code-review

Review code for correctness, security, performance, and maintainability with severity-based reports.

Updated Apr 3, 2026

Search Tags:#checklist #llm #static-analysis #quality-assurance #code-review #software-engineering #review-report

Ready to run

npx skills add https://github.com/Victoriakaey/build-reliable-agents --skill code-review-victoriakaey

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/Victoriakaey/build-reliable-agents/tree/main/skills/code-review
Command: npx skills add https://github.com/Victoriakaey/build-reliable-agents --skill code-review-victoriakaey

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Code reviews are critical but can be inconsistent and time-consuming when assessing quality across multiple dimensions. This Skill automates and standardizes the process by producing a structured, severity-based report that highlights the most significant issues.

Core Features & Use Cases

Automated, severity-based code-review reports that clearly surface risk levels.
Two-mode operation: default automated review and guided self-review with a checklist.
Coverage across correctness, security, performance, maintainability, and AI-specific concerns.
Actionable feedback and prioritized next steps for faster remediation.

Quick Start

Say "review this code" or paste code directly to trigger Mode 1.

Frequently Asked Questions about code-review

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

FAQPage Schema

How do I perform a structured code review that categorizes issues by severity?▼

You can perform a structured code review by pasting code to trigger an automated, severity-based report. This process evaluates correctness, security, performance, and maintainability, producing a hierarchy of issues for prioritized remediation.

Can I use a checklist to guide my own code review process?▼

Yes, you can use a guided self-review mode that provides a checklist to systematically evaluate your own code. This mode assesses correctness, security, performance, maintainability, and AI-specific concerns step by step.

What dimensions does an automated code review cover for quality assurance?▼

Automated code review for quality assurance covers correctness, security, performance, maintainability, and AI-specific concerns. It analyzes code across these dimensions to generate actionable feedback and prioritized next steps.

Does static analysis with an LLM detect AI-specific code concerns?▼

Yes, static analysis with an LLM can detect AI-specific code concerns alongside traditional vulnerabilities. Reviews assess correctness, security, performance, and maintainability while identifying risks unique to AI-generated code patterns.

What is the best way to generate a review report for my teammates' code?▼

The best way to generate a review report for teammates' code is to trigger automated review mode by pasting the code. This produces a structured, severity-based report highlighting significant risks and actionable next steps for remediation.