open/ms-ai-architect
1
0
Fork 0
Code Issues Pull requests Releases Wiki Activity Actions
123 commits 1 branch 8 tags 130 MiB
Commit graph

3 commits

Author SHA1 Message Date
Kjell Tore Guttormsen
665836caf1 test(ms-ai-architect): add ros-analysis fixture for E2E suite 
Synthetic ROS-analyse output for "Acme Kunde-chatbot" (Acme Kommune)
following the same pattern as security-assessment, cost-estimation,
ai-act and summary fixtures. Satisfies all 29 assertions in
tests/test-ros-output.sh:

- 8 phases (Fase 1-8) plus Ledelsessammendrag
- 12 trusler i T-XXX-NN format (MAESTRO + OWASP-mapping)
- 9 risikoer i R-N format
- 10 tiltak i M-N format
- 7 ROS-dimensjoner med X/5-scoring
- 5x5 risikomatrise + restrisiko-tabell
- NS 5814 + ISO 31000 metodikk-referanser
- AI Act, GDPR, OWASP regulatoriske referanser
- MAESTRO + supply-chain referanser (Vedlegg O coverage)

Tar bort den siste pre-eksisterende run-e2e-feilen
(`bash tests/run-e2e.sh` exits 0).

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
 2026-05-05 12:38:49 +02:00
Kjell Tore Guttormsen
781d98f62f 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>
 2026-05-03 04:28:15 +02:00
Kjell Tore Guttormsen
baa2d0220b feat(ultraplan-local): v1.6.0 — /ultraresearch-local deep research command 
Add /ultraresearch-local for structured research combining local codebase
analysis with external knowledge via parallel agent swarms. Produces research
briefs with triangulation, confidence ratings, and source quality assessment.

New command: /ultraresearch-local with modes --quick, --local, --external, --fg.
New agents: research-orchestrator (opus), docs-researcher, community-researcher,
security-researcher, contrarian-researcher, gemini-bridge (all sonnet).
New template: research-brief-template.md.

Integration: --research flag in /ultraplan-local accepts pre-built research
briefs (up to 3), enriches the interview and exploration phases. Planning
orchestrator cross-references brief findings during synthesis.

Design principle: Context Engineering — right information to right agent at
right time. Research briefs are structured artifacts in the pipeline:
ultraresearch → brief → ultraplan --research → plan → ultraexecute.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
 2026-04-08 08:58:35 +02:00