pytdc
Pass
Audited by Gen Agent Trust Hub on Jun 21, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill serves as a wrapper and documentation hub for the PyTDC library. It provides templates for loading datasets, evaluating benchmarks, and generating molecules using molecular oracles. All external links point to official Therapeutics Data Commons resources (tdcommons.ai, readthedocs.io, and the Harvard MIMS GitHub organization).
- [EXTERNAL_DOWNLOADS]: The skill recommends installing the 'PyTDC' package via pip. This is a well-known, legitimate library in the bioinformatics and machine learning communities. No untrusted or suspicious sources were identified.
- [DATA_EXPOSURE]: There is no evidence of hardcoded credentials, access to sensitive local file paths (e.g., .ssh, .aws), or unauthorized data exfiltration patterns.
- [PROMPT_INJECTION]: The instructions focus purely on the technical usage of the PyTDC library. No attempts to override agent behavior, bypass safety filters, or extract system prompts were found.
- [COMMAND_EXECUTION]: The provided scripts are standard Python templates for data science workflows using libraries like pandas, numpy, and tdc. No dangerous subprocess calls or shell command injections were detected.
Audit Metadata