ai-lifecycle-risk-manager

What problem does it solve?

This Skill turns NIST AI RMF guidance into a working org-level AI risk program, so AI risk is managed continuously instead of living in scattered reviews and static policy docs.

Core Features & Use Cases

• Cross-cutting governance: Defines accountability, appetite, escalation, and policy practices that apply throughout the AI lifecycle rather than as a one-time setup step.
• Lifecycle risk operations: Maps MAP, MEASURE, and MANAGE activities to design, development, deployment, operation, and decommission stages with named owners and triggers.
• Composed integrations: Uses existing skills for feature intake, threat modeling, evals, incident response, containment, and governance controls instead of restating their logic.
• Practical use case: Use it when your team needs a company-wide AI risk register, lifecycle re-check triggers for model or provider changes, and honest handling of unmeasured risks.

Quick Start

Ask the AI to operationalize NIST AI RMF 1.0 across your AI systems with owners, lifecycle triggers, a risk register, and clear references to the supporting governance, eval, and incident-response skills.