Agent-Skills.md

Agent Skills: Self-Validation Loop

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

UncategorizedID: plurigrid/asi/self-validation-loop

Repository

plurigrid/asi
plurigridLicense: MIT
165

Install this agent skill to your local

pnpm dlx add-skill https://github.com/plurigrid/asi/tree/HEAD/plugins/asi/skills/self-validation-loop

Skill Files

Browse the full folder contents for self-validation-loop.

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plugins/asi/skills/self-validation-loop/SKILL.md

Skill Metadata

Name
self-validation-loop
Description
Run self-validation loops for triadic color systems using prediction

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."

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.