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.

src/cya/orchestrator.py

@@ -32,8 +32,10 @@ from cya.context.collector import collect, render_explanation
 from cya.memory import (
     recall_preferences,
     remember_retrospection_outcome,
+    remember_reflection,
     KIND_RETROSPECTION,
     KIND_INTERACTION_GOAL,
+    KIND_REFLECTION,
 )
 from cya.safety.risk import classify, get_user_confirmation
 from cya.llm.adapter import AssistanceRequest, FakeLLMAdapter
@@ -85,7 +87,11 @@ def handle_request(
             git_info = envelope.git or {}
             if git_info.get("workdir"):
                 act_ctx["git_root"] = git_info["workdir"]
-        memory = recall_preferences(".", activation_context=act_ctx)
+        memory = recall_preferences(
+            ".",
+            activation_context=act_ctx,
+            kinds=[KIND_REFLECTION, KIND_RETROSPECTION, KIND_INTERACTION_GOAL, "preference"],
+        )
     except Exception:
         memory = {"error": "recall failed (graceful degradation)"}
 
@@ -150,6 +156,12 @@ def handle_request(
     mem_line = ""
     if memory.get("items"):
         mem_line = f"\n[dim]Memory activated: {len(memory.get('items', []))} items (phase {memory.get('phase')})[/dim]"
+        # Minimal Profile 1 surface (T05 spike)
+        reflections = [i for i in memory.get("items", []) if i.get("kind") == KIND_REFLECTION]
+        if reflections:
+            refl_text = "; ".join(str(i.get("value", ""))[:60] for i in reflections[:2])
+            mem_line += f"\n[cyan]Verbal reflections activated: {len(reflections)} — {refl_text}[/cyan]"
+
     console.print(
         Panel(
             f"[bold]Suggestion:[/bold]\n{llm_response.suggestion}\n\n"
@@ -251,6 +263,24 @@ def run_retrospection(scope: str = ".", limit: int = 8) -> None:
         )
         console.print("[green]Recorded as safety preference.[/green]")
 
+    # Minimal Profile 1 spike (T05): optional verbal reflection / lesson capture
+    capture_lesson = typer.prompt(
+        "Capture any verbal lessons or reflections from this session? (y/n or short text)",
+        default="n",
+        show_default=False,
+    )
+    if capture_lesson and capture_lesson.lower() not in ("n", "no", "skip", "s", ""):
+        lesson_text = capture_lesson if len(capture_lesson) > 3 else typer.prompt(
+            "What is the key lesson? (1-2 sentences)",
+            default="",
+            show_default=False,
+        )
+        if lesson_text:
+            remember_reflection(
+                "verbal_lesson", lesson_text, scope=scope
+            )
+            console.print("[green]Recorded as verbal reflection (Profile 1).[/green]")
+
     console.print(
         Panel(
             "Thank you. Your reflections have been stored as retrospection memory.\n"