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BoraPerusic
BoraPerusicCOMMUNITY
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code-reviewer

Automate expert code review for multi-language codebases and pull requests.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manual code review is time-consuming and error-prone; this skill provides AI-powered analysis to identify defects, security gaps, and maintainability issues across codebases.

Core Features & Use Cases

  • AI-powered multi-language code analysis to detect bugs, vulnerabilities, and performance issues.
  • PR review automation with actionable feedback, templates, and checklists to accelerate reviews.
  • Architecture and maintainability guidance across teams, with reusable patterns and best practices.

Quick Start

Prompt the AI to review the provided repository and summarize critical issues, suggested fixes, and verification steps.

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 review for multi-language codebases?▼

Automated pull request review applies AI-powered analysis and static tools to multi-language codebases, delivering structured feedback, risk flags, and verification steps to accelerate code review workflows.

What is AI-assisted static analysis for software engineering?▼

AI-assisted static analysis detects bugs, vulnerabilities, and performance issues across codebases, providing actionable recommendations and maintainability guidance to replace error-prone manual code review.

Can I integrate SAST and SCA scanners with automated code review?▼

Yes, automated code review supports integration with common tooling including linters and SAST/SCA scanners to perform production-grade quality assessments and output actionable checklists.

Does AI code review work for production-grade quality assessments?▼

AI code review handles production-grade quality assessments by evaluating architecture, flagging security gaps, and outputting structured checklists for multi-language software projects.

What is the best way to identify security vulnerabilities during a code review?▼

The best way to identify security vulnerabilities is combining AI analysis with SAST scanners, which flags risks and outputs verification steps to ensure codebase security and maintainability.

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