One-click install
npx skills add https://github.com/cosmoscalibur/agent-hardness --skill review-cosmoscalibur
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: review
Source: https://github.com/cosmoscalibur/agent-hardness/tree/main/skills/review
Command: npx skills add https://github.com/cosmoscalibur/agent-hardness --skill review-cosmoscalibur

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the code review process, ensuring functional correctness, adversarial edge cases, over-engineering, and performance are consistently checked.

Core Features & Use Cases

  • Functional Correctness: Checks code against specifications and standards.
  • Adversarial Testing: Identifies edge cases and potential failures.
  • Performance Analysis: Evaluates algorithmic complexity and resource usage.
  • Use Case: After the implementation phase, automatically invoke this Skill to review code changes for quality and performance before merging into the main codebase.

Quick Start

Review the changes in the 'feature branch' using the 'review' skill.

Frequently Asked Questions about review

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

FAQPage Schema
How do I automate code review for continuous integration?

You can automate code review for continuous integration by invoking this Skill to check code changes for functional correctness, adversarial edge cases, and performance before merging into the main codebase.

How does AST-based analysis detect over-engineering in code changes?

AST-based analysis detects over-engineering by parsing the structural representation of code changes to evaluate complexity and identify unnecessary abstractions before merging into the main codebase.

Can I check for adversarial edge cases in version control system changes?

Yes, you can check for adversarial edge cases in version control system changes by integrating this Skill to identify potential failures and ensure functional correctness during your continuous integration flows.

What is the best way to evaluate algorithmic complexity and resource usage?

The best way to evaluate algorithmic complexity and resource usage is using performance analysis features that automatically assess code changes for performance bottlenecks during the review process.

Does automated code review work without additional dependencies?

Yes, automated code review works without additional dependencies, relying solely on its internal AST-based analysis to ensure functional correctness and quality assurance in your code changes.