Does it provide code examples for the fixes it suggests?

Absolutely. Every critical issue identified by the skill includes a detailed description, a line reference, and a concrete code example demonstrating how to fix the problem.

How does it identify security vulnerabilities?

It uses a multi-layered approach: static analysis (SAST) for known patterns, secret scanning for credentials, and AI-driven threat modeling to detect complex flaws like authentication bypass or IDOR.

Can this skill be integrated into my existing CI/CD pipeline?

Yes, the skill includes pre-configured GitHub Action templates that allow you to automate reviews, post comments to PRs, and enforce quality gates based on issue severity.

How does it handle very large pull requests?

The skill includes a routing strategy that scales the depth of analysis based on PR size. For extremely large changes, it can flag the PR for mandatory human review to ensure quality.

What languages does the AI Code Review Specialist support?

It supports over 30 programming languages by combining language-agnostic AI reasoning with language-specific static analysis tools like CodeQL and SonarQube.

AI Code Review Specialist

Name: AI Code Review Specialist
Author: rmyndharis

byrmyndharis

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105

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セキュリティとテスト

Automates multi-layered code reviews by combining static analysis tools with advanced AI models to detect security vulnerabilities, performance bottlenecks, and architectural issues.

This skill empowers Claude to function as an expert reviewer within your development workflow, merging automated static analysis with intelligent pattern recognition. It orchestrates a comprehensive review pipeline using tools like SonarQube, CodeQL, and Semgrep alongside advanced AI models to provide context-aware feedback. Useful for teams looking to scale their peer review process, it ensures architectural coherence, enforces SOLID principles, and identifies critical security flaws—like SQL injection or broken access control—across more than 30 programming languages.

主な機能

01CI/CD pipeline integration with GitHub Actions for automated quality gates

02Architectural coherence checks for SOLID principles and microservices

03Automated performance profiling and N+1 query detection

04AI-enhanced security auditing for OWASP Top 10 and secret detection

05Multi-tool static analysis integration (CodeQL, SonarQube, Semgrep, Snyk)

06105 GitHub stars

ユースケース

01Standardizing architectural patterns and code quality across large engineering teams

02Detecting performance regressions and scalability bottlenecks before deployment

03Automating high-depth security and vulnerability audits for pull requests

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add rmyndharis/antigravity-skills performance-testing-review-ai-review

For use in Claude.ai and ChatGPT

Download Skill