diff --git a/scripts/harb-evaluator/red-team.sh b/scripts/harb-evaluator/red-team.sh
index c2ed250..34b6658 100755
--- a/scripts/harb-evaluator/red-team.sh
+++ b/scripts/harb-evaluator/red-team.sh
@@ -201,7 +201,7 @@ EOF
     run_num=1
   fi
 
-  python3 - "$stream_file" "$memory_file" "$run_num" "$LM_ETH_BEFORE" "$CANDIDATE_NAME" "$OPTIMIZER_PROFILE" <<'PYEOF'
+  python3 - "$stream_file" "$memory_file" "$run_num" "$LM_ETH_BEFORE" "$CANDIDATE_NAME" "$OPTIMIZER_PROFILE" "$CROSS_PATTERNS_FILE" <<'PYEOF'
 import json, sys, re
 from datetime import datetime, timezone
 
@@ -215,6 +215,7 @@ except (ValueError, IndexError):
     sys.exit(0)
 candidate = sys.argv[5] if len(sys.argv) > 5 else "unknown"
 optimizer_profile = sys.argv[6] if len(sys.argv) > 6 else "unknown"
+cross_file = sys.argv[7] if len(sys.argv) > 7 else None
 
 def make_pattern(strategy_name, steps_text):
     """Extract abstract op sequence preserving execution order."""
@@ -380,6 +381,36 @@ if len(all_entries) > 50:
         if key not in seen:
             seen.add(key)
             deduped.append(e)
+
+    # Export entries that would be dropped to cross-patterns before discarding them
+    if cross_file:
+        kept_keys = {(e.get("run"), e.get("ts"), e.get("strategy")) for e in deduped}
+        dropped = [e for e in all_entries if (e.get("run"), e.get("ts"), e.get("strategy")) not in kept_keys]
+        if dropped:
+            existing_cross_keys = set()
+            try:
+                with open(cross_file) as cf:
+                    for line in cf:
+                        line = line.strip()
+                        if line:
+                            try:
+                                ce = json.loads(line)
+                                existing_cross_keys.add((ce.get("pattern", ""), ce.get("candidate", ""), ce.get("result", "")))
+                            except Exception:
+                                pass
+            except FileNotFoundError:
+                pass
+            exported = 0
+            with open(cross_file, "a") as cf:
+                for e in dropped:
+                    key = (e.get("pattern", ""), e.get("candidate", ""), e.get("result", ""))
+                    if key not in existing_cross_keys:
+                        existing_cross_keys.add(key)
+                        cf.write(json.dumps(e) + "\n")
+                        exported += 1
+            if exported:
+                print(f"  Pre-trim export: {exported} dropped entr{'y' if exported == 1 else 'ies'} saved to cross-patterns")
+
     with open(memory_file, "w") as f:
         for e in deduped:
             f.write(json.dumps(e) + "\n")