What problem does it solve? Founders and agents often cannot tell how much legal, safety, financial, clinical, employment, privacy, or sector regulation should limit a business decision or an agent's autonomy level. This Skill produces an evidence-backed regulatory intensity classification so routing, approvals, and autonomy ceilings match the company's actual regulatory exposure. ## Core Features & Use Cases - Regulated Touchpoint Mapping: Maps activities, data, people, assets, and jurisdictions to identify where rules apply, with evidence and confidence attached. - Consequence and Ambiguity Scoring: Scores decision consequence and regulatory ambiguity to set specialist gates and lower autonomy where required. - Structured Decision Output: Produces a diagnosis, ranked options, recommendation, plan, metrics, monitoring cadence, and escalation conditions in a defined YAML schema. - Use Case: A founder expanding into a new jurisdiction asks whether an AI agent can autonomously adjust pricing. The Skill classifies regulatory intensity, sets legal/compliance gates, caps autonomy at L2, and routes material commitments to a named human approver. ## Quick Start Use the regulatory intensity classifier to assess how legal and sector rules should constrain autonomy for our planned expansion into the EU market.
