fix(ms-ai-architect): RX-P2 reg-kjede-wiring + komprehensiv agent-sti-forankring [skip-docs]

- classify->dpia->ros kjede-wiring: dpia/ros Task-templater far eksplisitte
  AI Act-klassifiserings- + DPIA-funn-felt (kjede-data agentene allerede branchet pa)
- dpia-agent uutforbar "spor bruker" -> "marker vurderingen" (Hvis-ikke-klassifisert
  + Error Handling); speilet til ros-analysis-agent
- adr-writer-agent: Write-verktoy fjernet, returnerer ADR-markdown til hovedkontekst
  (command er eneste skriver -- subagenter skriver aldri)
- KB-sti-forankring (komprehensiv): 36 bare referanse-subdir-stier i 6 agenter +
  2 commands fullkvalifisert med CLAUDE_PLUGIN_ROOT/skills/<skill>/references/ ---
  ogsa innen-skill kortformer, uresolverbare i installert modus
- mekanisme: validate-plugin.sh Check 6d (bare-subdir-lint m/ hyphen-guard) +
  negativ-probe-test (beviser tenner) + RX-P2 wiring-regresjonstester

Suite 859/859 exit 0. validate-plugin 250 PASS / 0 FAIL. 145 forankrede stier
verifisert eksisterende (0 mangler).

agents/adr-writer-agent.md

@@ -2,12 +2,12 @@
 name: adr-writer-agent
 description: |
   Generates Architecture Decision Records (ADR) in MADR v3.0 format from structured input.
-  Reads adr-template.md, fills in from session context, and writes to file.
+  Reads adr-template.md, fills in from session context, and returns the ADR markdown to the main context.
   Use when architect:adr needs to generate a complete ADR document.
   Triggers on: ADR generation, decision documentation, architect:adr delegation.
 model: opus
 color: orange
-tools: ["Read", "Write", "Glob"]
+tools: ["Read", "Glob"]
 ---
 
 # ADR Writer Agent
@@ -87,9 +87,9 @@ Fill in every section of the MADR template:
 
 **Validering og oppfølging**: Concrete next steps with responsible party.
 
-### 4. Write to File
+### 4. Return to Main Context
 
-Write the ADR to the location specified in the input. Default: `docs/adr/ADR-NNN-[slug].md`
+Return the complete ADR markdown as your final message. The main context (the `/architect:adr` command) writes it to file — do not write files yourself (you run as a subagent).
 
 ## Output Format
 
@@ -101,7 +101,7 @@ The generated ADR should be:
 
 ## Quality Checklist
 
-Before writing:
+Before returning:
 - [ ] All template sections filled (no placeholders)
 - [ ] Compliance section included (even if "Not assessed")
 - [ ] Confidence level reflects actual analysis quality

agents/architecture-review-agent.md

@@ -164,13 +164,13 @@ Read relevant knowledge base files:
 - `${CLAUDE_PLUGIN_ROOT}/skills/ms-ai-advisor/references/architecture/licensing-matrix.md` — License requirements
 
 Load domain-specific references only when dimension requires depth (max 2-3 additional):
-- AI Act: `responsible-ai/ai-act-compliance-guide.md`, `responsible-ai/ai-act-annex-iii-checklist.md`
-- Governance: `responsible-ai/ai-governance-structure-framework.md`
-- Norwegian: `norwegian-public-sector-governance/utredningsinstruksen-ai-methodology.md`
-- Security: `ai-security-engineering/ai-threat-modeling-stride.md`
-- Cost: `cost-optimization/azure-ai-foundry-cost-governance.md`, `cost-optimization/deterministic-cost-calculation-model.md`
-- RAG-arkitektur (når løsningen er RAG-/gjenfinningsbasert): `${CLAUDE_PLUGIN_ROOT}/skills/ms-ai-engineering/references/rag-architecture/rag-core-patterns.md`, `rag-architecture/agentic-rag-patterns.md`, `rag-architecture/rag-evaluation-frameworks.md`
-- MLOps/GenAIOps (når løsningen har produksjons-/livssyklusfokus): `${CLAUDE_PLUGIN_ROOT}/skills/ms-ai-engineering/references/mlops-genaiops/genaiops-llm-specific-practices.md`, `mlops-genaiops/monitoring-observability-ml-systems.md`, `mlops-genaiops/model-deployment-strategies-azure.md`
+- AI Act: `${CLAUDE_PLUGIN_ROOT}/skills/ms-ai-governance/references/responsible-ai/ai-act-compliance-guide.md`, `${CLAUDE_PLUGIN_ROOT}/skills/ms-ai-governance/references/responsible-ai/ai-act-annex-iii-checklist.md`
+- Governance: `${CLAUDE_PLUGIN_ROOT}/skills/ms-ai-governance/references/responsible-ai/ai-governance-structure-framework.md`
+- Norwegian: `${CLAUDE_PLUGIN_ROOT}/skills/ms-ai-governance/references/norwegian-public-sector-governance/utredningsinstruksen-ai-methodology.md`
+- Security: `${CLAUDE_PLUGIN_ROOT}/skills/ms-ai-security/references/ai-security-engineering/ai-threat-modeling-stride.md`
+- Cost: `${CLAUDE_PLUGIN_ROOT}/skills/ms-ai-security/references/cost-optimization/azure-ai-foundry-cost-governance.md`, `${CLAUDE_PLUGIN_ROOT}/skills/ms-ai-security/references/cost-optimization/deterministic-cost-calculation-model.md`
+- RAG-arkitektur (når løsningen er RAG-/gjenfinningsbasert): `${CLAUDE_PLUGIN_ROOT}/skills/ms-ai-engineering/references/rag-architecture/rag-core-patterns.md`, `${CLAUDE_PLUGIN_ROOT}/skills/ms-ai-engineering/references/rag-architecture/agentic-rag-patterns.md`, `${CLAUDE_PLUGIN_ROOT}/skills/ms-ai-engineering/references/rag-architecture/rag-evaluation-frameworks.md`
+- MLOps/GenAIOps (når løsningen har produksjons-/livssyklusfokus): `${CLAUDE_PLUGIN_ROOT}/skills/ms-ai-engineering/references/mlops-genaiops/genaiops-llm-specific-practices.md`, `${CLAUDE_PLUGIN_ROOT}/skills/ms-ai-engineering/references/mlops-genaiops/monitoring-observability-ml-systems.md`, `${CLAUDE_PLUGIN_ROOT}/skills/ms-ai-engineering/references/mlops-genaiops/model-deployment-strategies-azure.md`
 
 ## Virksomhetskontekst (automatisk)
 

agents/cost-estimation-agent.md

@@ -60,9 +60,9 @@ Read these core files:
 - `${CLAUDE_PLUGIN_ROOT}/skills/ms-ai-advisor/references/architecture/cost-models.md` — Cost model templates
 
 Load additional files only when estimate requires specific depth:
-- PTU: `cost-optimization/ptu-vs-paygo-economics.md`
-- Caching: `cost-optimization/semantic-caching-patterns.md`
-- Model selection: `cost-optimization/model-selection-price-performance.md`
+- PTU: `${CLAUDE_PLUGIN_ROOT}/skills/ms-ai-security/references/cost-optimization/ptu-vs-paygo-economics.md`
+- Caching: `${CLAUDE_PLUGIN_ROOT}/skills/ms-ai-security/references/cost-optimization/semantic-caching-patterns.md`
+- Model selection: `${CLAUDE_PLUGIN_ROOT}/skills/ms-ai-security/references/cost-optimization/model-selection-price-performance.md`
 
 ## Virksomhetskontekst (automatisk)
 

agents/dpia-agent.md

@@ -22,10 +22,10 @@ Read these core files:
 - `${CLAUDE_PLUGIN_ROOT}/skills/ms-ai-governance/references/responsible-ai/ai-impact-assessment-framework.md` — Konsekvensvurdering
 
 Load additional files only when assessment requires specific depth:
-- Bias: `responsible-ai/bias-detection-mitigation-strategies.md`
-- PII: `ai-security-engineering/pii-detection-norwegian-context.md`
-- Data leakage: `ai-security-engineering/data-leakage-prevention-ai.md`
-- **Cross-border / Schrems II (OBLIGATORISK når data kan nås fra tredjeland — se Fase 3, risiko 7):** `monitoring-observability/data-residency-audit-monitoring.md` — EDPB seks-stegs-TIA, CLOUD Act/FISA 702/EO 12333-restanalyse, EO 14086/DPF-status, tekniske tilleggstiltak
+- Bias: `${CLAUDE_PLUGIN_ROOT}/skills/ms-ai-governance/references/responsible-ai/bias-detection-mitigation-strategies.md`
+- PII: `${CLAUDE_PLUGIN_ROOT}/skills/ms-ai-security/references/ai-security-engineering/pii-detection-norwegian-context.md`
+- Data leakage: `${CLAUDE_PLUGIN_ROOT}/skills/ms-ai-security/references/ai-security-engineering/data-leakage-prevention-ai.md`
+- **Cross-border / Schrems II (OBLIGATORISK når data kan nås fra tredjeland — se Fase 3, risiko 7):** `${CLAUDE_PLUGIN_ROOT}/skills/ms-ai-governance/references/monitoring-observability/data-residency-audit-monitoring.md` — EDPB seks-stegs-TIA, CLOUD Act/FISA 702/EO 12333-restanalyse, EO 14086/DPF-status, tekniske tilleggstiltak
 
 ## Virksomhetskontekst (automatisk)
 
@@ -47,7 +47,7 @@ Før DPIA-vurderingen, sjekk om AI Act-klassifisering er utført:
 - Integrer deployer-forpliktelser fra `ai-act-deployer-obligations.md` som tiltak i Fase 4
 
 ### Hvis ikke klassifisert
-- Spør om det bør gjøres: "Er det gjennomført AI Act-klassifisering for dette systemet? Hvis nei, anbefaler vi `/architect:classify` — men DPIA fortsetter uansett."
+- Marker i rapporten at AI Act-klassifisering ikke er dokumentert, og anbefal `/architect:classify` som neste steg (du kjører som subagent uten brukertur — still ingen spørsmål)
 - Fortsett DPIA som normalt — klassifisering er ikke forutsetning
 
 ### Ekstra KB-referanser for AI Act
@@ -93,7 +93,7 @@ Risk categories for AI systems:
 
 #### Cross-border / Schrems II — obligatorisk TIA (risiko 7)
 
-Når systemet bruker en amerikansk-eid skyleverandør (Azure/Microsoft 365/Foundry) eller data på annen måte kan nås fra tredjeland, **er det ikke nok å navngi risikoen** — load `monitoring-observability/data-residency-audit-monitoring.md` og gjennomfør EDPB seks-stegs Transfer Impact Assessment:
+Når systemet bruker en amerikansk-eid skyleverandør (Azure/Microsoft 365/Foundry) eller data på annen måte kan nås fra tredjeland, **er det ikke nok å navngi risikoen** — load `${CLAUDE_PLUGIN_ROOT}/skills/ms-ai-governance/references/monitoring-observability/data-residency-audit-monitoring.md` og gjennomfør EDPB seks-stegs Transfer Impact Assessment:
 
 1. Kartlegg overføringene (inkl. residual: support, troubleshooting, telemetri)
 2. Identifiser overføringsverktøyet (adekvansvedtak / SCCs / unntak)
@@ -141,9 +141,9 @@ Read the AI system description or architecture proposal. Extract:
 
 ### 2. Load Reference Knowledge
 Core files are loaded via Knowledge Base References above. For deeper analysis:
-- Fairness: `responsible-ai/fairness-testing-measurement.md`
-- Transparency: `responsible-ai/transparency-documentation-standards.md`
-- Human oversight: `responsible-ai/human-in-the-loop-oversight.md`
+- Fairness: `${CLAUDE_PLUGIN_ROOT}/skills/ms-ai-governance/references/responsible-ai/fairness-testing-measurement.md`
+- Transparency: `${CLAUDE_PLUGIN_ROOT}/skills/ms-ai-governance/references/responsible-ai/transparency-documentation-standards.md`
+- Human oversight: `${CLAUDE_PLUGIN_ROOT}/skills/ms-ai-governance/references/responsible-ai/human-in-the-loop-oversight.md`
 
 ### 3. Validate Latest Guidance
 Use `microsoft_docs_search` for:
@@ -225,7 +225,7 @@ Follow the output format below with all sections completed.
 
 If missing information:
 - State assumptions clearly
-- Request specific details needed
+- Note which specific inputs are missing rather than requesting them (you run as a non-interactive subagent with no user turn)
 - Provide conditional assessments
 - Note "Kan ikke vurdere [area] uten [info]"
 

agents/research-agent.md

@@ -34,8 +34,8 @@ Et kompakt sammendrag av virksomhetskonteksten injiseres ambient i hovedøkten v
 ## Lokal KB-baseline (betinget — RAG / MLOps / engineering-temaer)
 
 Når forskningstemaet er RAG, gjenfinning, MLOps eller GenAIOps, les den relevante engineering-kjernefilen **først** som hypotese-baseline — verifiser den deretter mot live Microsoft Learn. KB-en kan være utdatert; **MCP-resultatet er fasit**.
-- RAG/gjenfinning: `${CLAUDE_PLUGIN_ROOT}/skills/ms-ai-engineering/references/rag-architecture/rag-core-patterns.md`, `rag-architecture/agentic-rag-patterns.md`
-- MLOps/GenAIOps: `${CLAUDE_PLUGIN_ROOT}/skills/ms-ai-engineering/references/mlops-genaiops/genaiops-llm-specific-practices.md`, `mlops-genaiops/llm-evaluation-production.md`
+- RAG/gjenfinning: `${CLAUDE_PLUGIN_ROOT}/skills/ms-ai-engineering/references/rag-architecture/rag-core-patterns.md`, `${CLAUDE_PLUGIN_ROOT}/skills/ms-ai-engineering/references/rag-architecture/agentic-rag-patterns.md`
+- MLOps/GenAIOps: `${CLAUDE_PLUGIN_ROOT}/skills/ms-ai-engineering/references/mlops-genaiops/genaiops-llm-specific-practices.md`, `${CLAUDE_PLUGIN_ROOT}/skills/ms-ai-engineering/references/mlops-genaiops/llm-evaluation-production.md`
 
 Les maks 2 baseline-filer. **Flagg eksplisitt** hvis live docs avviker fra KB-baselinen (samme avviks-flagging som Fase 4).
 

agents/ros-analysis-agent.md

@@ -36,12 +36,12 @@ Alle stier under `${CLAUDE_PLUGIN_ROOT}/skills/ms-ai-governance/references/norwe
 | Sektor oppdaget (helse/transport/finans/justis/utdanning) | `ros-sector-checklists.md` |
 | Multi-agent / agent-orkestrering | `ros-maestro-multiagent.md` (MAESTRO 7-lag) |
 | DPIA eller sikkerhetsvurdering skal integreres | `ros-dpia-security-integration.md` |
-| AI Act-dybde i dimensjon 6 | `responsible-ai/ai-act-classification-methodology.md` + `responsible-ai/ai-act-provider-obligations.md` (maks 2) |
+| AI Act-dybde i dimensjon 6 | `${CLAUDE_PLUGIN_ROOT}/skills/ms-ai-governance/references/responsible-ai/ai-act-classification-methodology.md` + `${CLAUDE_PLUGIN_ROOT}/skills/ms-ai-governance/references/responsible-ai/ai-act-provider-obligations.md` (maks 2) |
 
 ### Referanse (last kun ved eksplisitt behov, ikke default)
 - `${CLAUDE_PLUGIN_ROOT}/skills/ms-ai-security/references/ai-security-engineering/security-scoring-rubrics-6x5.md` — scoringsmønster-referanse
 - `ros-analyse-ai-systems.md` — generell ROS-bakgrunn
-- `responsible-ai/ai-risk-taxonomy-classification.md` — risikotaksonomi
+- `${CLAUDE_PLUGIN_ROOT}/skills/ms-ai-governance/references/responsible-ai/ai-risk-taxonomy-classification.md` — risikotaksonomi
 
 **Budsjett:** kjerne (4) + betinget (maks 2-3 på trigger) = typisk 5-7 filer. Aldri last hele katalogen; last ikke en betinget fil hvis triggeren ikke utløses.
 
@@ -273,7 +273,7 @@ Risk Levels: Low (1-6), Medium (7-12), High (13-19), Critical (20-25)
 
 If missing information:
 - State assumptions clearly
-- Request specific details needed
+- Note which specific inputs are missing rather than requesting them (you run as a non-interactive subagent with no user turn)
 - Provide conditional assessments
 - Note "Kan ikke vurdere [area] uten [info]"
 

agents/security-assessment-agent.md

@@ -26,9 +26,9 @@ Read these core files:
 - `${CLAUDE_PLUGIN_ROOT}/skills/ms-ai-security/references/ai-security-engineering/ai-threat-modeling-stride.md` — STRIDE trusselmodellering
 
 Load additional files only when assessment requires specific depth:
-- Prompt injection: `ai-security-engineering/prompt-injection-defense-patterns.md`
-- Governance: `responsible-ai/ai-act-compliance-guide.md`
-- Norwegian context: `norwegian-public-sector-governance/nsm-grunnprinsipper-ai-mapping.md`
+- Prompt injection: `${CLAUDE_PLUGIN_ROOT}/skills/ms-ai-security/references/ai-security-engineering/prompt-injection-defense-patterns.md`
+- Governance: `${CLAUDE_PLUGIN_ROOT}/skills/ms-ai-governance/references/responsible-ai/ai-act-compliance-guide.md`
+- Norwegian context: `${CLAUDE_PLUGIN_ROOT}/skills/ms-ai-governance/references/norwegian-public-sector-governance/nsm-grunnprinsipper-ai-mapping.md`
 
 ## Virksomhetskontekst (automatisk)