chore(privacy): scrub real-org references from plugin internals (phase 2)

Same bulk replacement applied to plugin-internal KB, examples, fixtures,
tests, and docs. Real organization names, persona names, internal system
identifiers, and domain-specific terms replaced with fictional generic
public-sector entity (DDT) and generic terminology.

Scope:
- okr/ — examples, governance, framework, integrations, sources
- ms-ai-architect/ — KB references (engineering, governance, security,
  infrastructure, advisor), tests/fixtures, agents, docs
- linkedin-thought-leadership/ — voice samples, network-builder,
  examples (genericized identifying headlines to "[your organization]")
- llm-security/ — research notes, scan report

Manual genericization beyond bulk replace:
- okr SKILL.md "Primary user / Domain" — generic Norwegian public sector
- linkedin-voice SKILL.md headline placeholder
- network-builder.md headline placeholder
- high-engagement-posts.md voice sample employer line + hashtag

Phase 3 (factual-attribution review) remains: a few KB files attribute
publicly known transport-sector docs/datasets (e.g. håndbok V440, NVDB)
to the fictional DDT after bulk replace. Needs manual semantic review
to either remove or restore correct citation without re-introducing
affiliation references.

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

skills/ms-ai-infrastructure/references/bcdr/failover-testing-ai-services.md

@@ -120,7 +120,7 @@ Failover-tester boer dekke flere niva -- fra enkeltkomponent til fullstendig reg
         "type": "List",
         "targets": [
           {
-            "id": "/subscriptions/{sub-id}/resourceGroups/rg-ai-prod/providers/Microsoft.DocumentDB/databaseAccounts/svv-ai-cosmos/providers/Microsoft.Chaos/targets/Microsoft-CosmosDB",
+            "id": "/subscriptions/{sub-id}/resourceGroups/rg-ai-prod/providers/Microsoft.DocumentDB/databaseAccounts/ddt-ai-cosmos/providers/Microsoft.Chaos/targets/Microsoft-CosmosDB",
             "type": "ChaosTarget"
           }
         ]
@@ -232,9 +232,9 @@ async def check_cosmos_health(endpoint: str) -> dict:
 async def full_health_check() -> dict:
     """Komplett helsesjekk for alle AI-komponenter."""
     results = await asyncio.gather(
-        check_openai_health("https://svv-aoai-ne.openai.azure.com", "***"),
-        check_openai_health("https://svv-aoai-sc.openai.azure.com", "***"),
-        check_cosmos_health("https://svv-ai-cosmos.documents.azure.com"),
+        check_openai_health("https://ddt-aoai-ne.openai.azure.com", "***"),
+        check_openai_health("https://ddt-aoai-sc.openai.azure.com", "***"),
+        check_cosmos_health("https://ddt-ai-cosmos.documents.azure.com"),
     )
     overall = "healthy" if all(r["status"] == "healthy" for r in results) else "degraded"
     return {"overall": overall, "components": results}
@@ -517,7 +517,7 @@ Integrer L1-tester i CI/CD-pipeline:
         - task: AzureCLI@2
           displayName: 'Start Chaos Experiment'
           inputs:
-            azureSubscription: 'svv-ai-staging'
+            azureSubscription: 'ddt-ai-staging'
             scriptType: 'bash'
             inlineScript: |
               # Start chaos experiment
@@ -534,19 +534,19 @@ Integrer L1-tester i CI/CD-pipeline:
         - task: AzureCLI@2
           displayName: 'Run Load Test During Chaos'
           inputs:
-            azureSubscription: 'svv-ai-staging'
+            azureSubscription: 'ddt-ai-staging'
             scriptType: 'bash'
             inlineScript: |
               # Kjoer lasttest parallelt med chaos experiment
               az load test run create \
                 --test-id ai-failover-load-test \
                 --resource-group rg-ai-staging \
-                --load-test-resource svv-ai-load-test
+                --load-test-resource ddt-ai-load-test
 
         - task: AzureCLI@2
           displayName: 'Validate Results'
           inputs:
-            azureSubscription: 'svv-ai-staging'
+            azureSubscription: 'ddt-ai-staging'
             scriptType: 'bash'
             inlineScript: |
               # Valider at feilrate er innenfor terskel