| name | self-validation-loop |
| description | Run self-validation loops for triadic color systems using prediction |
| version | 1.0.0 |
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
- Predict expected colors (efference copy).
- Observe actual colors (color_at or stream generation).
- Compare predictions with observations.
- 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."
Scientific Skill Interleaving
This skill connects to the K-Dense-AI/claude-scientific-skills ecosystem:
Graph Theory
- networkx [○] via bicomodule
- Universal graph hub
Bibliography References
general: 734 citations in bib.duckdb
Cat# Integration
This skill maps to Cat# = Comod(P) as a bicomodule in the equipment structure:
Trit: 0 (ERGODIC)
Home: Prof
Poly Op: ⊗
Kan Role: Adj
Color: #26D826
GF(3) Naturality
The skill participates in triads satisfying:
(-1) + (0) + (+1) ≡ 0 (mod 3)
This ensures compositional coherence in the Cat# equipment structure.