code-review

Analyze code for security, performance, and maintainability issues with severity-ranked reports.

1|Updated Feb 19, 2026
One-click install
npx skills add https://github.com/Eli5DeFi/Cognos --skill code-review-eli5defi
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/Eli5DeFi/Cognos/tree/main/skills/code-review
Command: npx skills add https://github.com/Eli5DeFi/Cognos --skill code-review-eli5defi

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the process of reviewing code for security vulnerabilities, performance bottlenecks, maintainability issues, and adherence to best practices, ensuring higher code quality and reducing the risk of bugs.

Core Features & Use Cases

  • Comprehensive Analysis: Performs checks across security, performance, readability, architecture, and test coverage.
  • Severity-Based Reporting: Organizes findings by severity (Critical to Nit) for clear prioritization.
  • Actionable Feedback: Provides specific suggestions for fixes and includes positive observations.
  • Use Case: Integrate this Skill into your CI/CD pipeline to automatically flag potential issues in pull requests before they are merged, or use it manually to get a thorough self-review of your code.

Quick Start

Use the code-review skill to review the provided TypeScript code snippet, focusing on security.

Frequently Asked Questions about code-review

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

FAQPage Schema
How do I automate security audits and code reviews for my pull requests?

Automating security audits and code reviews involves systematically analyzing code across multiple dimensions to identify vulnerabilities, performance issues, and maintainability problems, generating structured reports with severity-ranked findings and actionable remediation advice.

What is the best way to analyze code for performance bottlenecks and maintainability issues?

Analyzing code for performance and maintainability requires a systematic review across architecture, correctness, and test coverage, producing severity-based feedback that prioritizes critical fixes and includes specific suggestions for improvement.

Can I integrate automated code quality checks into my CI/CD pipeline?

Yes, integrating automated code quality checks into a CI/CD pipeline systematically flags potential security vulnerabilities and performance issues in pull requests before they are merged, ensuring higher code quality through comprehensive multi-dimensional analysis.

Does automated code review provide actionable feedback for fixing security vulnerabilities?

Automated code review provides actionable feedback by organizing findings by severity from Critical to Nit, delivering specific suggestions for fixes alongside positive observations to ensure clear prioritization and structured remediation advice.

How do I get a thorough self-review of my code for architecture and test coverage?

Getting a thorough self-review of code for architecture and test coverage requires performing systematic checks across multiple dimensions, generating structured reports that highlight correctness issues and provide actionable remediation advice.