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Victoriakaey
VictoriakaeyCOMMUNITY
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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
One-click install
npx skills add https://github.com/Victoriakaey/build-reliable-agents --skill code-review-victoriakaey
Or copy as Structured Prompt for Agent▼
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.

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