load-testing
Pass
Audited by Gen Agent Trust Hub on Sep 17, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill facilitates the setup and execution of performance benchmarks using industry-standard tools. It handles sensitive Databricks credentials (Client ID and Secret) through secure methods like environment variables and user prompts during initialization, rather than hardcoding them.
- [SAFE]: External dependencies, including
locust,mlflow,pandas, andrequests, are widely recognized and trusted packages for testing and data analysis. The skill specifies version ranges that are consistent with stable releases. - [SAFE]: Network communication is limited to user-defined Databricks workspace endpoints and the official Databricks authentication service. There are no indications of data exfiltration to unauthorized third-party domains.
- [SAFE]: The provided code samples for Locust load testing and MLflow validation perform expected developer tasks without obfuscation, malicious persistence, or unauthorized privilege escalation. The logic for mock responses is isolated for testing purposes and contains no hidden executable content.
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