Skillzwave Logo
Skillzwave

code-reviewer

579 stars 112 forks
0
F

Comprehensive code review skill for TypeScript, JavaScript, Python, Swift, Kotlin, Go. Includes automated code analysis, best practice checking, security scanning, and review checklist generation. Use when reviewing pull requests, providing code feedback, identifying issues, or ensuring code quality standards.

CommandsAgentsMarketplace
#claude-ai#claudecode-subagents#claude-ai-skills#practices#automated#claude-skills#review#Code Reviewer

Third-Party Agent Skill: Review the code before installing. Agent skills execute in your AI assistant's environment and can access your files. Learn more about security

Installation for Agentic Skill

View all platforms →
skilz install alirezarezvani/claude-skills/code-reviewer
skilz install alirezarezvani/claude-skills/code-reviewer --agent opencode
skilz install alirezarezvani/claude-skills/code-reviewer --agent codex
skilz install alirezarezvani/claude-skills/code-reviewer --agent gemini

First time? Install Skilz: pip install skilz

Works with 22+ AI coding assistants

Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...

View All Agents
Download Agent Skill ZIP

Extract and copy to ~/.claude/skills/ then restart Claude Desktop

1. Clone the repository:
git clone https://github.com/alirezarezvani/claude-skills
2. Copy the agent skill directory:
cp -r claude-skills/engineering-team/code-reviewer ~/.claude/skills/
View on GitHub

Need detailed installation help? Check our platform-specific guides:

Claude Desktop Guide Claude Code Guide Troubleshooting

Related Agentic Skills

automating-mail

by SpillwaveSolutions

Automates Apple Mail via JXA with AppleScript dictionary discovery. Use when asked to "automate email", "send mail via script", "JXA Mail automatio...

100
Marketplace

automating-reminders

by SpillwaveSolutions

Automates Apple Reminders using JavaScript for Automation (JXA). Use when asked to "create reminders programmatically", "automate reminder lists", ...

100
Marketplace

mastering-postgresql

by SpillwaveSolutions

PostgreSQL development for Python with full-text search (tsvector, tsquery, BM25 via pg_search), vector similarity (pgvector with HNSW/IVFFlat), JS...

100
Marketplace

automating-contacts

by SpillwaveSolutions

Automates macOS Contacts via JXA with AppleScript dictionary discovery. Use when asked to "automate contacts", "JXA contacts automation", "macOS ad...

99
Marketplace

Agentic Skill Details

Owner
alirezarezvani (GitHub)
Repository
claude-skills
Stars
579
Forks
112
Type
Other
Meta-Domain
Primary Domain
Market Score
0
Agentic Skill Grades →

Agent Skill Grade

F
Score: 40/100 Click to see breakdown

Score Breakdown

Spec Compliance
12/15
PDA Architecture
10/30
Ease of Use
11/25
Writing Style
3/10
Utility
4/20

Areas to Improve

  • Empty scripts provide no value
  • Generic reference content
  • Marketing fluff wastes tokens

Recommendations

  • Focus on improving Pda (currently 10/30)
  • Focus on improving Ease Of Use (currently 11/25)
  • Focus on improving Writing Style (currently 3/10)

Graded: 2026-01-24

Developer Feedback

I was digging through the grading results and noticed your code-reviewer skill came back at 40/100—there's clearly solid intent here, but the execution is falling short of what this tool could be doing. What I'm curious about is whether the issue is in how the reviews are structured or something deeper in the analysis logic?

Links:

The TL;DR

You're at 40/100, which lands you in F territory. This is based on Anthropic's Progressive Disclosure Architecture standards for agentic skills. Your strongest area is Spec Compliance (12/15)—the metadata and frontmatter are clean. But Utility (4/20) and Writing Style (3/10) are really dragging things down. The skill promises a "complete toolkit" but the actual implementation is mostly empty templates.

What's Working Well

  • Valid YAML frontmatter with all required fields present and correct naming conventions
  • Good trigger coverage in the metadata—you're targeting reviewers who want to check PRs, get code feedback, and scan for quality issues
  • Proper reference file structure—you've got the framework set up for common_antipatterns.md, coding_standards.md, and code_review_checklist.md, which shows you thought about layering

The Big One: Empty Scripts Kill Utility

Your three scripts (pr_analyzer.py, code_quality_scanner.py, review_formatter.py) are just boilerplate with placeholder comments like // Implementation details and self.results['status'] = 'success'. This is the anchor around your neck.

Why it matters: Reviewers need actual logic—linting checks, complexity analysis, security scanning patterns. Right now, you're promising a toolkit but delivering a shell.

The fix: Either implement real review logic (...

AI-Detected Topics

Extracted using NLP analysis

claude-ai claudecode-subagents claude-ai-skills practices automated claude-skills review Code Reviewer code-reviewer description claude-code

Report Security Issue

Found a security vulnerability in this agent skill?