Analytics Reporter

Pass

Audited by Gen Agent Trust Hub on Aug 11, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill identifies as an analytics assistant and provides legitimate templates for common data science tasks such as RFM segmentation and marketing attribution. No security risks were identified in the instructions or code templates.
  • [EXTERNAL_DOWNLOADS]: The Python templates reference standard, well-known data science libraries including pandas, numpy, scikit-learn, matplotlib, and seaborn. These are expected dependencies for the skill's stated purpose.
  • [INDIRECT_PROMPT_INJECTION]: As a data analysis tool, the skill is designed to process external data from databases and dataframes. While this constitutes a data ingestion surface, it is fundamental to the skill's operation and no specific exploitable patterns were found.
Audit Metadata
Risk Level
SAFE
Analyzed
Aug 11, 2026, 05:24 AM
Security Audit — agent-trust-hub — Analytics Reporter