Review code differences for bugs, vulnerabilities, and quality issues.
npx skills add https://github.com/giljae/gstack-antigravity --skill codex-giljae
Please help me install this Agent Skill. Skill: codex Source: https://github.com/giljae/gstack-antigravity/tree/main/gstack-origin/codex Command: npx skills add https://github.com/giljae/gstack-antigravity --skill codex-giljae
This Skill enables developers and teams to perform detailed, automated code reviews, adversarial testing, and consultations with AI, reducing manual effort and increasing code quality.
Run codex review to analyze your latest code changes against the base branch or ask specific questions about your codebase directly through the AI.
High-intent search queries and answers about installing and using this skill.
Automated AI code review analyzes your git diff to identify bugs, security vulnerabilities, and quality issues. You can run a simple command against your base branch to receive an unbiased, thorough assessment of code differences before deployment.
Adversarial testing simulates attack vectors and edge cases against your software to identify failure points and security weaknesses. It provides AI-guided assessments to ensure thorough evaluation of code vulnerabilities with minimal manual effort.
Yes, AI codebase consulting supports Python and JSON dependencies to discuss code logic, design decisions, and architecture. You can ask specific questions about your codebase directly through the AI to obtain insights for improvements or clarification.
Run a differential analysis command to perform a security vulnerability assessment on your latest code changes. This evaluates code quality and security against the base branch, providing detailed reasoning and interactive questioning for thorough validation.
Yes, automated code review integrates directly with Git repositories for differential analysis. It evaluates code differences between branches to detect bugs and security vulnerabilities through AI-guided assessments, ensuring thorough evaluation of code quality.
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