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Make the >=90% recall / <10% FP detection gate a first-class, score-independent CI step with non-regression guards. - openultrasast.gate: canonical corpus map + DetectionMetrics/DetectionGateVerdict, evaluate_corpus/detection_gate (no score input — cannot be unblocked by score), merge_gate (ANDs the hard detection gate with the advisory-first score gate), within_tolerance, and a `python -m openultrasast.gate` entrypoint that exits non-zero on a breach. Wired as an explicit step in both the GitHub and Dagger pipelines. - 8.1: pipeline tests prove a high/passing score cannot unblock a recall-breaching change; the gate fails below 90% recall or at/above 10% FP. - 8.2: tests/golden/detection_baseline.json + a byte-identical baseline test for the default ruleset / empty ledger (44/47 = 93.62% recall, 0% FP). - 8.3: within_tolerance band logic + a capability-gated HarnessX tolerance test. - 8.4: zero-dependency guard — governance/scoring/benchmark planes never import HarnessX (sys.modules check + module-scope import scan). - test_detection_benchmarks now sources the corpus/aggregation from the gate module. 128 passed, 3 skipped; ruff + mypy clean; detection gate PASS. Co-Authored-By: Claude Opus 4.8 <[email protected]>