tegwick
9daea96c43
Classify evidence as load-bearing or attributive, draft the emission-cadence declaration for Taxonomy, treat silence as a stream finding, keep completeness separate from record richness, forbid immune memory as a state plane, and make containment proposals reconstructable to their origin. Observe real qonto-assistant audit events; deny-class completeness stays unknown until the source publishes a heartbeat. Assistant: grok Assistant-Session: 01a05ef1-9e5a-70f2-b0ff-0b05d6b38ae9
30 lines
1.3 KiB
Python
30 lines
1.3 KiB
Python
from kings_guard.posture import PostureEvaluator
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from helpers import load_pilot, observation_from_fixture
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def test_qonto_pilot_produces_inflamed_posture_with_tolerance_context() -> None:
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fixture = load_pilot()
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observation = observation_from_fixture(fixture)
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evaluation = PostureEvaluator().evaluate(fixture.genome, observation)
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assert evaluation.assessment.posture.value == "inflamed"
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assert "credential_exfil_probe" in evaluation.assessment.findings
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assert "tolerated:self-asserted-actor-claims" in evaluation.assessment.tolerated_findings
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assert evaluation.assessment.risk_score >= 80
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def test_qonto_pilot_emits_advisory_only_effector_requests() -> None:
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fixture = load_pilot()
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observation = observation_from_fixture(fixture)
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evaluation = PostureEvaluator().evaluate(fixture.genome, observation)
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signal = evaluation.signals[0]
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assert signal.target_system == "qonto-assistant"
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assert signal.signal_kind.value == "posture_hint"
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assert signal.effector_requests[0].authority_boundary == "advisory_only"
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assert signal.effector_requests[0].action == "lock_actor_temporarily"
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assert signal.effector_requests[1].target_system == "state-hub"
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assert signal.effector_requests[1].authority_boundary == "metadata_only"
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