run-fitness-gate

name	run-fitness-gate
description	Execute the empirical Gödel-relaxation gate. Returns ACCEPT / REJECT / UNDECIDED with structured notes.
trigger	orchestrator-after-mutation
allowed_tools	["bash","python"]
output	json {verdict, splits_improved, mean_delta, sigma_noise, threshold, notes}

run-fitness-gate

You orchestrate the empirical Gödel relaxation. The gate logic is in oniro/orchestrator/godel_gate.py; this skill drives the I/O around it.

Procedure

1. Load theta_0 (parent checkpoint) and theta_1 (candidate after mutation).
2. For each of the 10 OOD splits in oniro/eval/ood_buffer/:
   • Run a fixed-seed forward pass with theta_0 and record predictive loss.
   • Run the same forward pass with theta_1 and record predictive loss.
3. Call GodelGate.evaluate(baseline_losses, candidate_losses).
4. Persist the GateDecision to oniro/wiki/variants/<variant_id>.md under the gate: frontmatter field.
5. If verdict == "UNDECIDED", schedule two additional seeds and re-call.

Rules

• Never evaluate the candidate on the same data it was just trained on.
• Never lower the threshold to pass a borderline case; that defeats the gate.
• Always refresh sigma_noise weekly via a no-op control run (same data, different seed, no mutation).

Output

Direct JSON copy of GateDecision.__dict__:

{
  "verdict": "ACCEPT",
  "splits_improved": 9,
  "mean_delta": 0.0182,
  "sigma_noise": 0.0091,
  "threshold": 0.00455,
  "notes": "9/10 improved, mean_delta=0.0182 > 0.00455"
}