forecast-operational-metrics

Pass

Audited by Gen Agent Trust Hub on Mar 18, 2026

Risk Level: SAFECOMMAND_EXECUTIONEXTERNAL_DOWNLOADS
Full Analysis
  • [COMMAND_EXECUTION]: The skill uses the Bash tool to create Python virtual environments and install required dependencies as part of the setup procedure.- [EXTERNAL_DOWNLOADS]: Standard data science and monitoring libraries (prophet, statsmodels, pandas, prometheus-api-client, etc.) are installed via pip from the official Python Package Index (PyPI).- [SAFE]: Sensitive configuration parameters, such as the Grafana API key, are represented by documentation placeholders (e.g., 'YOUR_API_KEY'), preventing the accidental exposure of actual credentials.- [SAFE]: The code implements standard data loading and processing patterns for time-series forecasting. While 'disable_ssl=True' is used in the Prometheus connection example, this is a common practice for internal monitoring setups and is documented as part of the integration.- [SAFE]: No obfuscation, persistence mechanisms, or unauthorized network operations were identified in the skill scripts.
Audit Metadata
Risk Level
SAFE
Analyzed
Mar 18, 2026, 07:14 AM