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code-reviewer

Analyze pull requests for complexity, risk, and code quality issues.

Updated Feb 27, 2026
Search Tags:#code quality#automation#static analysis#code review#pull request#security analysis
One-click install
npx skills add https://github.com/amanhsn/flyerbuild --skill code-reviewer-amanhsn
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-reviewer
Source: https://github.com/amanhsn/flyerbuild/tree/main/.cursor/skills/code-reviewer
Command: npx skills add https://github.com/amanhsn/flyerbuild --skill code-reviewer-amanhsn

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python-magic, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the tedious and time-consuming process of code review, ensuring higher code quality, identifying potential risks early, and freeing up developer time for more complex tasks.

Core Features & Use Cases

  • Automated Code Analysis: Analyzes code for complexity, code smells, and SOLID violations.
  • Risk Detection: Identifies hardcoded secrets, SQL injection patterns, and other security vulnerabilities.
  • Review Prioritization: Generates reports and suggests review order based on file criticality and risk.
  • Use Case: Integrate this Skill into your CI/CD pipeline to automatically flag potential issues in pull requests before human reviewers even look at them, speeding up the development cycle and improving code reliability.

Quick Start

Use the code-reviewer skill to analyze the current pull request for potential issues.

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 for pull requests in multiple programming languages?▼

Automated code review analyzes pull requests across TypeScript, JavaScript, Python, Go, Swift, and Kotlin to detect complexity, security vulnerabilities, and SOLID violations. It generates comprehensive reports with prioritized review suggestions based on file criticality and risk.

Can I detect security vulnerabilities like hardcoded secrets and SQL injection during static code analysis?▼

Static code analysis identifies security risks including hardcoded secrets and SQL injection patterns during pull request reviews. It scans git diffs to flag potential vulnerabilities before human reviewers examine the code, improving early risk detection.

What is the best way to identify code smells and SOLID violations in a CI/CD pipeline?▼

Identifying code smells and SOLID violations in a CI/CD pipeline is done by integrating static code analysis tools that evaluate pull request diffs. This detects quality issues early, speeds up the development cycle, and frees up developer time.

Does automated code review work with Python, Go, Swift, and Kotlin projects?▼

Automated code review supports Python, Go, Swift, and Kotlin projects, alongside TypeScript and JavaScript. It analyzes git diffs and applies static analysis to detect complexity, code smells, and security vulnerabilities across these languages.

How do I generate review reports that prioritize files by risk and criticality?▼

Review reports that prioritize files by risk and criticality are generated by analyzing pull request diffs for complexity, security vulnerabilities, and code quality issues. The resulting report suggests a review order based on file criticality to focus human attention.

Why does automated code review require python-magic to run?▼

Automated code review requires the python-magic dependency to perform file type detection during static analysis. This ensures the correct language-specific parsing and analysis rules are applied when evaluating pull request diffs for code quality and security risks.

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