polars-dataframes

Pass

Audited by Gen Agent Trust Hub on Jul 10, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill provides documentation and code examples for using the Polars library, a high-performance tool for data manipulation. The content is purely educational and follows standard development practices.
  • [EXTERNAL_DOWNLOADS]: The skill mentions installing well-known Python packages including polars, connectorx, sqlalchemy, pandas, and numpy. It also illustrates how to fetch data from trusted cloud services like AWS S3, Google Cloud Storage, and Azure Blob Storage.
  • [DATA_EXFILTRATION]: Example code includes database connection URIs and cloud credential environment variables using generic placeholders such as user:pass and your_key. These are standard configuration examples and do not involve hardcoded credentials or unauthorized data transmission.
  • [SAFE]: The skill defines patterns for reading data from external files and databases. While ingesting external data is a vector for indirect prompt injection, this skill describes data analysis operations and does not contain instructions that would cause an agent to follow malicious commands embedded in the processed data.
Audit Metadata
Risk Level
SAFE
Analyzed
Jul 10, 2026, 03:35 PM
Security Audit — agent-trust-hub — polars-dataframes