code-review

Analyze code quality across 12 dimensions and output a weighted score.

1|1|Updated Feb 1, 2026
One-click install
npx skills add https://github.com/corbat-tech/coco --skill code-review-corbat-tech
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/corbat-tech/coco/tree/main/.claude/skills/code-review
Command: npx skills add https://github.com/corbat-tech/coco --skill code-review-corbat-tech

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the process of evaluating code quality, providing objective, data-driven feedback across multiple critical dimensions. It helps identify potential issues before they become costly bugs or security vulnerabilities.

Core Features & Use Cases

  • Comprehensive Analysis: Assesses code across 12 distinct quality dimensions including correctness, security, test coverage, and readability.
  • Objective Scoring: Provides a numeric score (0-100) and a grade for each dimension and overall, enabling clear progress tracking.
  • Severity Classification: Issues are categorized by severity (P0-P3) to prioritize fixes effectively.
  • Use Case: A development team can use this skill to perform a pre-merge code review, ensuring that all code meets a defined quality bar before being integrated into the main branch.

Quick Start

Run a full code review on the entire project.

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 and score code quality before merging?

You can automate code review by running a read-only agent that evaluates code quality across 12 dimensions. It performs static analysis and manual assessment, then outputs a weighted score from 0-100 with a corresponding grade to enforce quality bars before merge.

What is static analysis and how does it classify code issues by severity?

Static analysis examines source code without executing it to identify vulnerabilities and quality issues. This process classifies detected issues into severity levels P0, P1, P2, and P3, enabling development teams to prioritize fixes effectively before integration.

How do I assess test coverage and test quality during a code review?

To assess test coverage and test quality, run an agent-implemented analysis that evaluates these as two distinct dimensions among twelve. It captures automated check results and performs manual code assessment to ensure comprehensive test validation.

Can I use this automated code review for pre-merge quality assurance on any project?

Yes, you can use this read-only code quality analysis for pre-merge quality assurance. It requires no external dependencies or components, making it suitable for evaluating correctness, robustness, and security across diverse software engineering projects.

Does code review evaluate security analysis and documentation as separate dimensions?

Yes, security analysis and documentation are evaluated as distinct dimensions within the 12-dimension code review. The process assesses each category individually, providing a specific score and grade for overall objective progress tracking.

What are the limitations of agent-implemented code quality analysis?

The primary limitation of this agent-implemented code quality analysis is its read-only nature. While it identifies issues across 12 dimensions and classifies severity from P0 to P3, it does not automatically modify or fix the underlying source code.