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auravibes-apps
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code-review

Review code changes for bugs, security issues, and quality risks.

Updated Aug 27, 2026
Search Tags:#automation#security#ai#quality#code-review#pull-request
One-click install
npx skills add https://github.com/auravibes-apps/auravibes --skill code-review-auravibes-apps
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/auravibes-apps/auravibes/tree/main/.agents/skills/code-review
Command: npx skills add https://github.com/auravibes-apps/auravibes --skill code-review-auravibes-apps

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI-powered code review and autonomous feedback on changes, enabling developers to identify bugs, security issues, and quality risks with minimal manual intervention.

Core Features & Use Cases

  • Finds bugs, security issues, and quality risks in changed code
  • Groups findings by severity (Critical, Warning, Info)
  • Works on staged, committed, or all changes; supports base branch and commit comparisons
  • Generates actionable fix suggestions in either plain text or concise summaries

Quick Start

Run a review on the latest changes and produce a concise, actionable report.

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 pull requests to find security issues and bugs?▼

Automated code review identifies bugs, security issues, and quality risks in pull requests by analyzing staged or committed changes. It applies deterministic analysis with severity-based grouping to provide actionable fix suggestions.

Can I review staged code changes before committing them to a pull request?▼

Yes, you can review staged code changes before committing. The code review process works on staged, committed, or all changes, supporting both base-branch and commit comparisons for flexible pull request workflows.

How does AI code review group findings by severity?▼

AI code review groups findings by severity levels: Critical, Warning, and Info. This deterministic severity-based grouping helps developers prioritize bugs, security issues, and quality risks effectively during the review process.

What is the best way to get actionable fix suggestions from automated code review?▼

The best way to get actionable fix suggestions is through automated code review, which generates feedback in either plain text or concise summary formats. This provides developers with direct, actionable steps to resolve identified risks.

Does automated code review support base branch comparisons for PR workflows?▼

Yes, automated code review supports base branch and commit comparisons specifically for pull request workflows. This allows developers to evaluate code changes against the main branch to ensure quality and security before merging.

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