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>
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

View file

@ -42,7 +42,7 @@ Klare til bruk uten trening:
- **Invoice processing** - Trekk ut felt fra fakturaer
- **Receipt processing** - Les kvitteringsdata
- **Business card reader** - Skann visittkort
- **ID reader** - Les pass, førerkort, etc.
- **ID reader** - Les pass, saksbehandling, etc.
- **Text translation** - Oversett tekst
- **Sentiment analysis** - Analyser følelser i tekst
- **Key phrase extraction** - Finn nøkkelord