code-reviewer

Review source code for defects, security risks, and performance issues.

Updated May 5, 2026

Search Tags:#static analysis #code review #performance #security #maintainability #pull requests

Ready to run

npx skills add https://github.com/Movchanets/Microservices_Learning --skill code-reviewer-movchanets

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps teams catch defects, security weaknesses, performance regressions, and maintainability issues before changes reach production.

Core Features & Use Cases

Structured Code Review: Evaluates code changes with a clear focus on correctness, architecture, and long-term maintainability.
Security and Reliability Checks: Flags common vulnerabilities, unsafe patterns, configuration risks, and missing safeguards.
Performance and Scalability Review: Assesses database access, async behavior, dependency usage, and microservice interactions for bottlenecks.
Use Case: A developer submits a pull request for a new microservice endpoint, and this Skill produces prioritized feedback on design, tests, observability, and deployment risk.

Quick Start

Use the code-reviewer skill to review this pull request for security, performance, and maintainability issues, then return prioritized, actionable feedback.

Frequently Asked Questions about code-reviewer

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

FAQPage Schema

How do I review a pull request for security, performance, and maintainability issues?▼

Reviewing a pull request for security, performance, and maintainability issues involves analyzing source code changes to identify defects, vulnerabilities, and architectural bottlenecks. Structured code review assesses correctness, unsafe patterns, database access, and long-term maintainability to produce prioritized, actionable feedback.

What is static analysis for code review in CI/CD pipelines?▼

Static analysis for code review in CI/CD pipelines is the automated process of evaluating source code without executing it to catch defects and security risks early. It applies architectural checks, reliability assessments, and test reviews to configuration changes and microservice interactions before production deployment.

Can I use AI-assisted analysis to check microservice interactions and database access for performance bottlenecks?▼

AI-assisted analysis can check microservice interactions and database access for performance bottlenecks by evaluating async behavior and dependency usage. Performance and scalability reviews identify inefficient access patterns and unsafe configurations, generating production-grade recommendations for modern development workflows.

Does this automated code review work for language-specific codebases and configuration changes?▼

Automated code review works effectively for language-specific codebases and configuration changes by applying structured assessment and static scanning. It evaluates code changes for correctness, flags configuration risks, and provides actionable feedback tailored to the specific patterns and safeguards required by the target environment.

What's the best way to identify security risks and missing safeguards in microservice endpoints?▼

The best way to identify security risks and missing safeguards in microservice endpoints is through structured code review that combines static scanning with architectural checks. This approach flags common vulnerabilities, unsafe patterns, and deployment risks while providing prioritized feedback on observability and reliability.