fix(agent): P0.6 guard human corrections

tests/unit/test_policy_grounding_recovery_learning.py

@@ -770,6 +770,63 @@ class TestReplayLearner:
 
         assert captured["window_title"] == "Fenêtre fallback"
 
+    def test_record_human_correction_uses_last_click_contract(self, learner, monkeypatch):
+        """Le contrat agent envoie les coordonnées dans correction.last_click."""
+        captured = {}
+
+        def fake_memory_record_success(**kwargs):
+            captured.update(kwargs)
+            return True
+
+        monkeypatch.setattr(
+            "agent_v0.server_v1.replay_memory.memory_record_success",
+            fake_memory_record_success,
+        )
+
+        learner.record_human_correction(
+            session_id="s_corr_last_click",
+            action={
+                "action_id": "a_corr_last_click",
+                "target_spec": {"by_text": "Enregistrer", "window_title": "Bloc-notes"},
+            },
+            correction={
+                "actions": [{"type": "click", "x_pct": 0.33, "y_pct": 0.66}],
+                "last_click": {"type": "click", "x_pct": 0.33, "y_pct": 0.66},
+            },
+        )
+
+        assert captured["x_pct"] == 0.33
+        assert captured["y_pct"] == 0.66
+        assert len(learner.load_session("s_corr_last_click")) == 1
+
+    def test_record_human_correction_rejects_out_of_bounds_coords(self, learner, monkeypatch):
+        """Une correction hors écran ne doit pas alimenter la mémoire."""
+        captured = {}
+
+        def fake_memory_record_success(**kwargs):
+            captured.update(kwargs)
+            return True
+
+        monkeypatch.setattr(
+            "agent_v0.server_v1.replay_memory.memory_record_success",
+            fake_memory_record_success,
+        )
+
+        learner.record_human_correction(
+            session_id="s_corr_oob",
+            action={
+                "action_id": "a_corr_oob",
+                "target_spec": {"by_text": "Enregistrer", "window_title": "Bloc-notes"},
+            },
+            correction={
+                "actions": [{"type": "click", "x_pct": 1.748, "y_pct": 0.135}],
+                "last_click": {"type": "click", "x_pct": 1.748, "y_pct": 0.135},
+            },
+        )
+
+        assert captured == {}
+        assert learner.load_session("s_corr_oob") == []
+
 
 # =========================================================================
 # Boucle d'apprentissage : consolidation cross-workflow