feat: DATA_GATED 진척도 추적 + 팩터 shadow 자격 평가 + routing_gate 실측 보정

- tools/build_data_gated_progress_v1.py: WBS-2.5/4.1~4.3/RELEASE_GATE_TRUTH 실측 진척도
  (sector_flow 21/30일, T+20 0/30건, honest_proof 45.1/70.0)
- tools/build_factor_shadow_eligibility_v1.py: 149개 팩터 shadow 자격 평가
  (eligible=24, partial=37, blocked=38)
- spec/41: DAG step_count 63→67, 신규 4노드 추가
  (build_data_gated_progress, build_factor_shadow_eligibility,
   build_strategy_routing_audit, build_horizon_rebalance_plan)
- spec/30: routing_gate 실측 보정 — SHORT 71.4%는 오류,
  실제 원인은 MID 75.0% > 50% 상한 (2026-06-14 실측)
- spec/13: DATA_GATED_PROGRESS_V1, FACTOR_SHADOW_ELIGIBILITY_V1,
  STRATEGY_ROUTING_AUDIT_V1 formula 등록

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

spec/13_formula_registry.yaml

@@ -88,10 +88,13 @@ formula_registry:
       - ALGORITHM_GUIDANCE_PROOF_V1
       - CANONICAL_ARTIFACT_RESOLVER_V1
       - COMPLETION_GAP_V1
+      - DATA_GATED_PROGRESS_V1
+      - FACTOR_SHADOW_ELIGIBILITY_V1
       - FINAL_EXECUTION_DECISION_V2
       - FORMULA_REGISTRY_SYNC_V1
       - HORIZON_REBALANCE_PLAN_V1
       - PIPELINE_RUNTIME_PROFILE_V1
+      - STRATEGY_ROUTING_AUDIT_V1
       implementation_map:
         REGIME_CONDITIONAL_MACRO_FACTOR_V1: tools/build_predictive_alpha_dialectic_engine_v2.py:NF1
         REBOUND_CAPTURE_THESIS_FACTOR_V1: tools/build_predictive_alpha_dialectic_engine_v2.py:NF2
@@ -107,10 +110,13 @@ formula_registry:
         ALGORITHM_GUIDANCE_PROOF_V1: tools/build_algorithm_guidance_proof_v1.py
         CANONICAL_ARTIFACT_RESOLVER_V1: tools/validate_canonical_artifact_resolver_v1.py
         COMPLETION_GAP_V1: tools/build_completion_gap_v1.py
+        DATA_GATED_PROGRESS_V1: tools/build_data_gated_progress_v1.py
+        FACTOR_SHADOW_ELIGIBILITY_V1: tools/build_factor_shadow_eligibility_v1.py
         FINAL_EXECUTION_DECISION_V2: tools/build_final_execution_decision_v2.py
         FORMULA_REGISTRY_SYNC_V1: tools/build_formula_registry_sync_v1.py
         HORIZON_REBALANCE_PLAN_V1: tools/build_horizon_rebalance_plan_v1.py
         PIPELINE_RUNTIME_PROFILE_V1: src/quant_engine/pipeline_runtime_anomaly_lib_v1.py
+        STRATEGY_ROUTING_AUDIT_V1: tools/build_strategy_routing_audit_v1.py
   formulas:
     FLOW_CREDIT_V1:
       purpose: 가격·거래량·5D 수급 품질을 0~1 점수로 계산