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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

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

Assembled 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:

  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

What ships with it: 3 files

30.7 KB alongside SKILL.md

examples/

reference/

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.

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