fix(ms-ai-architect): Foundry URL-navnerom-migrering (ai-foundry → foundry/foundry-classic, 141 filer)

Task #5 del 1/3 (URL-migrering). Verifiseringen motbeviste STATE.md-premisset om ren prefix-swap: rebrand er per-URL, ikke mekanisk. En blind sed ai-foundry→foundry ville lagd 56 nye 404-er (classic-stiene finnes ikke under nytt foundry/-prefiks — bekreftet empirisk).

Metode: resolverte alle 237 unike KB-URLer mot live redirects (curl -L), bygde full-URL→full-URL-mapping fra faktisk url_effective. Bevarer locale-form, query (?view=) og #fragment per lenke.

- 231 navnerom-erstatninger over 141 filer (408 forekomster):
  - 161 → azure/foundry/ (98 ren prefix-swap + 10 sti-reorg + reorg-tilfeller)
  - 69 → azure/foundry-classic/ (eldre hub-spor: assistants, hub-DR, on-your-data; faktisk redirect-mål per operatorvalg)
  - 1 → azure/foundry-local/

- 2 døde lenker (404) fikset til verifiserte mål:
  - agent-service → azure/foundry/agents/overview
  - concepts/evaluation-evaluators/ → azure/foundry/how-to/evaluate-generative-ai-app

- 5 path-/display-referanser (uten https://, i backticks/lenketekst) rettet manuelt.

- 6 slug-baserte ai-foundry-treff urørt (scope-grense): managed-grafana-dashboard, security-baseline, power-platform prompt-builder, architecture baseline-chat (sistnevnte slug-rebrand i annet navnerom — mulig fremtidig funn).

- Parkert til task #5 del 2/3: Norway East GPT-5-datasuverenitet-fiks + modellkatalog-utvidelse (5.3/5.4/5.5, gpt-oss, sora-2).

Verifisert: 0 gjenværende azure/ai-foundry/-navnerom i skills/. validate-plugin.sh 219 PASS. test-kb-integrity.sh 117/117 passed.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

Claude-Session: https://claude.ai/code/session_01REiKFhP4w6xGXXqWKpPCJJ

skills/ms-ai-advisor/references/prompt-engineering/role-playing-and-persona-techniques.md

@@ -666,22 +666,22 @@ If uncertain, explain limitations.
 
 **Microsoft Learn (offisielle kilder):**
 
-1. [System message design - Azure AI Foundry](https://learn.microsoft.com/en-us/azure/ai-foundry/openai/concepts/advanced-prompt-engineering)
+1. [System message design - Azure AI Foundry](https://learn.microsoft.com/en-us/azure/foundry/openai/concepts/advanced-prompt-engineering)
    *Komplett guide til system message design, key concepts, og best practices*
 
-2. [Safety system messages - Azure OpenAI](https://learn.microsoft.com/en-us/azure/ai-foundry/openai/concepts/system-message)
+2. [Safety system messages - Azure OpenAI](https://learn.microsoft.com/en-us/azure/foundry/openai/concepts/system-message)
    *Authoring techniques, safety components, og testing strategies*
 
-3. [Prompt engineering techniques - Azure OpenAI](https://learn.microsoft.com/en-us/azure/ai-foundry/openai/concepts/prompt-engineering)
+3. [Prompt engineering techniques - Azure OpenAI](https://learn.microsoft.com/en-us/azure/foundry/openai/concepts/prompt-engineering)
    *Bredere prompt-veiledning inkludert few-shot og token efficiency*
 
 4. [Use prompts in Copilot Studio](https://learn.microsoft.com/en-us/microsoft-copilot-studio/nlu-prompt-node) (Re-verified MCP 2026-04)
    *Prompt editor features: natural language creation, template library, model selection (Azure OpenAI/Foundry), temperature, knowledge retrieval, code interpreter. Prompt-nivå: agent-tool, topic-node, agent flow-node.*
 
-5. [Azure OpenAI On Your Data - Best practices](https://learn.microsoft.com/en-us/azure/ai-foundry/openai/concepts/use-your-data)
+5. [Azure OpenAI On Your Data - Best practices](https://learn.microsoft.com/en-us/azure/foundry-classic/openai/concepts/use-your-data)
    *System message bruk i RAG-scenarier*
 
-6. [Responsible AI practices for Azure OpenAI](https://learn.microsoft.com/en-us/azure/ai-foundry/responsible-ai/openai/overview)
+6. [Responsible AI practices for Azure OpenAI](https://learn.microsoft.com/en-us/azure/foundry/responsible-ai/openai/overview)
    *Metaprompt tuning som mitigation strategy*
 
 **Code samples verifisert:**