fix(learning): honest 3-channel curator card + capture curator findings (source='curator')

תיקוני-מבנה ללולאת-הלמידה (TaskMaster #157):

1. כרטיס ה-curator (/training טאב "אוצֵר") ספר decision_lessons WHERE source='curator'
   — ערך שאף מסלול-קוד לא כתב → תמיד 0. עוצב-מחדש (דרך שער-העיצוב Claude Design, אושר)
   להציג ביושר את שלושת ערוצי-ההזנה לכותב: דיסטילציה→appeal_type_rules (180, זורם),
   פאנל→decision_lessons (81, ממתין), אוצֵר→source='curator'. get_curator_stats שוכתב.

2. drift ספ↔סוכן: 07-learning.md §1.1 + INV-LRN3 קבעו שהאוצֵר רושם ממצאים כ-decision_lesson
   source='curator', אך הסוכן כתב comments בלבד — הממצאים האיכותיים אבדו. נוסף כלי-MCP
   record_curator_findings + §A.5b ב-hermes-curator.md (read-only נשמר; הצעה מגודרת-שער).

3. get_recent_decision_lessons(limit=15) חתך בשקט — נוסף WARN על מה שנחתך (חוקה §6);
   הפתרון האמיתי = סינתזת-לקחים (TaskMaster #158).

Invariants: מקיים INV-LRN1/G10 (שער-יו"ר), INV-LRN3 (לכידה מובנית), INV-IA2/IA5 (מקור-אמת
יחיד), G12 (leak-guard עובר), G2 (אין מסלול מקביל — אותם מאגרים). פער-מימוש פתוח מתועד:
§A לא רץ אוטומטית על mark-final (pipeline-wake exits) → נדחה לתכנון נפרד.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

mcp-server/src/legal_mcp/services/db.py

@@ -2651,6 +2651,22 @@ async def add_decision_lesson(
     return dict(row) if row else {}
 
 
+async def get_style_corpus_id_by_decision(decision_number: str) -> UUID | None:
+    """Resolve the style_corpus row id for a final decision by its number.
+
+    The curator knows the case_number; lessons attach to the corpus row the
+    learning pipeline enrolled (enroll_style_corpus). Returns None if the final
+    has not been enrolled yet (caller surfaces it — no silent attach).
+    """
+    pool = await get_pool()
+    async with pool.acquire() as conn:
+        row = await conn.fetchrow(
+            "SELECT id FROM style_corpus WHERE decision_number = $1 LIMIT 1",
+            decision_number,
+        )
+    return row["id"] if row else None
+
+
 async def update_decision_lesson(
     lesson_id: UUID,
     *,
@@ -2866,6 +2882,12 @@ async def get_recent_decision_lessons(limit: int = 15, practice_area: str = "")
     Gate (INV-LRN1/G10): returns only CHAIR-APPROVED lessons (review_status='approved').
     Panel-written proposals stay out of the writer's context until the chair approves
     them in /training — the chair's review is the gate, not the panel's 2/2 vote.
+
+    No silent cap (חוקה §6): when more approved lessons match than `limit`, the
+    overflow is dropped by ORDER BY created_at DESC — log it so coverage loss is
+    observable, not invisible. The real fix is lesson synthesis (TaskMaster #158):
+    consolidate overlapping lessons into fewer, richer ones so the set fits without
+    truncation. Until then this WARN is the audit trail.
     """
     pool = await get_pool()
     async with pool.acquire() as conn:
@@ -2880,6 +2902,20 @@ async def get_recent_decision_lessons(limit: int = 15, practice_area: str = "")
                LIMIT $1""",
             limit, practice_area,
         )
+        if len(rows) >= limit:
+            total = await conn.fetchval(
+                """SELECT count(*) FROM decision_lessons dl
+                   JOIN style_corpus sc ON sc.id = dl.style_corpus_id
+                   WHERE dl.review_status = 'approved'
+                     AND ($1 = '' OR sc.practice_area = $1)""",
+                practice_area,
+            ) or 0
+            if total > limit:
+                logger.warning(
+                    "get_recent_decision_lessons: capped %d→%d approved lessons "
+                    "(practice_area=%r) — %d not reaching the writer. See TaskMaster #158 (synthesis).",
+                    total, limit, practice_area or "*", total - limit,
+                )
     return [dict(r) for r in rows]