code-reviewer

Analyze code for security, performance, and readability with LGTM or Request Changes verdicts.

1|Updated Feb 14, 2026
One-click install
npx skills add https://github.com/ynitto/sandbox --skill code-reviewer-ynitto
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-reviewer
Source: https://github.com/ynitto/sandbox/tree/main/.github/skills/code-reviewer
Command: npx skills add https://github.com/ynitto/sandbox --skill code-reviewer-ynitto

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Code review can be time-consuming and error-prone; this skill automates structured reviews focusing on security, performance, and readability to yield actionable feedback.

Core Features & Use Cases

  • Workflow-driven review: analyzes code against user-defined or project-wide rules to identify issues and suggest changes.
  • Structured feedback: returns clear assessment (LGTM / Request Changes) with justification and prioritized fixes.
  • Use Case: When onboarding a new codebase, run automated reviews on pull requests to surface critical vulnerabilities and readability improvements.

Quick Start

Review the provided code and deliver an LGTM or Request Changes verdict based on security, performance, and readability criteria.

Frequently Asked Questions about code-reviewer

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

FAQPage Schema
How do I automate code reviews for security and readability?

Automated code review analyzes your codebase for security, performance, and readability, applying rule-based checks to output a clear LGTM or Request Changes verdict with prioritized fixes.

What is structured code review feedback and how does it work?

Structured code review feedback applies user-provided rules or project-wide standards to evaluate code, returning a testable LGTM or Request Changes assessment with actionable justifications.

Can I use automated code review across different programming languages?

Yes, automated code review applies to tasks across languages by evaluating code against user-provided rules or project-wide standards to yield consistent security and performance assessments.

How do I run a code review on a pull request to surface vulnerabilities?

Run an automated code review on pull requests to identify critical security vulnerabilities and readability improvements, delivering a Request Changes verdict with prioritized fixes for onboarding new codebases.

Does automated code review work with custom project linting rules?

Yes, automated code review works with user-provided rules or project-wide standards, implementing rule-based checks and structured feedback to enable consistent and testable lint assessments.

What are the limitations of automated code review for performance checks?

Automated code review focuses on security, performance, and readability using rule-based checks; it outputs LGTM or Request Changes verdicts but does not execute code or perform runtime profiling.