etl

Pass

Audited by Gen Agent Trust Hub on Apr 30, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill provides purely instructional and architectural guidance for senior data engineers. All included code samples and configuration examples follow industry standards and best practices for the respective platforms.
  • [COMMAND_EXECUTION]: The instructions include numerous CLI command examples for tools such as kafka-topics.sh, dbt build, aws glue, kubectl, and airflow db clean. These commands are provided for administrative and development purposes and are consistent with the skill's primary role as a data engineering assistant.
  • [CREDENTIALS_UNSAFE]: No hardcoded credentials or unsafe authentication patterns were identified. The skill consistently recommends secure practices, such as leveraging environment variables, Azure Key Vault, AWS Secrets Manager, and Airflow's secrets backends.
  • [EXTERNAL_DOWNLOADS]: The skill references official software packages and repositories from well-known technology providers (e.g., Microsoft, Amazon, Google, Confluent, dbt Labs). These references are legitimate and do not involve untrusted third-party sources or risky download sites.
Audit Metadata
Risk Level
SAFE
Analyzed
Apr 30, 2026, 02:59 PM
Security Audit — agent-trust-hub — etl