Add met_count and recall_limited_obligations to shadow telemetry

Reichert die Obligation-Shadow-Telemetrie um zwei Felder an für die Cross-Firmen-
Auswertung: met_count (abgedeckte Obligations) + recall_limited_obligations (welche
Obligations recall-limitiert sind) — erlaubt die Konzentrations-Analyse über Firmen.

7-Firmen-Shadow: 136 Control-Findings → 29 Obligation-Findings (4,7×); recall_limited
nur 6/29, konzentriert auf third_country/safeguards in 2/7 Firmen → LLM-Fix bounded.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

backend-compliance/compliance/services/specialist_agents/dse/_obligation_shadow.py

@@ -56,7 +56,7 @@ def compute_obligation_shadow(results: list[dict], text: str,
     """Reiner Shadow-Vergleich (keine DB, keine Seiteneffekte). `markers`:
     {control_id: {obl:[...], cond:str|None}}. `met` = Legacy-`passed`."""
     from compliance.services.obligation_aggregation import (
-        FAILED, LM, NA, PARTIAL, CriterionEval, aggregate_obligations,
+        FAILED, LM, MET, NA, PARTIAL, CriterionEval, aggregate_obligations,
     )
     from compliance.services.obligation_applicability import applicable
     from compliance.services.obligation_taxonomy import requires_llm
@@ -101,16 +101,22 @@ def compute_obligation_shadow(results: list[dict], text: str,
                         "recall_limited": bool(requires_llm(o.obligation_id)
                                                and o.status in (FAILED, PARTIAL))})
     top.sort(key=lambda x: -x["fehlt"])
+    met_count = sum(1 for o in obls if o.status == MET)
+    recall_limited_obls = sorted({o.obligation_id for o in obls
+                                  if o.status in (FAILED, PARTIAL)
+                                  and requires_llm(o.obligation_id)})
     return {
         "legacy_control_findings": legacy,
         "obligation_shadow_results": len(obls),
         "obligation_findings": findings,
         "failed_by_current_checker": failed_current,
         "recall_limited": recall_limited,
+        "met_count": met_count,
         "collapse_factor": round(legacy / findings, 2) if findings else None,
         "na_count": na,
         "met_failed_delta": legacy - findings,
         "top_collapsed_obligations": top[:10],
+        "recall_limited_obligations": recall_limited_obls,
     }