agent-platform-eval-flywheel
Pass
Audited by Gen Agent Trust Hub on Aug 20, 2026
Risk Level: SAFECOMMAND_EXECUTIONEXTERNAL_DOWNLOADS
Full Analysis
- Command Execution: The skill uses
subprocess.runto invoke official Google Cloud CLI tools, such asgcloudandgsutil. This is the standard method for obtaining authentication tokens and accessing data stored in Google Cloud Storage within a Cloud environment. - External Dependencies: The skill requires several external Python libraries, including
google-cloud-aiplatform,google-genai,pandas, andrequests. These are well-known, official, or widely trusted packages necessary for the skill's evaluation and data handling functions. - Data Ingestion: The skill processes external datasets for evaluation purposes by reading conversation traces and tabular data from various sources, including remote cloud storage. This is a core function of the evaluation flywheel methodology described and is handled through the provided SDKs.
- Remote Evaluation: Certain metrics involve remote execution in a sandboxed environment on the Google Cloud Agent Platform. This is a documented feature of the SDK designed to provide consistent and isolated evaluation across different environments.
Audit Metadata