# Self Validation Loop

> Run self-validation loops for triadic color systems using prediction vs observation and error minimization.

- Skill: `plurigrid/self-validation-loop` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add plurigrid/self-validation-loop`
- Raw SKILL.md: https://api.skillmd.com/api/skills/plurigrid/self-validation-loop/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: plurigrid (https://skillmd.com/u/plurigrid)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/plurigrid/self-validation-loop

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# Self-Validation Loop

Use when training or evaluating self-validation for 3-stream color systems.

## Inputs
- seed, indices
- sources: splitmix_ternary, xoroshiro_3color, gay_mcp
- comparator: reafference or comparator

## Workflow
1. Predict expected colors (efference copy).
2. Observe actual colors (color_at or stream generation).
3. Compare predictions with observations.
4. Aggregate accuracy and surprise.

## Gay MCP tools
- gay_seed, efference_copy, color_at, reafference, comparator, active_inference, self_model

## Metrics
- accuracy = matches / total
- surprise = mismatch count or summed error
- pass threshold: accuracy >= 0.99 or surprise == 0

## Output
- JSON log with seed, indices, predicted, observed, errors, accuracy, surprise

## Example prompt
"Run a self-validation loop over indices 1..20 and report accuracy and surprise."