self-study-agent: self-driving loop, no memory format details, auto_repeat config

- Replace static pipeline diagram with self-driving loop (check memory → decide → execute → repeat)
- Remove detailed memory structure JSON schemas from all files
- Remove honcho-specific storage strategy from skill (storage is caller's responsibility)
- Add auto_repeat section to config.yaml (enabled, max_sessions_per_chat, stop_conditions)
- Add rule 8 (auto-repeat) and rule 9 (termination conditions) to execution rules
- Add session transition logic to adaptation.md (due cards → review, incomplete → study)

skills/self-study-agent/feedback/self-testing.md

@@ -122,33 +122,7 @@
 
 ## Step 4: 메모리 업데이트
 
-### 정답 시
-
-```json
-{
-  "concept_id": "concept_001",
-  "confidence": 0.85,
-  "last_reviewed": "timestamp",
-  "next_review": "FSRS 알고리즘으로 계산",
-  "correct_count": 5,
-  "total_count": 6
-}
-```
-
-### 오답 시
-
-```json
-{
-  "concept_id": "concept_001",
-  "confidence": 0.4,
-  "last_reviewed": "timestamp",
-  "next_review": "1일 후 (간격 초기화)",
-  "correct_count": 2,
-  "total_count": 6,
-  "weak_points": ["관련 개념1", "관련 개념2"],
-  "review_notes": "추가 학습 필요"
-}
-```
+정답 시에는 해당 개념의 신뢰도를 높이고 간격을 늘립니다. 오답 시에는 신뢰도를 낮추고 간격을 초기화하며 약점을 기록합니다. 결과를 메모리에 저장합니다.
 
 ## Step 5: 적응