looker-studio-bigquery

Pass

Audited by Gen Agent Trust Hub on Jul 16, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill consists of instructional text and code snippets for Google Cloud Platform. It uses official Google documentation and well-known technology resources as references.
  • [COMMAND_EXECUTION]: Provides standard gcloud CLI commands for project creation and service enablement. These are intended for the user to execute in their own environment for initial setup.
  • [PROMPT_INJECTION]: The skill uses parameterized SQL (e.g., @selected_country) and Google Apps Script configuration objects. This follows security best practices for handling external input in data environments to prevent SQL injection.
  • Ingestion points: SQL variables in Step 5 and request.configParams in Step 7.
  • Boundary markers: Native BigQuery parameterization is used in SQL examples.
  • Capability inventory: SQL query execution via BigQuery connector; JavaScript execution within the Google Apps Script environment.
  • Sanitization: Relies on the host platform's (Google BigQuery/Looker Studio) native parameter handling.
Audit Metadata
Risk Level
SAFE
Analyzed
Jul 16, 2026, 09:10 AM
Security Audit — agent-trust-hub — looker-studio-bigquery