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speckit.reviewer

Automate Git-based code reviews across correctness, security, and maintainability dimensions.

Updated Apr 5, 2026
Search Tags:#code quality#code review#feedback#issue tracking#automated review
One-click install
npx skills add https://github.com/prof-danielc/SpaceScream --skill speckit-reviewer-prof-danielc
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: speckit.reviewer
Source: https://github.com/prof-danielc/SpaceScream/tree/main/.agent/skills/speckit.reviewer
Command: npx skills add https://github.com/prof-danielc/SpaceScream --skill speckit-reviewer-prof-danielc

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates code reviews, providing users with actionable feedback and suggestions, streamlining the review process.

Core Features & Use Cases

  • Automated Code Review: Offers a streamlined process for code review with severity levels and actionable feedback.
  • Review Scope: Supports file paths, git staged changes, and branch comparisons.
  • Review Categories: Comprehensive check across correctness, security, performance, maintainability, and best practices.
  • Output: Generates a structured review report highlighting issues and recommendations.

Quick Start

Review the code in 'main.py' for any issues.

Frequently Asked Questions about speckit.reviewer

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

FAQPage Schema
How do I automate code review for git staged changes and branch comparisons?▼

Automated code review for git staged changes and branch comparisons is performed by executing Python scripts that access your repository, categorize issues by severity, and generate a structured review report with actionable feedback.

What categories does an automated code review cover for maintainability and security?▼

Automated code review covers correctness, security, performance, maintainability, and best practices, identifying issues across these dimensions and providing structured recommendations to improve overall code quality.

Do I need git and Python to run automated code reviews on my repository?▼

Yes, you need git installed to access code repositories and Python to execute the review scripts, which analyze file paths, staged changes, or branch comparisons to produce actionable feedback.

How do I review code in a specific file like main.py for issues and best practices?▼

Reviewing code in a specific file like main.py for issues and best practices requires providing the file path to the review script, which then analyzes correctness, security, performance, and maintainability to output a structured report.

What is the best way to get actionable feedback and suggestions from an automated code review?▼

The best way to get actionable feedback and suggestions is running the automated code review script, which identifies categorized issues with severity levels and outputs a structured report highlighting specific recommendations.

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