diff --git a/k8s/openclaw/openclaw-instance.secret.yaml b/k8s/openclaw/openclaw-instance.secret.yaml
index 507d16f..aa17185 100644
Binary files a/k8s/openclaw/openclaw-instance.secret.yaml and b/k8s/openclaw/openclaw-instance.secret.yaml differ
diff --git a/k8s/openclaw/scripts/openclaw-triage.py b/k8s/openclaw/scripts/openclaw-triage.py
index 253b007..3c993d2 100644
--- a/k8s/openclaw/scripts/openclaw-triage.py
+++ b/k8s/openclaw/scripts/openclaw-triage.py
@@ -22,6 +22,8 @@ TOPIC_TO_AGENT = {
     "118": "doktor",
     "119": "itguy",
     "164": "grabengasse_media",
+    "2796": "mila_tracker",
+    "2797": "nutrition_tracker",
 }
 
 def parse_args():
@@ -90,6 +92,22 @@ def triage_agent_session(agent, topic_id=None, limit=10, db_root="/home/node/.op
     elif status == "processing":
         badges.append("⚡ [ACTIVE_PROCESSING]")
 
+    # Check ingress queue status
+    state_db = "/home/node/.openclaw/state/openclaw.sqlite"
+    if topic_id and os.path.exists(state_db):
+        try:
+            s_con = sqlite3.connect(state_db, timeout=2.0)
+            lane_pat = f"%topic:{topic_id}%"
+            pending_cnt = s_con.execute(
+                "SELECT count(*) FROM channel_ingress_events WHERE lane_key LIKE ? AND status IN ('pending', 'claimed')",
+                (lane_pat,)
+            ).fetchone()[0]
+            s_con.close()
+            if pending_cnt > 0:
+                badges.append(f"📬 [INGRESS_STALLED: {pending_cnt} message(s) pending]")
+        except Exception:
+            pass
+
     print("=" * 72)
     print(f"🎯 AGENT: {agent.upper():<12} | TOPIC: {topic_id or 'N/A':<6} | STATUS: {status.upper()}")
     print(f"   SESSION KEY: {skey}")
diff --git a/k8s/openclaw/setup-compaction-cron.sh b/k8s/openclaw/setup-compaction-cron.sh
index 5e63ba6..7c57792 100755
--- a/k8s/openclaw/setup-compaction-cron.sh
+++ b/k8s/openclaw/setup-compaction-cron.sh
@@ -51,12 +51,14 @@ THRESHOLD_EVENT_COUNT = 30
 CRON_MAX_AGE_HOURS = 48
 RPC_TIMEOUT_MS = 180000
 
-# Tier A: High-frequency interaction topics (koch, hebamme, shopping).
+# Tier A: High-frequency interaction and tracking topics (koch, hebamme, shopping, mila_tracker, nutrition_tracker).
 # Deep-compaction keeps a compact summary + latest 2 turns without completely wiping conversational memory.
 TIER_A_TARGETS = [
     ("koch", "agent:koch:telegram:group:-1004326921510:topic:21"),
     ("hebamme", "agent:hebamme:telegram:group:-1004326921510:topic:22"),
     ("shopping", "agent:shopping:telegram:group:-1004326921510:topic:115"),
+    ("mila_tracker", "agent:mila_tracker:telegram:group:-1004326921510:topic:2796"),
+    ("nutrition_tracker", "agent:nutrition_tracker:telegram:group:-1004326921510:topic:2797"),
 ]
 
 def prewarm_page_cache():