code-reviewer

Automate code reviews to identify security, performance, and reliability issues.

Updated Feb 24, 2026

Search Tags:#ci/cd #static analysis #code review #performance #security #ai-assisted #production reliability

Ready to run

npx skills add https://github.com/chicanoandres702/SentientAIBrowser --skill code-reviewer-chicanoandres702

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: code-reviewer
Source: https://github.com/chicanoandres702/SentientAIBrowser/tree/main/.agents/workflows/code-reviewer
Command: npx skills add https://github.com/chicanoandres702/SentientAIBrowser --skill code-reviewer-chicanoandres702

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Code review is time-consuming and inconsistent. This Skill provides AI-assisted, comprehensive code analysis to uncover security vulnerabilities, performance bottlenecks, and maintainability concerns across modern codebases.

Core Features & Use Cases

AI-powered code analysis across multiple languages with context-aware recommendations.
Static analysis tooling integration (SonarQube, CodeQL, Semgrep) and security scanners (Snyk, Bandit, OWASP).
Automated pull request analysis, detailed feedback templates, and guidance for remediation.

Quick Start

Provide an AI-assisted code review for the latest pull request to surface critical issues and recommended fixes.

Frequently Asked Questions about code-reviewer

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

FAQPage Schema

How do I automate pull request analysis for security and performance issues?▼

Automated pull request analysis detects security vulnerabilities and performance bottlenecks using AI-assisted code review. It integrates static analysis tools like SonarQube and Semgrep to provide structured, actionable remediation feedback.

What is AI-assisted code review and how does it find vulnerabilities?▼

AI-assisted code review applies context-aware analysis across multi-language codebases to uncover security vulnerabilities and maintainability concerns. It leverages security scanners like Snyk, Bandit, and OWASP to detect issues and enforce production reliability.

Can I use static analysis tools like CodeQL and SonarQube for multi-language codebases?▼

Static analysis tools like CodeQL and SonarQube can be integrated for multi-language codebases. This Skill applies automated code review across JavaScript, Python, Java, and Go to surface critical issues and provide context-aware recommendations.

Does automated code review work with Python and JavaScript security scanners?▼

Automated code review works with Python and JavaScript security scanners like Bandit, Snyk, and OWASP. It analyzes multi-language projects to identify security vulnerabilities and performance bottlenecks, outputting structured feedback.

What's the best way to audit production code for reliability and maintainability?▼

Auditing production code for reliability involves integrating AI-assisted analysis with static analysis tooling like Semgrep. This approach identifies security vulnerabilities, performance bottlenecks, and maintainability concerns while providing actionable remediation guidance.