data-quality-frameworks

Pass

Audited by Gen Agent Trust Hub on Sep 14, 2026

Risk Level: SAFEINDIRECT_PROMPT_INJECTIONEXTERNAL_DOWNLOADS
Full Analysis
  • [INDIRECT_PROMPT_INJECTION]: The skill processes validation results from external data sources and includes specific data values in its output reports and notifications.
  • Ingestion points: The generate_report method in quality_pipeline.py and the Slack notification action in orders_checkpoint.yml consume observed_value data from dataset validation results.
  • Boundary markers: Absent; external data values are interpolated directly into the markdown report and Slack message strings.
  • Capability inventory: The skill generates reports for the agent's context and can send external notifications via Slack.
  • Sanitization: Absent; values retrieved from the data source are not escaped or validated before being included in the reports.
  • [EXTERNAL_DOWNLOADS]: Fetches and installs the great_expectations package, which is a standard, well-known framework for data quality validation.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 14, 2026, 12:59 PM