ai-data-integration

The AI Data Integration Skill presents a coherent, security-conscious framework for integrating AI with data platforms. Its scope, access patterns, and governance emphasis align with the stated purpose of enabling NL-to-SQL, MCP-style data access, and embeddings within tightly controlled, auditable, read-only contexts. There are no evident supply-chain download/execution patterns, unverifiable binaries, or credential-forwarding behaviors. The highest risks relate to potential misconfigurations or misuse of data access patterns rather than intrinsic malice or exfiltration. Overall, the footprint is proportionate to the described purpose, with a strong emphasis on least privilege, progressive trust, and human-in-the-loop controls.