code-review

Automates pull-request reviews for code quality, security, and maintainability across languages and frameworks.

1|Updated Jan 16, 2026
One-click install
npx skills add https://github.com/enact-on/super-ai-github --skill code-review-enact-on
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/enact-on/super-ai-github/tree/main/.opencode/skill/code-review
Command: npx skills add https://github.com/enact-on/super-ai-github --skill code-review-enact-on

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates comprehensive pull request reviews by analyzing code quality, security considerations, and maintainability to reduce manual review time.

Core Features & Use Cases

  • Automated code quality assessment across languages and frameworks
  • Security and reliability checks with actionable recommendations
  • Use Case: Integrate into CI/CD to provide PR-level feedback before merges

Quick Start

Trigger the code-review skill against a PR to generate a structured report with prioritized issues and suggested fixes.

Frequently Asked Questions about code-review

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

FAQPage Schema
How do I automate pull request code reviews for multi-language projects?

Automated pull request code review analyzes code quality, security, and maintainability across multi-language projects to reduce manual review effort. It generates structured findings with prioritized fixes and confidence scoring before merges.

Can I use automated code review to check security and reliability in my CI/CD pipeline?

Yes, you can integrate automated code review into your CI/CD pipeline to perform security and reliability checks. It provides actionable recommendations and structured reporting directly at the PR level before code merges.

What is confidence scoring in static analysis and how does it prioritize code fixes?

Confidence scoring in static analysis evaluates the severity and impact of detected code quality and security issues. It helps prioritize fixes by generating a structured report that highlights the most critical maintainability findings for developers.

Does automated static analysis work consistently across different repository sizes and frameworks?

Automated static analysis applies to multi-repo, multi-language projects and various PR sizes. It ensures consistent review patterns by applying severity-based reporting and actionable recommendations regardless of the repository scale.

How do I get actionable recommendations from a PR code review without manual effort?

Triggering an automated PR code review generates a structured report containing prioritized issues and suggested fixes. This reduces manual review time by providing actionable recommendations based on code quality and security analysis.