azure-ai-ml-py
Pass
Audited by Gen Agent Trust Hub on Apr 22, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides documentation and snippets for the official 'azure-ai-ml' package. All operations described, including workspace management, data registration, model registry, and job submission, are standard functionalities of the SDK and do not exhibit malicious behavior.
- [SAFE]: Authentication is performed using 'DefaultAzureCredential' from the 'azure-identity' package, which is the recommended secure practice for Azure SDKs. It leverages environment variables for configuration and does not include hardcoded secrets or credentials.
- [SAFE]: External dependencies are restricted to well-known, official packages from Microsoft. There are no patterns of remote code execution from untrusted sources or attempts to exfiltrate data.
Audit Metadata