How does the skill define 'surprise'?

Surprise is quantified as the count of mismatches between predicted and observed colors or the total summed error within a validation run.

What is the success threshold for a validation loop?

By default, a loop passes when accuracy is greater than or equal to 0.99 or when the surprise metric reaches zero.

What is the primary purpose of the Self-Validation Loop skill?

It is used to evaluate and train systems that utilize 3-stream color systems by comparing internal predictions (efference copies) against external observations to minimize error.

Which data sources are supported by this skill?

The skill supports splitmix_ternary, xoroshiro_3color, and gay_mcp sources for generating color streams.

Triadic Color Self-Validation Loop

Name: Triadic Color Self-Validation Loop
Author: plurigrid

byplurigrid

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数据科学与机器学习

Validates triadic color systems by comparing predicted efference copies against actual observed stream data to minimize error.

The Self-Validation Loop skill is designed for developers working with triadic color systems and topological computing. It implements an active inference framework that allows Claude to predict expected color values, observe actual outputs from various sources like splitmix_ternary or gay_mcp, and calculate the resulting surprise or error metrics. This skill is essential for training self-modeling systems and ensuring the accuracy of complex 3-stream simulations through automated testing and high-precision pass thresholds.

主要功能

01Integration with active inference and self-modeling tools

027 GitHub stars

03Real-time accuracy and surprise metric calculation

04Support for ternary and 3-color stream generators

05Automated prediction vs. observation validation loops

06Standardized JSON logging for validation results

使用场景

01Evaluating the reliability of triadic color stream generators

02Training self-modeling agents via predictive error minimization

03Debugging discrepancies in topological chemputer simulations

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add plurigrid/asi self-validation-loop

For use in Claude.ai and ChatGPT

Download Skill