exploratory-data-analysis
Pass
Audited by Gen Agent Trust Hub on Oct 16, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTION
Full Analysis
- [SAFE]: The skill consists of purely instructional content and standard code snippets for data science workflows. All operations are local and use well-established open-source libraries.\n- [INDIRECT_PROMPT_INJECTION]: The skill processes data from external files, which represents a potential attack surface for indirect prompt injection.\n
- Ingestion points: The code in
SKILL.mdreads data from a local file nameddata.csv.\n - Boundary markers: No explicit delimiters or instructions to ignore embedded commands are present in the examples.\n
- Capability inventory: The code is restricted to statistical analysis and visualization using
pandas,numpy,matplotlib, andseaborn. No network access, subprocess execution, or file-writing capabilities are requested or demonstrated.\n - Sanitization: The examples do not include input sanitization, which is typical for basic data analysis scripts.
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