data-science-notebooks
Warn
Audited by Gen Agent Trust Hub on Feb 16, 2026
Risk Level: MEDIUMEXTERNAL_DOWNLOADSREMOTE_CODE_EXECUTION
Full Analysis
- [Dynamic Execution] (MEDIUM): File
references/streamlit-advanced.mdcontains a code example usingpickle.load(open("model.pkl", "rb")). Deserializing data usingpickleis insecure and can lead to arbitrary code execution if the input file is malicious. - [Unverifiable Dependencies] (MEDIUM): Multiple files including
SKILL.md,references/sharing-publishing.md, andreferences/notebook-testing.mdrecommend installing packages such asnbstripout,pre-commit,nbval, andvoilausingpip installwithout specifying versions or verifying hashes, which presents a supply chain risk. - [Indirect Prompt Injection] (LOW): The skill is designed to ingest and process external data (e.g., CSV, Parquet, and text in
references/large-dataset-eda.mdandreferences/text-features.md). While the impact is primarily limited to local analysis context, the lack of sanitization or boundary markers for untrusted data poses a minor risk if the agent makes decisions based on the content of processed data. - [Data Exposure] (SAFE):
SKILL.mdcontains explicit security guidance and code examples (e.g., usingos.environ.get) instructing users never to hardcode secrets like API keys.
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