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>

plugins/ms-ai-architect/skills/ms-ai-engineering/references/agent-orchestration/agent-ecosystem-and-plugin-marketplace.md

@@ -114,7 +114,7 @@ class AgentPluginRegistry:
 {
     "$schema": "https://schemas.microsoft.com/agent/v2.1/manifest.json",
     "manifestVersion": "2.1",
-    "id": "no.svv.agent.byggesak",
+    "id": "no.ddt.agent.byggesak",
     "version": "1.3.0",
     "name": {
         "short": "Byggesak-agent",

plugins/ms-ai-architect/skills/ms-ai-engineering/references/agent-orchestration/agent-to-agent-a2a-protocol.md

@@ -414,7 +414,7 @@ A2A er spesielt relevant for offentlig sektor fordi norske myndigheter opererer
 | Scenario | Aktører | A2A-kobling |
 |----------|---------|-------------|
 | Innbygger-henvendelse (NAV + Skatteetaten) | NAV-agent, Skatteetaten-agent | NAV-agent delegerer skatteoppslag via A2A |
-| Statens vegvesen + Politiet | Kjøretøy-agent, Trafikk-agent | Felles trafikkanalyse via A2A |
+| Direktoratet for digital tjenesteutvikling + Politiet | Kjøretøy-agent, Trafikk-agent | Felles trafikkanalyse via A2A |
 | Helseforetak på tvers | Sykehus A-agent, Fastlege-agent | Pasienthistorikk-utveksling (med samtykke) |
 | DigDir-tjenester | eID-agent, Altinn-agent | Autentisert datautveksling |
 
@@ -432,7 +432,7 @@ A2A er spesielt relevant for offentlig sektor fordi norske myndigheter opererer
 
 ```json
 {
-  "name": "Vegvesen Kjøretøy-agent",
+  "name": "Direktoratet Kjøretøy-agent",
   "version": "2.0.0",
   "capabilities": {
     "streaming": false,
@@ -586,7 +586,7 @@ Ingen sentral koordinering, hardkodede endpoints, minimal overhead.
 [Borger] → [Felles inngangsagent (DigDir)]
                 ├─ A2A → [NAV-agent]
                 ├─ A2A → [Skatteetaten-agent]
-                └─ A2A → [Vegvesen-agent]
+                └─ A2A → [Direktoratet-agent]
 ```
 
 Hver etat eier og drifter sin egen agent. Felles inngangsagent orkestrerer via A2A.

plugins/ms-ai-architect/skills/ms-ai-engineering/references/agent-orchestration/declarative-vs-imperative-agent-design.md

@@ -34,14 +34,14 @@ For mange organisasjoner er svaret ikke enten-eller, men en hybrid tilnærming d
 {
     "name": "IT-Helpdesk",
     "description": "Hjelper ansatte med IT-problemer",
-    "instructions": "Du er en IT-helpdesk-assistent for Statens vegvesen. Svar på spørsmål om tilganger, programvare og nettverksproblemer. Referer alltid til relevante KB-artikler. Eskalér til ServiceDesk hvis du ikke kan løse problemet.",
+    "instructions": "Du er en IT-helpdesk-assistent for Direktoratet for digital tjenesteutvikling. Svar på spørsmål om tilganger, programvare og nettverksproblemer. Referer alltid til relevante KB-artikler. Eskalér til ServiceDesk hvis du ikke kan løse problemet.",
     "capabilities": [
         {"name": "WebSearch", "disabled": true},
         {"name": "CodeInterpreter", "disabled": false}
     ],
     "knowledge": {
         "sharepoint_sites": [
-            "https://svv.sharepoint.com/sites/IT-KB"
+            "https://ddt.sharepoint.com/sites/IT-KB"
         ],
         "graph_connectors": ["servicenow-connector"]
     },

plugins/ms-ai-architect/skills/ms-ai-engineering/references/agent-orchestration/multi-tenant-agent-isolation.md

@@ -89,7 +89,7 @@ public class TenantDeploymentManager
         var deploymentName = _tenantDeployments[tenantId];
 
         return new AzureChatCompletion(
-            deploymentName: deploymentName,  // f.eks. "gpt-4o-tenant-svv"
+            deploymentName: deploymentName,  // f.eks. "gpt-4o-tenant-ddt"
             endpoint: _endpoint,
             credentials: new DefaultAzureCredential()
         );