code-review

Analyze code consistency, data correctness, and security in GitHub PRs or local code.

2|Updated Jan 7, 2026

Search Tags:#code review #consistency #security #subagent #Go

Ready to run

npx skills add https://github.com/Integralist/agent-skills --skill code-review-integralist

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/Integralist/agent-skills/tree/main/.agents/skills/code-review
Command: npx skills add https://github.com/Integralist/agent-skills --skill code-review-integralist

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of code reviews, providing specialized subagents to analyze consistency, idiomatic Go, data correctness, and security. It works on Pull Requests (PRs) or local code, and can check against an implementation plan if provided.

Core Features & Use Cases

Parallel Subagent Reviews: Conducts parallel reviews by up to four specialized subagents, with an option for a fifth with --plan.
PR and Local Code Support: Works with GitHub PRs or local code changes.
Plan Adherence Review: Checks code against an implementation plan if provided.
Structured Findings: Outputs findings in a structured JSON format for easy analysis and deduplication.

Quick Start

Run the code-review skill on your local code with the following command:

code-review --uncommitted

Frequently Asked Questions about code-review

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

FAQPage Schema

How do I automate code reviews for consistency and security?▼

You can automate code reviews by using specialized subagents to analyze code consistency, data correctness, and security. This skill works on GitHub Pull Requests or local code and outputs structured JSON findings.

What is the best way to check local code changes for security and data correctness?▼

The best way to check local code changes is to run an automated code review on uncommitted code. This triggers subagents to analyze your local codebase for consistency, data correctness, and security vulnerabilities.

Can I check if my code adheres to an implementation plan?▼

Yes, you can check code against an implementation plan by running the review with a plan option. This adds a specialized subagent to verify that your code changes align with the provided implementation plan.

Does this code review tool support Go projects?▼

Yes, this code review tool supports Go projects by using specialized subagents to check for idiomatic Go code. It ensures your Go code follows consistency, security, and data correctness standards.

How does an automated code review output its findings?▼

An automated code review outputs its findings in a structured JSON format. This allows for easy analysis and deduplication of the consistency, data correctness, and security issues found by the subagents.

What are the limitations of using subagents for code reviews?▼

The subagent code review process is limited to analyzing consistency, data correctness, security, and optionally plan adherence. It requires a GitHub PR or local code base to function and does not perform execution-based testing.