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-security/references/performance-scalability/prompt-caching-performance.md

@@ -153,15 +153,15 @@ def design_cacheable_prompt(
     return messages, stats
 
 
-# Eksempel: Saksbehandler-assistent for Statens vegvesen
+# Eksempel: Saksbehandler-assistent for Direktoratet for digital tjenesteutvikling
 messages, stats = design_cacheable_prompt(
     system_instructions="""Du er en AI-assistent for saksbehandlere i
-    Statens vegvesen. Du hjelper med å analysere klager på vedtak om
-    førerkort, vurdere om klagen har grunnlag, og foreslå svar.
+    Direktoratet for digital tjenesteutvikling. Du hjelper med å analysere klager på vedtak om
+    saksbehandling, vurdere om klagen har grunnlag, og foreslå svar.
 
     Regelverk du skal referere til:
     - Vegtrafikkloven § 24-34
-    - Førerkortforskriften
+    - fagforskriften
     - Forvaltningsloven § 28-36 (klagebehandling)
 
     Format: Alltid bruk overskrifter, vurder hvert punkt separat,
@@ -173,7 +173,7 @@ messages, stats = design_cacheable_prompt(
             "output": "## Vurdering\n### Regelverksvurdering..."
         },
         {
-            "input": "Klage: Mitt førerkort ble inndratt...",
+            "input": "Klage: Mitt saksbehandling ble inndratt...",
             "output": "## Vurdering\n### Regelverksvurdering..."
         }
     ],
@@ -203,7 +203,7 @@ client = AzureOpenAI(
 response = client.chat.completions.create(
     model="gpt-4o",
     messages=messages,
-    prompt_cache_key="svv-complaint-handler-v2",  # Gruppert caching
+    prompt_cache_key="ddt-complaint-handler-v2",  # Gruppert caching
     max_tokens=1000
 )