great-expectations

Pass

Audited by Gen Agent Trust Hub on Oct 9, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill implements standard data validation patterns using the well-known great_expectations Python library. It follows best practices for expectation suite creation and validation workflows.
  • [EXTERNAL_DOWNLOADS]: The skill specifies dependencies on great_expectations and pandas. Both are reputable, industry-standard libraries widely used in the data science community.
  • [INDIRECT_PROMPT_INJECTION]: While the skill processes external data (DataFrames) and configuration dictionaries, it lacks dangerous capabilities such as arbitrary command execution, network exfiltration, or unsanitized file writing, posing no significant risk for indirect injection attacks.
Audit Metadata
Risk Level
SAFE
Analyzed
Oct 9, 2026, 12:28 AM