feat: CIO 매도 결정안 + 결정안 성과추적 + 대시보드 표시

- score-engine: run_cio_decisions에 보유종목(user_portfolio) 매도 결정안(등급악화/손절)
  추가, 모든 결정안에 entry_price 기록. verify_decisions_job(매일18:10)이 7일 실측
  수익·알파·정답여부 채점 → /decisions/accuracy (자동실행 게이트, "회사 결정이 실제 맞았나").
- dashboard-api: /api/data-health·accuracy·hot-validate·decisions·decisions-accuracy 프록시.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

dashboard-api/main.py

@@ -2084,6 +2084,33 @@ async def proxy_sector_concentration():
     return await _proxy_get(f"{SCORE_ENGINE_URL}/sector/concentration")
 
 
+# ── AI 투자조직 패널 (데이터건강·정확도·핫검증·결정안) ──────────────
+@app.get("/api/data-health")
+async def proxy_data_health():
+    """데이터 무결성 (score-engine /data-health)"""
+    return await _proxy_get(f"{SCORE_ENGINE_URL}/data-health")
+
+@app.get("/api/accuracy")
+async def proxy_accuracy(days: int = Query(default=90, ge=7, le=365)):
+    """추천 등급별 정확도 (score-engine /accuracy)"""
+    return await _proxy_get(f"{SCORE_ENGINE_URL}/accuracy?days={days}")
+
+@app.get("/api/hot-validate")
+async def proxy_hot_validate():
+    """핫종목 검증 (score-engine /hot/validate)"""
+    return await _proxy_get(f"{SCORE_ENGINE_URL}/hot/validate", timeout=20.0)
+
+@app.get("/api/decisions")
+async def proxy_decisions():
+    """오늘의 결정안 (score-engine /decisions)"""
+    return await _proxy_get(f"{SCORE_ENGINE_URL}/decisions")
+
+@app.get("/api/decisions-accuracy")
+async def proxy_decisions_accuracy(days: int = Query(default=60, ge=7, le=365)):
+    """결정안 실측 성과 (score-engine /decisions/accuracy)"""
+    return await _proxy_get(f"{SCORE_ENGINE_URL}/decisions/accuracy?days={days}")
+
+
 async def _enrich_kr_names(rows):
     """rows의 kr_code/stock_code에 dart_corps.corp_name을 kr_name으로 첨부"""
     if not isinstance(rows, list) or not rows: