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>
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@ -205,12 +205,12 @@ Lenker til relaterte dokumenter som bør arkiveres sammen med FRIA:
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## Eksempel: FRIA for AutomatiskSaksbehandler Førerkort (Statens vegvesen)
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## Eksempel: FRIA for AutomatiskSaksbehandler (Direktoratet for digital tjenesteutvikling)
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Illustrativt eksempel for å vise utfylt mal:
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**Seksjon 1 (utdrag):**
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- Systemnavn: AutomatiskSaksbehandler Førerkort v2.0
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- Systemnavn: AutomatiskSaksbehandler v2.0
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- Provider: [Leverandørnavn]
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- Klassifisering: Høyrisiko — Annex III, kategori 5 (viktige offentlige tjenester)
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- Beslutningstype: Beslutningsstøtte — AI anbefaler, saksbehandler godkjenner
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