Fix SEO skill 34 bugs, Korean labels, and transition Ahrefs refs to our-seo-agent (#2)

custom-skills/34-seo-reporting-dashboard/code/scripts/report_aggregator.py

@@ -55,7 +55,7 @@ SKILL_REGISTRY = {
     28: {"name": "knowledge-graph", "category": "entity_seo", "weight": 0.10},
     31: {"name": "competitor-intel", "category": "competitor", "weight": 0.15},
     32: {"name": "crawl-budget", "category": "technical", "weight": 0.10},
-    33: {"name": "page-experience", "category": "performance", "weight": 0.10},
+    33: {"name": "migration-planner", "category": "migration", "weight": 0.10},
 }
 
 CATEGORY_WEIGHTS = {
@@ -69,6 +69,13 @@ CATEGORY_WEIGHTS = {
     "competitor": 0.05,
     "schema": 0.05,
     "kpi": 0.05,
+    "comprehensive": 1.0,
+    "search_console": 0.05,
+    "ecommerce": 0.05,
+    "international": 0.05,
+    "ai_search": 0.05,
+    "entity_seo": 0.05,
+    "migration": 0.05,
 }
 
 
@@ -255,14 +262,15 @@ class ReportAggregator(BaseAsyncClient):
 
         # Extract health score — check top-level first, then nested data dict
         score_found = False
-        for key in ("health_score", "overall_health", "score"):
+        for key in ("health_score", "overall_health", "overall_score", "score",
+                    "technical_score", "efficiency_score", "onpage_score"):
             if key in data:
                 try:
                     skill_output.health_score = float(data[key])
                     score_found = True
+                    break
                 except (ValueError, TypeError):
-                    pass
-                break
+                    continue
 
         if not score_found:
             nested = data.get("data", {})
@@ -276,9 +284,9 @@ class ReportAggregator(BaseAsyncClient):
                     if val is not None:
                         try:
                             skill_output.health_score = float(val)
+                            break
                         except (ValueError, TypeError):
-                            pass
-                        break
+                            continue
 
         # Extract audit date
         for key in ("audit_date", "report_date", "timestamp", "found_date"):