A quality assurance loop designed to prevent performance degradation in iterative AI agent development. It provides the missing feedback mechanism to maintain agent honesty and output consistency across versions.
Tech Stack
PythonAI, ML & Data
Why agent-skill-floop?
• Prevents model degradation
• Structured evaluation metrics
• Developer-centric workflow
Limitations
• Requires integration effort
• Niche use case focus
• Documentation is evolving
4/10/2026
Last Update
0
Forks
0
Issues
Unknown
License
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