Create Anomaly_score.py

Anomaly_score.py

@@ -0,0 +1,36 @@
+# anomaly_score.py
+
+import datetime
+
+class AnomalyScorer:
+    def __init__(self):
+        self.history = []
+
+    def score_event(self, event_type: str, data: dict) -> dict:
+        base_score = {
+            "unauthorized_access": 80,
+            "unexpected_output": 50,
+            "module_instability": 60,
+            "unknown_connection": 90,
+            "philosophical_dissonance": 40,
+        }.get(event_type, 10)
+
+        # Increase score if suspicious data is present
+        if data.get("confidence") and data["confidence"] < 0.4:
+            base_score += 20
+
+        if "kill" in data.get("content", "").lower():
+            base_score += 50
+
+        result = {
+            "timestamp": datetime.datetime.utcnow().isoformat(),
+            "event": event_type,
+            "score": min(base_score, 100),
+            "notes": f"Scored anomaly: {event_type}"
+        }
+
+        self.history.append(result)
+        return result
+
+    def get_history(self):
+        return self.history