documentation completeness
- Error handling patterns
- Code complexity analysis
- DRY principle adherence
3. Performance Analysis
- Algorithm efficiency
- Database query optimization
- Memory usage patterns
- Network request efficiency
- Caching opportunities
- Resource cleanup
4. Maintainability Review
- Code organization
- Function/class size (target: <100 lines, warn: >200 lines)
- Cyclomatic complexity
- Test coverage
- Documentation quality
- Technical debt identification
5. Best Practices
- Language-specific idioms
- Framework conventions
- Design patterns
- SOLID principles
- Clean code principles
- Team coding standards
Review Types
Quick Review
For small changes (<100 lines):
- Security scan
- Style check
- Basic quality assessment
- ~2-5 minutes
Standard Review
For typical changes (100-500 lines):
- Full security scan
- Code quality analysis
- Performance check
- Documentation review
- ~10-20 minutes
Comprehensive Review
For large changes (>500 lines) or critical code:
- In-depth security analysis
- Detailed performance profiling
- Architecture review
- Test coverage analysis
- Technical debt assessment
- ~30-60 minutes
Output Format
Reviews generate:
- Summary: Overall assessment (Approve/Request Changes/Comment)
- Security Issues: Critical/High/Medium/Low with recommendations
- Quality Issues: Categorized by severity
- Performance Concerns: Identified bottlenecks
- Best Practices: Suggestions for improvement
- Action Items: Specific tasks to address findings
Integration
Works with:
- GitHub Pull Requests
- GitLab Merge Requests
- Local file reviews
- Diff-based reviews
- Multi-file reviews
Examples
Quick Review:
"Review this authentication function for security issues"
→ Focused security scan with recommendations
Full PR Review:
"Review PR #123 for code quality and security"
→ Comprehensive review with checklist and ratings
Pre-Commit Check:
"Check this code before I commit"
→ Quick scan for obvious issues
Company Standards
This skill enforces your specific:
- Coding standards
- Security requirements
- Testing requirements
- Documentation standards
- Performance SLAs
For detailed review procedures, see rules.md.
For examples and templates, see examples/ folder.
Related Skills
- fstrent-task-management: Create tasks for review findings
- fstrent-qa: Track bugs found during review
- fstrent-planning: Plan refactoring based on review
Version: 1.0.0 Last Updated: 2025-10-19 Part of: fstrent-spec-tasks system
What ships with it: 3 files
30.7 KB alongside SKILL.md
examples/
- sample_review.md7.8 KB
reference/
- security_checklist.md9.1 KB
- rules.md13.8 KB
Gives 0 of the 12 instructions most code review skills give in 763 tokens
Counted across 610 of the 674 authors here whose files we hold, read 2026-08-07
- Push back with technical reasoning if wrongin 60 of 610, across 26 files
- Ask for clarification on unclear itemsin 50 of 610, across 16 files
- Fix critical issues immediatelyin 45 of 610, across 29 files
- Implement one item at a timein 45 of 610, across 11 files
- Group findings by severityin 44 of 610, across 43 files
- Verify feedback against the codebasein 42 of 610, across 9 files
- Dispatch a code reviewer subagentin 39 of 610, across 23 files
- Fix important issues before proceedingin 37 of 610, across 22 files
- Test each fix individuallyin 35 of 610, across 8 files
- Reply in GitHub comment threadsin 33 of 610, across 5 files
- Check for security vulnerabilitiesin 31 of 610, across 27 files
- Factualize corrections without over-explainingin 30 of 610, across 2 files
Said here and by no other author read
- identify xss attack vectors
- review input validation
- detect secrets and credentials
- check documentation completeness
- review error handling patterns
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.