data-quality-frameworks
Pass
Audited by Gen Agent Trust Hub on Oct 4, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADSCOMMAND_EXECUTIONINDIRECT_PROMPT_INJECTION
Full Analysis
- [EXTERNAL_DOWNLOADS]: The skill includes instructions to install the
great_expectationslibrary from the Python Package Index (PyPI), which is a well-known and standard package registry. - [COMMAND_EXECUTION]: The skill provides standard CLI commands for initializing the Great Expectations framework and configuring data sources within the local environment.
- [INDIRECT_PROMPT_INJECTION]: The skill includes functionality to ingest and validate data from external warehouse tables.
- Ingestion points: Data batches retrieved from warehouse data assets (e.g.,
orders,customers) as defined inSKILL.mdandquality_pipeline.py. - Boundary markers: Data is processed as structured batches within the Great Expectations context; however, no explicit prompt delimiters are used when the agent generates the final markdown reports.
- Capability inventory: The skill supports generating markdown validation reports, raising Python exceptions to halt pipelines, and sending notifications via Slack webhooks.
- Sanitization: Validation results and observed data values are reported directly; the impact is constrained by the skill's primary focus on validation against predefined schema and value suites.
Audit Metadata