ck:code-review

To automate code review for a specific commit, you can use a skill that fetches commit data via the GitHub API and performs adversarial analysis to identify security holes and code quality issues. It requires git and GitHub API access to extract the necessary codebase information.

Adversarial code review is an automated technique that aggressively tests codebase assumptions to uncover failure modes and security vulnerabilities. By simulating edge cases and attacking false assumptions, it identifies potential issues before they manifest in production environments.

Yes, you need both git and GitHub API access to run automated code quality assurance. These dependencies are required to fetch code changes, pull request details, and commit information necessary for performing accurate reviews and identifying potential issues.

Yes, you can scan an entire codebase for potential failure modes. The automated review process supports multiple input modes including codebase scans and parallel codebase audits to comprehensively identify security holes and false assumptions across your project.

The best way to review pending code changes for technical correctness is using an automated quality assurance skill that supports pending changes as an input mode. It performs adversarial reviews to ensure technical correctness and identifies potential issues automatically.