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The Self-Validation Loop skill is designed for developers working with 3-stream color systems and active inference models within the plurigrid/asi topological framework. It automates the process of predictive processing by generating efference copies of expected colors and comparing them against actual observations from generators like splitmix_ternary or gay_mcp. By calculating metrics such as surprise and accuracy, the skill enables precise tuning of self-modeling systems, ensuring that color generation logic remains consistent and error-free during complex simulations.