code-reviewer

Name: code-reviewer
Availability: InStock
Author: i-onlabs

Automate code review analysis and feedback generation across multiple languages.

3|1|Updated Dec 21, 2025

Search Tags:#automation #security #static-analysis #lint #code-review #pull-requests

Ready to run

npx skills add https://github.com/I-Onlabs/claude-code-skills --skill code-reviewer-i-onlabs

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: code-reviewer
Source: https://github.com/I-Onlabs/claude-code-skills/tree/main/code-reviewer
Command: npx skills add https://github.com/I-Onlabs/claude-code-skills --skill code-reviewer-i-onlabs

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Manual code reviews are time-consuming and prone to oversight. This Skill provides an automated toolkit to analyze code quality, enforce best practices, and generate actionable feedback across multiple languages.

Core Features & Use Cases

Automated code-quality analysis and best-practice checks for TypeScript, JavaScript, Python, Swift, Kotlin, and Go.
Security scanning and compliance checks integrated into PR reviews.
Review checklist generation and structured feedback reports for engineers and reviewers.

Quick Start

To begin, provide the repository path or PR link to initialize automated code review and generate a feedback report.

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 pull requests across multiple programming languages?▼

Automated code review applies static analysis and best-practice checks to pull requests across TypeScript, JavaScript, Python, Swift, Kotlin, and Go. It analyzes code quality, runs security scanning, and generates structured feedback reports to speed up the review cycle.

What is automated code quality analysis and how does it enforce best practices?▼

Automated code quality analysis evaluates source code against coding standards to detect issues and enforce best practices. It uses scripts to analyze pull requests, check compliance, and generate review checklists with actionable feedback for engineers.

Can I run security scanning and compliance checks during PR reviews?▼

Security scanning and compliance checks can be integrated directly into PR reviews. The automated review process evaluates code for security vulnerabilities and compliance with best practices, generating structured feedback reports for reviewers.

How do I generate structured code review reports and checklists for my engineering team?▼

Structured code review reports and checklists are generated by running analyzer and report generator scripts on your repository. These scripts scaffold the review process, analyze code quality, and output actionable feedback references aligned with coding standards.

Does automated static analysis work with Python, Swift, Kotlin, and Go projects?▼

Automated static analysis supports Python, Swift, Kotlin, and Go projects, alongside TypeScript and JavaScript. It applies code-quality checks, security scanning, and best-practice feedback generation directly to pull requests in these languages.

What are the limitations of automated code review compared to manual review?▼

Automated code review accelerates quality checks and security scanning but may lack the contextual oversight of manual review. It excels at enforcing coding standards and generating feedback reports, yet complex architectural decisions still require human evaluation.