
from ai-safe2-framework126
A governance and security copilot that applies the AI SAFE2 v3.0 framework to design, review, and govern agentic AI systems — mapping controls, scoring risk, an
AI SAFE2 Secure Build Copilot embeds the AI SAFE2 v3.0 framework into conversational workflows to help builders design secure-by-default AI systems. It guides security architecture reviews, code reviews for agent-specific risks, agent classification by ACT tier, risk scoring (including AAF), and compliance mapping across many regulatory frameworks. The skill references 161 controls across five operational pillars plus cross-pillar governance.
Activate when designing or reviewing AI agents, multi-agent systems, RAG/CAG pipelines, MCP servers, or when auditing production incidents that involve agent behavior, prompt injection, or other AI-specific security concerns. Also used for compliance mapping (ISO 42001, NIST AI RMF, EU AI Act, SOC 2, HIPAA, etc.) and constructing governance evidence packages.
skills/mcp/ for live control lookup.Model-neutral guidance intended for use with Claude, OpenAI, Gemini, local models, and MCP servers. The skill includes tooling hooks for an MCP server when available.
This skill has not been reviewed by our automated audit pipeline yet.