feat(profiler/behave_shell): emit cognitive.inter_command_consistency
BEHAVE-EXTRACTOR.md Phase A Step 8. Dispersion / bimodality of
inter-command pauses. HUMAN-bimodal vs LLM-metronomic.
* _features/cognitive.py:inter_command_consistency(ctx) emits one
Observation in {metronomic, variable, bimodal}.
* CV = stdev / mean of ctx.inter_cmd_iats. CV < 0.40 → metronomic
(LLM-pure; corpus anchor 0.24); CV ≥ 1.50 → bimodal heuristic
(LLM-assisted human; v0.1 placeholder, true bimodal via Hartigan
dip is registry-flagged for v0.2); else → variable (human;
corpus anchor 0.94).
* < 2 IATs or zero mean → skip emission. < 5 commands halves
confidence (0.40 vs 0.75) per sample-size honesty.
Tests: too-few IATs → no emission, uniform → metronomic,
human-like dispersion → variable, extreme bursts+gaps → bimodal,
low-sample-count → reduced confidence.
Step 8 closes the six-primitive calibration floor for Phase A.
Step 9 (calibration grid lockdown) is the gate that pins it.
anti
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