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Itinerant18
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code-reviewer

Analyze codebases for security vulnerabilities and generate review reports.

1|Updated Jun 30, 2026
Search Tags:#automation#quality assurance#static analysis#code review#best practices#security scanning
One-click install
npx skills add https://github.com/Itinerant18/Urban-assist --skill code-reviewer-itinerant18
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-reviewer
Source: https://github.com/Itinerant18/Urban-assist/tree/main/.cursor/skills/code-reviewer
Command: npx skills add https://github.com/Itinerant18/Urban-assist --skill code-reviewer-itinerant18

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill addresses the inconsistency and time-sink associated with manual code reviews by providing automated, standardized analysis across multiple programming languages.

Core Features & Use Cases

  • Automated Code Analysis: Scans codebases for best practices, security vulnerabilities, and performance bottlenecks.
  • Review Report Generation: Produces structured, actionable feedback reports for pull requests.
  • Use Case: When a developer submits a new feature, this skill can be triggered to automatically verify adherence to project coding standards and identify potential anti-patterns before a human reviewer even looks at the code.

Quick Start

Use the code-reviewer skill to analyze the current directory and generate a comprehensive quality report.

Frequently Asked Questions about code-reviewer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate code review and security scanning across multiple programming languages?▼

Automated code review and security scanning across multiple languages is performed by analyzing codebases for best practices, security vulnerabilities, and performance bottlenecks. It supports TypeScript, JavaScript, Python, Go, Swift, and Kotlin to ensure standardized quality checks.

What is static analysis for pull request workflows and how does it generate feedback?▼

Static analysis for pull requests works by scanning codebases against project coding standards to identify anti-patterns. It then generates structured, actionable review reports that provide standardized feedback before a human reviewer evaluates the code.

Does automated code quality analysis require Python 3 to run static analysis scripts?▼

Automated code quality analysis does require Python 3 and standard library support to execute its static analysis and report generation scripts. This environment setup is necessary to perform multi-language codebase scanning and produce review reports.

Can I scan a Go and Swift codebase for security vulnerabilities and best practices in one pass?▼

Scanning a Go and Swift codebase for security vulnerabilities and best practices in a single pass is fully supported. The automated analysis covers multiple programming languages simultaneously, facilitating comprehensive quality assurance across your entire project.

What's the best way to generate standardized quality reports for a multi-language codebase?▼

Generating standardized quality reports for a multi-language codebase is best handled through automated static analysis scripts. These scripts scan for security vulnerabilities and performance bottlenecks, producing structured feedback reports to verify adherence to coding standards.

When should I not use automated static analysis for code reviews?▼

Automated static analysis for code reviews has limitations when dealing with unsupported languages outside TypeScript, JavaScript, Python, Go, Swift, and Kotlin. It should not replace human review for complex architectural decisions, focusing instead on identifying anti-patterns and standard adherence.

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