G0~G8 성과·동맹 측정 OS 작업 일괄 고정

8월 7일까지 워킹트리에만 남아 있던 미커밋 작업을 커밋한다. 여러 사본
폴더(worktree·clone)에 흩어져 있던 중간 스냅샷을 정리하기 전에 원본을
git 이력으로 고정하는 것이 목적이다.

- contracts/routes/services: measurement, outcome_trajectory, rupture_repair,
  deliberate_practice, calibration_transfer, supervision_research,
  multimodal_alliance, continuous_improvement 계열 신규 모듈과 테스트
- infra/db/init: 07~16 마이그레이션(측정 기반~calibration transfer 실행)
- apps/web: 세션 리뷰 카드·관리 화면·E2E 스펙 추가
- docs/ops: G0~G8 라이브 통합·배포·롤백 증거 문서와 evidence JSON/PNG
- scripts: smoke·ledger·릴리스 에이전트·NAS 프리뷰 운영 스크립트

engine.public 로그 .bak과 apps/web/test-results 산출물은 커밋에서 제외했다.

scripts/smoke-calibration-transfer-ledger.sql

@@ -0,0 +1,421 @@
+\set ON_ERROR_STOP on
+\if :{?app_role}
+\else
+\set app_role vignette
+\endif
+
+BEGIN;
+
+INSERT INTO app.app_user (
+  user_id, external_id, role, cohort, account_status, consent_at
+) VALUES
+  ('51000000-0000-0000-0000-000000000001', 'g5-smoke-learner', 'learner', 'g5-smoke', 'approved', now()),
+  ('51000000-0000-0000-0000-000000000002', 'g5-smoke-teacher', 'instructor', 'g5-smoke', 'approved', now()),
+  ('51000000-0000-0000-0000-000000000003', 'g5-smoke-other', 'learner', 'g5-other', 'approved', now());
+
+INSERT INTO app.sessions (id, learner_id, session_no)
+VALUES ('52000000-0000-0000-0000-000000000001', '51000000-0000-0000-0000-000000000001', 1);
+INSERT INTO app.turns (id, session_id, seq, speaker, text_masked, actor_kind)
+VALUES
+  ('53000000-0000-0000-0000-000000000001', '52000000-0000-0000-0000-000000000001', 1, 'counselor', '[G5 masked evidence 1]', 'human_learner'),
+  ('53000000-0000-0000-0000-000000000002', '52000000-0000-0000-0000-000000000001', 2, 'client', '[G5 masked evidence 2]', 'client_ai');
+
+INSERT INTO app.measurement_instrument (
+  instrument_id, instrument_version, name_ko, instrument_kind,
+  construct, validation_basis, scoring_schema, metadata
+) VALUES
+  (
+    'vignette-g5-calibration', '1.0.0', 'G5 역량별 자기보정',
+    'training_metric', 'self_calibration',
+    '잠긴 자기예측과 독립 관찰의 교육용 역량별 대조.',
+    '{"per_competency":true}'::JSONB,
+    '{"clinical_claim_allowed":false}'::JSONB
+  ),
+  (
+    'vignette-g5-transfer', '1.0.0', 'G5 미지 사례 전이',
+    'training_metric', 'transfer',
+    '교육용 합성 미지 사례의 역량별 전이 관찰.',
+    '{"per_competency":true,"scenario_novelty":"unseen_transfer"}'::JSONB,
+    '{"clinical_claim_allowed":false,"data_classification":"synthetic_educational"}'::JSONB
+  )
+ON CONFLICT (instrument_id, instrument_version) DO NOTHING;
+
+INSERT INTO audit.model_run (
+  model_run_id, session_id, agent_role, provider, model,
+  prompt_bundle_id, prompt_bundle_version, prompt_bundle_hash,
+  structured_schema_version, input_evidence_hash, status
+) VALUES (
+  '54000000-0000-0000-0000-000000000001',
+  '52000000-0000-0000-0000-000000000001',
+  'evaluator', 'smoke', 'g5-deterministic', 'g5-smoke', '1.0.0',
+  repeat('a', 64), 'vignette.calibration-transfer.v1', repeat('b', 64), 'ready'
+);
+
+SET LOCAL ROLE :"app_role";
+SELECT set_config('app.ai_context', '', true);
+SELECT set_config('app.current_ai_view', '', true);
+SELECT set_config('app.current_role', 'learner', true);
+SELECT set_config('app.current_uid', '51000000-0000-0000-0000-000000000001', true);
+SELECT set_config('app.current_cohort', 'g5-smoke', true);
+
+INSERT INTO app.calibration_prediction_history (
+  history_id, session_id, learner_id, competency_id,
+  practice_block_id, scenario_variant_id, phrase_family_id, created_by_role
+) VALUES (
+  '55000000-0000-0000-0000-000000000001',
+  '52000000-0000-0000-0000-000000000001',
+  '51000000-0000-0000-0000-000000000001',
+  'competency.empathic-check', 'oas-g5-block-smoke',
+  'variant-smoke-familiar', 'phrase-smoke-familiar', 'learner'
+);
+
+INSERT INTO app.calibration_prediction_revision (
+  prediction_revision_id, submission_id, content_hash, history_id,
+  session_id, learner_id, revision_no, predicted_success_probability,
+  confidence, recorded_sequence, revision_reason, instrument_id,
+  instrument_version, evidence_turn_ids, created_by_role
+) VALUES (
+  '56000000-0000-0000-0000-000000000001',
+  '56100000-0000-0000-0000-000000000001', repeat('1', 64),
+  '55000000-0000-0000-0000-000000000001',
+  '52000000-0000-0000-0000-000000000001',
+  '51000000-0000-0000-0000-000000000001',
+  1, 0.70, 0.60, 1, '첫 자기예측을 기록했다.',
+  'vignette-g5-calibration', '1.0.0',
+  ARRAY['53000000-0000-0000-0000-000000000001']::UUID[], 'learner'
+);
+INSERT INTO app.calibration_prediction_revision (
+  prediction_revision_id, submission_id, content_hash, history_id,
+  session_id, learner_id, revision_no, supersedes_prediction_revision_id,
+  predicted_success_probability, confidence, recorded_sequence,
+  revision_reason, instrument_id, instrument_version, evidence_turn_ids,
+  created_by_role
+) VALUES (
+  '56000000-0000-0000-0000-000000000002',
+  '56100000-0000-0000-0000-000000000002', repeat('2', 64),
+  '55000000-0000-0000-0000-000000000001',
+  '52000000-0000-0000-0000-000000000001',
+  '51000000-0000-0000-0000-000000000001',
+  2, '56000000-0000-0000-0000-000000000001',
+  0.55, 0.70, 2, '반대 근거를 보고 공개 전에 예측을 낮췄다.',
+  'vignette-g5-calibration', '1.0.0',
+  ARRAY['53000000-0000-0000-0000-000000000001']::UUID[], 'learner'
+);
+INSERT INTO app.calibration_prediction_lock (
+  lock_id, submission_id, content_hash, history_id,
+  prediction_revision_id, session_id, learner_id,
+  locked_sequence, created_by_role
+) VALUES (
+  '57000000-0000-0000-0000-000000000001',
+  '57100000-0000-0000-0000-000000000001', repeat('3', 64),
+  '55000000-0000-0000-0000-000000000001',
+  '56000000-0000-0000-0000-000000000002',
+  '52000000-0000-0000-0000-000000000001',
+  '51000000-0000-0000-0000-000000000001', 2, 'learner'
+);
+
+DO $$ BEGIN
+  BEGIN
+    INSERT INTO app.calibration_prediction_revision (
+      prediction_revision_id, submission_id, content_hash, history_id,
+      session_id, learner_id, revision_no, supersedes_prediction_revision_id,
+      predicted_success_probability, confidence, recorded_sequence,
+      revision_reason, instrument_id, instrument_version, created_by_role
+    ) VALUES (
+      '56000000-0000-0000-0000-000000000003',
+      '56100000-0000-0000-0000-000000000003', repeat('4', 64),
+      '55000000-0000-0000-0000-000000000001',
+      '52000000-0000-0000-0000-000000000001',
+      '51000000-0000-0000-0000-000000000001',
+      3, '56000000-0000-0000-0000-000000000002',
+      0.90, 0.90, 3, '공개 후 오염 시도',
+      'vignette-g5-calibration', '1.0.0', 'learner'
+    );
+    RAISE EXCEPTION 'post-lock prediction revision was accepted';
+  EXCEPTION WHEN object_not_in_prerequisite_state THEN NULL;
+  END;
+END $$;
+
+SELECT set_config('app.ai_context', '1', true);
+SELECT set_config('app.current_ai_view', 'evaluator', true);
+SELECT set_config('app.current_role', 'admin', true);
+
+INSERT INTO app.calibration_performance_observation (
+  observation_id, submission_id, content_hash, history_id,
+  prediction_lock_id, session_id, learner_id, competency_id,
+  practice_block_id, scenario_variant_id, phrase_family_id,
+  status, source_kind, perspective, model_run_id,
+  instrument_id, instrument_version, uncertainty,
+  evidence_turn_ids, counterevidence, revealed_sequence
+) VALUES (
+  '58000000-0000-0000-0000-000000000001',
+  '58100000-0000-0000-0000-000000000001', repeat('5', 64),
+  '55000000-0000-0000-0000-000000000001',
+  '57000000-0000-0000-0000-000000000001',
+  '52000000-0000-0000-0000-000000000001',
+  '51000000-0000-0000-0000-000000000001',
+  'competency.empathic-check', 'oas-g5-block-smoke',
+  'variant-smoke-familiar', 'phrase-smoke-familiar',
+  'passed', 'model_inferred', 'independent_observer',
+  '54000000-0000-0000-0000-000000000001',
+  'vignette-g5-calibration', '1.0.0', 0.20,
+  ARRAY['53000000-0000-0000-0000-000000000002']::UUID[],
+  ARRAY[]::TEXT[], 3
+);
+
+INSERT INTO app.calibration_assessment_snapshot (
+  assessment_snapshot_id, submission_id, content_hash, session_id,
+  learner_id, competency_id, snapshot_no, source_observation_ids,
+  assessment_payload, model_run_id, instrument_id, instrument_version,
+  evidence_turn_ids
+) VALUES (
+  '59000000-0000-0000-0000-000000000001',
+  '59100000-0000-0000-0000-000000000001', repeat('6', 64),
+  '52000000-0000-0000-0000-000000000001',
+  '51000000-0000-0000-0000-000000000001',
+  'competency.empathic-check', 1,
+  ARRAY['58000000-0000-0000-0000-000000000001']::UUID[],
+  '{"competency_id":"competency.empathic-check","pair_count":1,"bias":"insufficient_evidence","improvement":"insufficient_evidence","pairs":[],"excluded_block_ids":[],"counterevidence":["below-minimum"]}'::JSONB,
+  '54000000-0000-0000-0000-000000000001',
+  'vignette-g5-calibration', '1.0.0',
+  ARRAY['53000000-0000-0000-0000-000000000002']::UUID[]
+);
+INSERT INTO app.calibration_metacognitive_prescription (
+  prescription_id, assessment_snapshot_id, session_id, learner_id,
+  competency_id, prescription_payload, model_run_id,
+  instrument_id, instrument_version, evidence_turn_ids
+) VALUES (
+  '5a000000-0000-0000-0000-000000000001',
+  '59000000-0000-0000-0000-000000000001',
+  '52000000-0000-0000-0000-000000000001',
+  '51000000-0000-0000-0000-000000000001',
+  'competency.empathic-check',
+  '{"competency_id":"competency.empathic-check","bias":"insufficient_evidence","practice_mode":"collect_more_evidence","instruction_ko":"같은 역량의 새 장면을 세 번 수행하고 외부평가 전에 예측을 잠근다.","completion_evidence":["three_locked_predictions"]}'::JSONB,
+  '54000000-0000-0000-0000-000000000001',
+  'vignette-g5-calibration', '1.0.0',
+  ARRAY['53000000-0000-0000-0000-000000000002']::UUID[]
+);
+
+INSERT INTO app.calibration_transfer_suite (
+  transfer_suite_record_id, submission_id, content_hash, suite_key,
+  session_id, learner_id, training_phrase_family_ids,
+  model_run_id, instrument_id, instrument_version
+) VALUES (
+  '5b000000-0000-0000-0000-000000000001',
+  '5b100000-0000-0000-0000-000000000001', repeat('7', 64),
+  'oas-g5-suite-smoke', '52000000-0000-0000-0000-000000000001',
+  '51000000-0000-0000-0000-000000000001',
+  ARRAY['phrase-smoke-familiar'],
+  '54000000-0000-0000-0000-000000000001',
+  'vignette-g5-transfer', '1.0.0'
+);
+INSERT INTO app.calibration_transfer_trial (
+  transfer_trial_record_id, transfer_suite_record_id, session_id,
+  learner_id, trial_key, competency_id, scenario_variant_id,
+  context_variant, relationship_style, difficulty_level,
+  expression_variant, synthetic_subgroup, scenario_family_id,
+  phrase_family_id, status, uncertainty, evidence_turn_ids,
+  counterevidence, model_run_id, instrument_id, instrument_version
+) VALUES
+  (
+    '5c000000-0000-0000-0000-000000000001',
+    '5b000000-0000-0000-0000-000000000001',
+    '52000000-0000-0000-0000-000000000001',
+    '51000000-0000-0000-0000-000000000001',
+    'oas-g5-transfer-smoke-a', 'competency.empathic-check',
+    'variant-smoke-unseen-a', 'school', 'withdrawn', 3,
+    'indirect', 'synthetic-a', 'family-unseen-a', 'phrase-adapted-a',
+    'passed', 0.20,
+    ARRAY['53000000-0000-0000-0000-000000000001']::UUID[], ARRAY[]::TEXT[],
+    '54000000-0000-0000-0000-000000000001',
+    'vignette-g5-transfer', '1.0.0'
+  ),
+  (
+    '5c000000-0000-0000-0000-000000000002',
+    '5b000000-0000-0000-0000-000000000001',
+    '52000000-0000-0000-0000-000000000001',
+    '51000000-0000-0000-0000-000000000001',
+    'oas-g5-transfer-smoke-b', 'competency.empathic-check',
+    'variant-smoke-unseen-b', 'home', 'ambivalent', 4,
+    'metaphoric', 'synthetic-b', 'family-unseen-b', 'phrase-adapted-b',
+    'failed', 0.30,
+    ARRAY['53000000-0000-0000-0000-000000000002']::UUID[],
+    ARRAY['client_response_not_engaged'],
+    '54000000-0000-0000-0000-000000000001',
+    'vignette-g5-transfer', '1.0.0'
+  );
+INSERT INTO app.calibration_transfer_assessment (
+  transfer_assessment_id, transfer_suite_record_id, session_id,
+  learner_id, competency_id, source_trial_ids, assessment_payload,
+  evidence_turn_ids, model_run_id, instrument_id, instrument_version
+) VALUES (
+  '5d000000-0000-0000-0000-000000000001',
+  '5b000000-0000-0000-0000-000000000001',
+  '52000000-0000-0000-0000-000000000001',
+  '51000000-0000-0000-0000-000000000001',
+  'competency.empathic-check',
+  ARRAY['5c000000-0000-0000-0000-000000000001','5c000000-0000-0000-0000-000000000002']::UUID[],
+  '{"competency_id":"competency.empathic-check","trial_count":2,"observed_trial_count":2,"success_rate":0.5,"coverage":{"contexts":2},"eligible":false,"transfer_verified":false,"blockers":["below-minimum"],"evidence_refs":[],"counterevidence":["client_response_not_engaged"]}'::JSONB,
+  ARRAY['53000000-0000-0000-0000-000000000001','53000000-0000-0000-0000-000000000002']::UUID[],
+  '54000000-0000-0000-0000-000000000001',
+  'vignette-g5-transfer', '1.0.0'
+);
+INSERT INTO app.calibration_subgroup_drift_report (
+  drift_report_id, transfer_suite_record_id, session_id, learner_id,
+  competency_id, source_trial_ids, report_payload, model_run_id,
+  instrument_id, instrument_version
+) VALUES (
+  '5e000000-0000-0000-0000-000000000001',
+  '5b000000-0000-0000-0000-000000000001',
+  '52000000-0000-0000-0000-000000000001',
+  '51000000-0000-0000-0000-000000000001',
+  'competency.empathic-check',
+  ARRAY['5c000000-0000-0000-0000-000000000001','5c000000-0000-0000-0000-000000000002']::UUID[],
+  '{"competency_id":"competency.empathic-check","status":"insufficient_evidence","compared_subgroups":[],"subgroup_results":[],"threshold":0.2,"notice_ko":"교육용 합성 subgroup 관측이 부족해 드리프트를 판정하지 않는다."}'::JSONB,
+  '54000000-0000-0000-0000-000000000001',
+  'vignette-g5-transfer', '1.0.0'
+);
+
+-- Learner-self, unrelated learner, teacher cohort and cross-cohort isolation.
+SELECT set_config('app.ai_context', '', true);
+SELECT set_config('app.current_ai_view', '', true);
+SELECT set_config('app.current_role', 'learner', true);
+SELECT set_config('app.current_uid', '51000000-0000-0000-0000-000000000001', true);
+DO $$ BEGIN
+  IF (SELECT count(*) FROM app.calibration_prediction_history) <> 1 THEN
+    RAISE EXCEPTION 'learner self G5 RLS smoke failed';
+  END IF;
+END $$;
+SELECT set_config('app.current_uid', '51000000-0000-0000-0000-000000000003', true);
+DO $$ BEGIN
+  IF (SELECT count(*) FROM app.calibration_prediction_history) <> 0 THEN
+    RAISE EXCEPTION 'unrelated learner G5 RLS leaked data';
+  END IF;
+END $$;
+SELECT set_config('app.current_role', 'instructor', true);
+SELECT set_config('app.current_uid', '51000000-0000-0000-0000-000000000002', true);
+SELECT set_config('app.current_cohort', 'g5-smoke', true);
+DO $$ BEGIN
+  IF (SELECT count(*) FROM app.calibration_transfer_suite) <> 1 THEN
+    RAISE EXCEPTION 'teacher cohort G5 RLS smoke failed';
+  END IF;
+END $$;
+SELECT set_config('app.current_cohort', 'g5-other', true);
+DO $$ BEGIN
+  IF (SELECT count(*) FROM app.calibration_transfer_suite) <> 0 THEN
+    RAISE EXCEPTION 'teacher cross-cohort G5 RLS leaked data';
+  END IF;
+END $$;
+
+SELECT set_config('app.current_cohort', 'g5-smoke', true);
+INSERT INTO app.calibration_teacher_review_event (
+  review_id, submission_id, content_hash, target_kind, target_id,
+  session_id, learner_id, review_no, disposition, correction_payload,
+  review_reason, evidence_turn_ids, counterevidence,
+  created_by_uid, created_by_role
+) VALUES (
+  '5f000000-0000-0000-0000-000000000001',
+  '5f100000-0000-0000-0000-000000000001', repeat('8', 64),
+  'calibration_assessment', '59000000-0000-0000-0000-000000000001',
+  '52000000-0000-0000-0000-000000000001',
+  '51000000-0000-0000-0000-000000000001',
+  1, 'confirmed', '{}'::JSONB, '역량별 근거와 불확실성을 확인했다.',
+  ARRAY['53000000-0000-0000-0000-000000000002']::UUID[], ARRAY[]::TEXT[],
+  '51000000-0000-0000-0000-000000000002', 'instructor'
+);
+
+DO $$ BEGIN
+  BEGIN
+    INSERT INTO app.calibration_teacher_review_event (
+      review_id, submission_id, content_hash, target_kind, target_id,
+      session_id, learner_id, review_no, supersedes_review_id,
+      disposition, correction_payload, review_reason,
+      created_by_uid, created_by_role
+    ) VALUES (
+      '5f000000-0000-0000-0000-000000000002',
+      '5f100000-0000-0000-0000-000000000002', repeat('9', 64),
+      'calibration_assessment', '59000000-0000-0000-0000-000000000001',
+      '52000000-0000-0000-0000-000000000001',
+      '51000000-0000-0000-0000-000000000001',
+      2, '5f000000-0000-0000-0000-000000000001',
+      'corrected', '{"raw_transcript":"forbidden"}'::JSONB,
+      '금지된 본문 복제 시도',
+      '51000000-0000-0000-0000-000000000002', 'instructor'
+    );
+    RAISE EXCEPTION 'raw transcript payload was accepted';
+  EXCEPTION WHEN check_violation THEN NULL;
+  END;
+  BEGIN
+    INSERT INTO app.calibration_teacher_review_event (
+      review_id, submission_id, content_hash, target_kind, target_id,
+      session_id, learner_id, review_no, supersedes_review_id,
+      disposition, correction_payload, review_reason,
+      created_by_uid, created_by_role
+    ) VALUES (
+      '5f000000-0000-0000-0000-000000000003',
+      '5f100000-0000-0000-0000-000000000003', repeat('a', 64),
+      'calibration_assessment', '59000000-0000-0000-0000-000000000001',
+      '52000000-0000-0000-0000-000000000001',
+      '51000000-0000-0000-0000-000000000001',
+      2, '5f000000-0000-0000-0000-000000000001',
+      'corrected', '{"total_score":0.9}'::JSONB,
+      '금지된 합산 점수 시도',
+      '51000000-0000-0000-0000-000000000002', 'instructor'
+    );
+    RAISE EXCEPTION 'aggregate score payload was accepted';
+  EXCEPTION WHEN check_violation THEN NULL;
+  END;
+END $$;
+
+RESET ROLE;
+
+DO $$ BEGIN
+  BEGIN
+    UPDATE app.calibration_prediction_revision
+    SET predicted_success_probability = 1.0
+    WHERE prediction_revision_id = '56000000-0000-0000-0000-000000000001';
+    RAISE EXCEPTION 'append-only calibration revision update was accepted';
+  EXCEPTION WHEN object_not_in_prerequisite_state THEN NULL;
+  END;
+  BEGIN
+    INSERT INTO app.calibration_performance_observation (
+      observation_id, submission_id, content_hash, history_id,
+      prediction_lock_id, session_id, learner_id, competency_id,
+      practice_block_id, scenario_variant_id, phrase_family_id,
+      status, source_kind, perspective, model_run_id,
+      instrument_id, instrument_version, uncertainty,
+      evidence_turn_ids, revealed_sequence
+    ) VALUES (
+      '58000000-0000-0000-0000-000000000009',
+      '58100000-0000-0000-0000-000000000001', repeat('f', 64),
+      '55000000-0000-0000-0000-000000000001',
+      '57000000-0000-0000-0000-000000000001',
+      '52000000-0000-0000-0000-000000000001',
+      '51000000-0000-0000-0000-000000000001',
+      'competency.empathic-check', 'oas-g5-block-smoke',
+      'variant-smoke-familiar', 'phrase-smoke-familiar',
+      'passed', 'model_inferred', 'independent_observer',
+      '54000000-0000-0000-0000-000000000001',
+      'vignette-g5-calibration', '1.0.0', 0.2,
+      ARRAY['53000000-0000-0000-0000-000000000002']::UUID[], 4
+    );
+    RAISE EXCEPTION 'changed idempotent observation was accepted';
+  EXCEPTION WHEN unique_violation THEN NULL;
+  END;
+END $$;
+
+ROLLBACK;
+
+SELECT 'g5_calibration_transfer_rollback_residue' AS check_name,
+  (
+    (SELECT count(*) FROM app.calibration_prediction_history
+      WHERE history_id = '55000000-0000-0000-0000-000000000001')
+    + (SELECT count(*) FROM app.calibration_performance_observation
+      WHERE observation_id = '58000000-0000-0000-0000-000000000001')
+    + (SELECT count(*) FROM app.calibration_transfer_suite
+      WHERE transfer_suite_record_id = '5b000000-0000-0000-0000-000000000001')
+    + (SELECT count(*) FROM app.calibration_teacher_review_event
+      WHERE review_id = '5f000000-0000-0000-0000-000000000001')
+    + (SELECT count(*) FROM app.app_user
+      WHERE user_id = '51000000-0000-0000-0000-000000000001')
+  ) AS residue_count;