databricks-common-errors

Overall, the skill is aligned with its stated purpose of diagnosing and guiding fixes for Databricks errors. It relies on official Databricks tooling and documented remediation steps, with no explicit credential harvesting, hidden network calls, or autonomous destructive actions. The risk profile is low to moderate due to potential misconfigurations (permissions, cluster settings) that could impact data access or costs if misused, but the design and data flows remain appropriate for a diagnostic helper.