code-reviewer

Analyze pull requests for complexity, risk, and security vulnerabilities.

Updated Feb 21, 2026
One-click install
npx skills add https://github.com/stubbornstoneother/my-fastapi-full-stack --skill code-reviewer-stubbornstoneother
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-reviewer
Source: https://github.com/stubbornstoneother/my-fastapi-full-stack/tree/main/.agent/skills/code-reviewer
Command: npx skills add https://github.com/stubbornstoneother/my-fastapi-full-stack --skill code-reviewer-stubbornstoneother

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pydantic, sqlmodel, pytest, 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 developers' time.

Core Features & Use Cases

  • Automated Code Analysis: Analyzes pull requests for complexity, risk, and adherence to coding standards.
  • Quality Checks: Detects code smells, SOLID violations, and potential bugs.
  • Risk Assessment: Identifies hardcoded secrets, SQL injection patterns, and other security vulnerabilities.
  • Use Case: Integrate this Skill into your CI/CD pipeline to automatically flag issues in pull requests before human review, ensuring only high-quality code is merged.

Quick Start

Use the code-reviewer skill to analyze the current pull request for quality and security 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 across multiple programming languages?

Automated code review analyzes pull requests across TypeScript, JavaScript, Python, Go, Swift, and Kotlin to detect complexity, security vulnerabilities, and SOLID principle violations. It generates detailed review reports and checklists to ensure high-quality code merges.

Can I integrate automated code analysis into my CI/CD pipeline to catch security vulnerabilities?

Automated code analysis integrates directly into CI/CD pipelines to flag issues in pull requests before human review. It identifies hardcoded secrets, SQL injection patterns, and other security vulnerabilities early in the development cycle.

What is the best way to check code for SOLID principle violations and code smells?

Checking code for SOLID principle violations and code smells is best handled by automated quality checks that analyze pull requests. This process assesses code complexity, detects potential bugs, and generates a detailed review report.

Does this automated code reviewer work with Python and Go projects?

The automated code reviewer works with Python and Go projects, alongside TypeScript, JavaScript, Swift, and Kotlin. It analyzes these languages for coding standard adherence, risk assessment, and structural complexity.

How do I assess code complexity and risk in a pull request before merging?

To assess code complexity and risk, automated code review analyzes pull requests for potential bugs and security vulnerabilities. It generates a detailed checklist highlighting hardcoded secrets and structural issues for developers to resolve.