CYA-WP-0005 T05 done (ralph iter 5): Minimal Profile 1 (Reflexion verbal) spike

- Added KIND_REFLECTION + remember_reflection() helper in memory (thin, exported).
- Wired into run_retrospection(): optional 'capture verbal lesson' step at end.
- Main recall now includes reflections for preferential activation.
- Final LLM response + explain surface verbal reflections when activated.
- Added roundtrip test + import updates.
- Small README note.
- All changes small/inspectable, safety preserved (still through RiskClassifier).
- T05 acceptance criteria met with working end-to-end spike.

Committed as ralph iter 5. Ready for T06+ or close.

tests/test_memory.py

@@ -21,8 +21,10 @@ from cya.memory import (
     forget,
     export_memory,
     remember_retrospection_outcome,
+    remember_reflection,
     KIND_RETROSPECTION,
     KIND_INTERACTION_GOAL,
+    KIND_REFLECTION,
 )
 from cya.safety.risk import classify, RiskLevel
 
@@ -167,6 +169,23 @@ def test_recall_with_kinds_and_activation_context(isolated_memory):
     assert KIND_INTERACTION_GOAL in kinds or "retrospection" in kinds
 
 
+def test_profile_1_reflection_helper_and_activation(isolated_memory):
+    """Minimal T05 Profile 1 spike: remember_reflection + preferential recall by kind."""
+    remember_reflection("lesson_rust", "Always run cargo clippy before suggesting fixes", scope="proj-rust")
+
+    data = recall_preferences(
+        scope="proj-rust",
+        kinds=[KIND_REFLECTION],
+        activation_context={"cwd": "proj-rust"},
+    )
+
+    assert len(data.get("items", [])) >= 1
+    kinds = [i.get("kind") for i in data.get("items", [])]
+    assert KIND_REFLECTION in kinds
+    # The helper stored it correctly
+    assert any("cargo clippy" in str(i.get("value", "")) for i in data.get("items", []))
+
+
 # ---------------------------------------------------------------------------
 # CYA-WP-0005 T02 — Explicit Profile 0 baseline assertions
 # ---------------------------------------------------------------------------