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BoraPerusic
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code-review-ai-ai-review

Automates AI-assisted code review combining static analysis tools for GitHub pull requests.

Updated Apr 12, 2026
Search Tags:#security#maintainability#static-analysis#code-review#pull-request#ai-review#ci cd
One-click install
npx skills add https://github.com/BoraPerusic/agents --skill code-review-ai-ai-review-boraperusic
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-review-ai-ai-review
Source: https://github.com/BoraPerusic/agents/tree/main/skills/to%20try/code-review-ai-ai-review
Command: npx skills add https://github.com/BoraPerusic/agents --skill code-review-ai-ai-review-boraperusic

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates AI-assisted code reviews by uniting automated static analysis with AI-powered insights to catch defects earlier and guide teams toward higher-quality pulls.

Core Features & Use Cases

  • Multi-tool static analysis integration (CodeQL, SonarQube, Semgrep, Snyk/Dependabot, GitGuardian/TruffleHog) for comprehensive risk assessment.
  • AI-assisted review generation with structured comments, line references, fix examples, and prioritization.
  • CI/CD integration and PR triage workflows that scale across 30+ languages and large diffs.

Quick Start

Review the active pull request with AI-assisted code review to surface issues, provide actionable fixes, and produce structured comments.

Frequently Asked Questions about code-review-ai-ai-review

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

FAQPage Schema
How do I automate AI code reviews in GitHub Actions CI/CD pipelines?▼

You can automate AI code reviews by integrating this tool into your GitHub Actions workflows to analyze pull requests, generate structured comments with severity levels, and provide fix examples at PR speed.

Can I combine static analysis tools like SonarQube and Semgrep with AI-assisted code review?▼

Yes, AI-assisted code review combines multi-tool static analysis from CodeQL, SonarQube, Semgrep, Snyk, Dependabot, GitGuardian, and TruffleHog with AI insights to assess risks and catch defects earlier.

Does AI code review support multi-language repositories and large diffs?▼

AI code review scales across 30+ languages and handles large diffs within CI/CD workflows, applying multi-tool static analysis and AI-generated structured comments to features, fixes, and refactors.

What is the best way to surface security vulnerabilities and secrets in pull requests?▼

The best way to surface security vulnerabilities is combining static analysis with AI review, using tools like Semgrep, Snyk, Dependabot, GitGuardian, and TruffleHog to identify risks and generate prioritized fixes.

How do AI code review tools structure comments on pull requests?▼

AI code review tools structure comments with line references, severity prioritization, and actionable fix examples, guiding teams toward higher-quality pulls by combining static analysis with AI-powered insights.

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