Add honest Torch validation gate

tools/accept_torch_candidate.py

@@ -64,6 +64,8 @@ def _decision(
     candidate_replay = candidate.get("full_replay") if isinstance(candidate.get("full_replay"), dict) else {}
     candidate_walk = candidate.get("walk_forward") if isinstance(candidate.get("walk_forward"), dict) else {}
     walk_summary = candidate_walk.get("summary") if isinstance(candidate_walk.get("summary"), dict) else {}
+    if not _validation_passed(candidate):
+        return {"accepted": False, "reason": "candidate_failed_honest_validation"}
     if int(candidate_replay.get("trades", 0) or 0) < min_trades:
         return {"accepted": False, "reason": "candidate_has_too_few_full_replay_trades"}
     if float(candidate_replay.get("profit_factor", 0.0) or 0.0) < min_profit_factor:
@@ -77,6 +79,15 @@ def _decision(
     return {"accepted": True, "reason": "candidate_passed_guard"}
 
 
+def _validation_passed(report: dict[str, Any]) -> bool:
+    validation = report.get("validation")
+    if not isinstance(validation, dict):
+        return False
+    if "passed" in validation:
+        return bool(validation.get("passed"))
+    return str(validation.get("status", "")).strip().lower() in {"pass", "passed", "ok"}
+
+
 def _score(report: dict[str, Any]) -> float:
     replay = report.get("full_replay") if isinstance(report.get("full_replay"), dict) else {}
     recommended = report.get("recommended") if isinstance(report.get("recommended"), dict) else {}
@@ -97,6 +108,10 @@ def _summary(report: dict[str, Any]) -> dict[str, Any]:
         "walk_forward_summary": (report.get("walk_forward") or {}).get("summary", {})
         if isinstance(report.get("walk_forward"), dict)
         else {},
+        "benchmark_summary": (report.get("benchmark") or {}).get("summary", {})
+        if isinstance(report.get("benchmark"), dict)
+        else {},
+        "validation": report.get("validation", {}),
     }