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chore(privacy): scrub real-org references from plugin internals (phase 2)

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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>
This commit is contained in:
Kjell Tore Guttormsen 2026-05-03 04:28:15 +02:00
commit 781d98f62f
61 changed files with 138 additions and 138 deletions
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6
skills/ms-ai-engineering/references/agent-orchestration/agent-to-agent-a2a-protocol.md
View file

@ -414,7 +414,7 @@ A2A er spesielt relevant for offentlig sektor fordi norske myndigheter opererer
| Scenario | Aktører | A2A-kobling |
|----------|---------|-------------|
| Innbygger-henvendelse (NAV + Skatteetaten) | NAV-agent, Skatteetaten-agent | NAV-agent delegerer skatteoppslag via A2A |
| Statens vegvesen + Politiet | Kjøretøy-agent, Trafikk-agent | Felles trafikkanalyse via A2A |
| Direktoratet for digital tjenesteutvikling + Politiet | Kjøretøy-agent, Trafikk-agent | Felles trafikkanalyse via A2A |
| Helseforetak på tvers | Sykehus A-agent, Fastlege-agent | Pasienthistorikk-utveksling (med samtykke) |
| DigDir-tjenester | eID-agent, Altinn-agent | Autentisert datautveksling |
@ -432,7 +432,7 @@ A2A er spesielt relevant for offentlig sektor fordi norske myndigheter opererer
```json
{
"name": "Vegvesen Kjøretøy-agent",
"name": "Direktoratet Kjøretøy-agent",
"version": "2.0.0",
"capabilities": {
"streaming": false,
@ -586,7 +586,7 @@ Ingen sentral koordinering, hardkodede endpoints, minimal overhead.
[Borger] → [Felles inngangsagent (DigDir)]
├─ A2A → [NAV-agent]
├─ A2A → [Skatteetaten-agent]
└─ A2A → [Vegvesen-agent]
└─ A2A → [Direktoratet-agent]
```
Hver etat eier og drifter sin egen agent. Felles inngangsagent orkestrerer via A2A.