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januarfonti
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code-review

Analyze code submissions for quality, security, and performance issues.

10|2|Updated Jan 15, 2026
Search Tags:#quality assurance#code review#performance analysis#security assessment#pull request analysis
One-click install
npx skills add https://github.com/januarfonti/opencode-template-configured --skill code-review-januarfonti
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/januarfonti/opencode-template-configured/tree/main/skills/code-review
Command: npx skills add https://github.com/januarfonti/opencode-template-configured --skill code-review-januarfonti

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

The code-review Skill streamlines the process of analyzing code for quality, security, and performance issues, enabling efficient code audits and pull request reviews.

Core Features & Use Cases

  • Automated Code Review: Analyze pull requests or code files for security vulnerabilities, performance bottlenecks, and code quality concerns.
  • Specialized Review Patterns: Detects common security vulnerabilities, performance issues, code smells, and test coverage gaps.
  • Use Case: Integrate this Skill into your development workflow to ensure code adheres to best practices and standards, before merging into production.

Quick Start

Run a code review on your latest pull request with the command: 'code-review pr my-pr-1234'

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 review for GitHub pull requests?▼

Automated code review analyzes pull requests for security vulnerabilities, performance bottlenecks, and code quality concerns. You can run a review on a specific pull request using the command 'code-review pr my-pr-1234' to ensure adherence to best practices before merging.

What does automated code analysis detect in a codebase?▼

Automated code analysis detects common security vulnerabilities, performance issues, code smells, and test coverage gaps. It assesses code submissions against best practices and standards to identify quality concerns before production deployment.

Can I use code review tools with various programming languages?▼

Yes, the code review service supports various programming languages for analyzing code quality, security, and performance. It requires appropriate libraries for code parsing and analysis to process submissions across different language environments.

What's the best way to integrate security assessment into a development workflow?▼

Integrate an automated code review service into your development workflow to run security assessments on pull requests or code files. This ensures code adheres to best practices and standards before merging into production.

Do I need external libraries for code parsing and analysis?▼

Yes, appropriate libraries for code parsing and analysis are required to perform automated code reviews. The service depends on these specific libraries to accurately analyze code submissions for quality, security, and performance issues.

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