Self-audit generated code with a Chain-of-Verification protocol and install missing skills.
npx skills add https://github.com/ft-frank/UNIHACK --skill wavybaby
Please help me install this Agent Skill. Skill: wavybaby Source: https://github.com/ft-frank/UNIHACK/tree/main/.agents/skills/wavybaby Command: npx skills add https://github.com/ft-frank/UNIHACK --skill wavybaby
This Skill addresses limitations in standard AI coding assistants by adding a robust self-verification process (CoVe), enabling dynamic discovery and installation of missing skills, and incorporating a specialized knowledge base for niche technologies.
Use the wavybaby skill to implement a user profile update feature with CoVe verification.
High-intent search queries and answers about installing and using this skill.
Chain-of-Verification (CoVe) improves AI code generation by applying a rigorous 4-stage audit process to verify stateful logic, async operations, database interactions, and authentication flows for security and race conditions before output.
You can automatically discover and install missing skills by using dynamic skill discovery to search external repositories like skills.sh, identifying required configurations and toolkits before or during task execution.
Yes, AI coding assistants can dynamically install MCP server configurations by utilizing a specialized knowledge base that provides necessary context and automatically installs missing toolkit skills during task execution.
The best way to verify AI-generated authentication flows is using a Chain-of-Verification protocol, which meticulously audits critical logic and security to identify race conditions and install missing authentication skills.
No specific dependencies are required to use dynamic skill discovery, as the feature autonomously searches and installs relevant skills from external repositories like skills.sh directly during your task execution.
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