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/rag-architecture/contextual-retrieval.md

@@ -33,7 +33,7 @@ I Azure-stakken implementeres contextual retrieval via en **Custom Web API Skill
 Original chunk: "Forskningen understreket AI"
 → Problematisk: Hvem, når, hvilken AI?
 
-Contextual chunk: "Fra Statens vegvesen sin 2025-rapport om autonome
+Contextual chunk: "Fra Direktoratet for digital tjenesteutvikling sin 2025-rapport om autonome
 kjøretøy. Dette avsnittet diskuterer AI-teknologier for selvkjørende biler.
 Forskningen understreket AI"
 → Tydelig: LLM kan nå forstå konteksten

plugins/ms-ai-architect/skills/ms-ai-engineering/references/rag-architecture/embedding-models-selection.md

@@ -445,7 +445,7 @@ Azure AI Foundry støtter fine-tuning av embedding-modeller via **Custom Models*
 
 ```jsonl
 {"query": "hva er regelverket for kunstig intelligens i norge", "document": "AI-forordningen (EU AI Act) trådte i kraft...", "label": 1}
-{"query": "azure openai prising", "document": "Vegvesenets budsjett for 2025...", "label": 0}
+{"query": "azure openai prising", "document": "Direktoratetets budsjett for 2025...", "label": 0}
 ```
 
 **Tips for norsk/skandinavisk:**