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P4 (Wave 3, docs) — REQ-186, 191, 192, 193, 194, 195, 204, 210, 211, 212, 213 New docs: - docs/METRICS.md — canonical KPI catalog (grounded/derived/deferred) - docs/metrics/*.md — 13 per-KPI definition-of-success docs (D-127) - docs/METRICS_DEFERRED_ROADMAP.md — 8 deferred metrics + hot-path plan + re-eval triggers (REQ-210) - docs/NO_HUMANS_THESIS.md — thesis defensibility brief (REQ-213) New tools: - core/metrics/trust_snapshot.py — 5 trust metrics + chain-integrity verdict + snapshot hash (REQ-211) - scripts/check_north_star_diff.sh — CI check for NORTH_STAR strategic section changes (REQ-204) Modified: - .ciagent/config.json — strategic_direction_file: .ciagent/NORTH_STAR.md (REQ-186) ---ci--- project: acdl phase: 4 milestone: v1.17 status: execute ---/ci---
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Confidence-Gate Halt Rate — Definition of Success
KPI: Confidence-Gate Halt Rate Target: not a committed target (operational signal)
What this number means: how often the confidence gate itself halted a run (band = block), independent of HITL blocks. The gate is the AI's self-halt; HITL is the human gate. This distinguishes the AI's self-regulation from human escalation.
How it's computed: count(runs WHERE confidence_band = 'block') ÷
total runs.
What "good" looks like: a low but non-zero rate means the gate is working (catching genuinely uncertain runs) without being overly conservative (blocking everything).