data-analysis
Pass
Audited by Gen Agent Trust Hub on Jul 10, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: No security issues detected. The skill focuses on standard data analysis tasks using well-known, reputable Python libraries.
- [SAFE]: The skill includes a dedicated data quality validation script (
scripts/validate_dataset.py) to inspect datasets before processing, which reduces the risk of processing malformed or malicious data. - [SAFE]: Explicit privacy awareness guidelines are provided in the
references/data-cleaning-guide.mdfile, instructing the agent to detect and warn users about potential Personally Identifiable Information (PII) like emails and SSNs. - [EXTERNAL_DOWNLOADS]: The skill suggests the installation of standard data science libraries (pandas, numpy, seaborn, plotly, scipy, scikit-learn) if they are missing from the environment. These are industry-standard packages from trusted registries.
- [PROMPT_INJECTION]: While the skill processes untrusted external data files (CSV, JSON, Excel, SQL), it includes instructions for validation and sanity checks that mitigate the risks associated with indirect prompt injection surfaces.
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