Does the skill actually fix the issues it finds?

Yes, the skill offers options to implement fixes for critical and important issues, documenting each change with a specific verification method for the user to approve.

What documentation does the skill use for context?

It analyzes project-specific documentation including feature specs, user stories, API contracts, and design plans to ensure the code matches the original requirements.

How does this skill handle large pull requests?

For PRs exceeding five files, the skill utilizes a parallel multi-agent strategy, spawning specialized agents for security, architecture, and API validation to ensure a thorough and efficient audit.

How is the code quality scored?

Code is evaluated on a 100-point scale across five dimensions: Security (25 points), Correctness (25 points), Spec Alignment (20 points), Performance (15 points), and Maintainability (15 points).

Professional Code Review

Name: Professional Code Review
Author: Microck

byMicrock

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Collaboration Tools

Systematically evaluates code changes for security, correctness, and specification alignment to ensure high-quality software delivery.

About

This skill provides a comprehensive framework for auditing code changes by assessing security, performance, maintainability, and alignment with project specifications. It supports both sequential reviews for small pull requests and parallel multi-agent analysis for complex changes, generating detailed reports with a standardized scoring system and prioritized fix recommendations. By integrating context from feature specs and API contracts, it ensures that every line of code meets both technical standards and business requirements.

Key Features

Context-aware review utilizing feature specs, user stories, and API contracts
81 GitHub stars
Parallel multi-agent execution for efficient auditing of large pull requests
Prioritized issue reporting with actionable fix recommendations and spec references
Standardized scoring across security, correctness, and performance dimensions
Automatic verification and documentation of applied fixes for seamless integration

Use Cases

Conducting security-focused audits on sensitive codebase changes and refactors
Automating technical debt and quality assessment during pull request reviews
Verifying implementation alignment against API contracts and design specifications

About

Key Features

Context-aware review utilizing feature specs, user stories, and API contracts
81 GitHub stars
Parallel multi-agent execution for efficient auditing of large pull requests
Prioritized issue reporting with actionable fix recommendations and spec references
Standardized scoring across security, correctness, and performance dimensions
Automatic verification and documentation of applied fixes for seamless integration

Use Cases

Conducting security-focused audits on sensitive codebase changes and refactors
Automating technical debt and quality assessment during pull request reviews
Verifying implementation alignment against API contracts and design specifications