⚖️ pack: us-ai-pack

Ship AI decisions without the Colorado AI Act surprise.

Q: What human gates does us-ai-pack introduce?

gate:ai-governance (security-officer). These layer on top of the standard plan/ship gates.

Q: What if my project doesn't match these signals exactly?

You can manually add the pack name to PROJECT.md or run /migrate to re-run detection with updated rules.

Making or influencing a consequential decision (employment, lending, housing, insurance, healthcare, education) or a generative-AI consumer feature, with US users? GreatCTO auto-attaches us-ai-pack — the US analogue of the EU AI Act: NIST AI RMF (GOVERN/MAP/MEASURE/MANAGE), Colorado AI Act SB 205 (consumer notice + appeal-to-human + impact assessment + AG notification), Utah AI + Texas TRAIGA disclosure, and California AB 2013 training-data transparency + SB 942 provenance.

$ npx great-cto init All packs ↗

Auto-attach signals

Detected by CLI when:

nist ai rmf · colorado ai act · SB 205 · algorithmic discrimination · consequential decision · high-risk ai · utah ai · TRAIGA · AB 2013 · SB 942

The pack rides on top of your base archetype (web-service, ai-system, fintech, …) — it doesn't replace it. Auto-injects reviewer agents into the pipeline + opens human gates listed below.

Reviewer agents activated

1 specialist added to the pipeline.

01 · us-ai-reviewer

NIST AI RMF + Colorado SB 205 + Utah AI + Texas TRAIGA + CA AB 2013 / SB 942

Human gates introduced

1 new gate type on top of `gate:plan` + `gate:ship`.

Gate	Owner	Trigger
`gate:ai-governance`	security-officer	classification + state-duty mapping

Required artefacts before senior-dev claims tasks

7 concrete deliverables.

✓ Consequential-decision / generative-consumer classification
✓ State applicability matrix (CO SB 205 / UT / TX / CA)
✓ NIST AI RMF control map (GOVERN/MAP/MEASURE/MANAGE)
✓ CO SB 205: impact assessment + consumer notice + appeal-to-human path
✓ Algorithmic-discrimination / bias testing
✓ Generative-AI disclosure (UT/TX)
✓ CA AB 2013 training-data documentation + SB 942 provenance

EVAL suite required

1 golden-set scenarios shipped as templates.

Each EVAL has ≥5 test cases, pass threshold, regression interpretation, cross-refs to TM + gates. Run via your existing test framework.

EVAL-usai-state-duties.md

Regulatory surface covered

6 standards / regulations addressed.

NIST AI RMF 1.0 + GenAI Profile Colorado AI Act (SB 24-205) Utah AI Policy Act Texas Responsible AI Governance Act (TRAIGA) California AB 2013 California SB 942 (AI Transparency Act)

FAQ

Common questions about us-ai-pack.

When does us-ai-pack auto-attach?

When the CLI detects these signals in your repo: nist ai rmf · colorado ai act · SB 205 · algorithmic discrimination · consequential decision · high-risk ai · utah ai · TRAIGA · AB 2013 · SB 942. Override anytime by editing packs: in PROJECT.md.

What human gates does us-ai-pack introduce?

gate:ai-governance (security-officer). These layer on top of the standard plan/ship gates.

What if my project doesn't match these signals exactly?

You can manually add the pack name to PROJECT.md or run /migrate to re-run detection with updated rules.

30 seconds

Drop GreatCTO into any repo — us-ai-pack attaches automatically.

$ npx great-cto init

no signup·runs locally·pay your own API