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Fstrent code reviewer

Skill wrm3/ai_project_template/.claude/skills/fstrent-code-reviewer

template for projects that you plan on having one or more different AI Assistants working in, and attempting to keep co-ordinated

Install
npx -y skills add wrm3/ai_project_template --skill fstrent-code-reviewer

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Comprehensive code review following company standards with focus on security, performance, maintainability, and best practices

SKILL.md

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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:

  1. Summary: Overall assessment (Approve/Request Changes/Comment)
  2. Security Issues: Critical/High/Medium/Low with recommendations
  3. Quality Issues: Categorized by severity
  4. Performance Concerns: Identified bottlenecks
  5. Best Practices: Suggestions for improvement
  6. 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

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