data-analysis-jupyter
Pass
Audited by Gen Agent Trust Hub on Oct 9, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTION
Full Analysis
- [SAFE]: The skill instructions and code examples adhere to standard software development practices for data science. No suspicious activities or security risks were identified.\n- [INDIRECT_PROMPT_INJECTION]: The skill provides instructions for processing external datasets, which constitutes a potential attack surface for indirect prompt injection.\n
- Ingestion points: The skill instructions mention reading external files using
pd.read_csvinSKILL.md.\n - Boundary markers: No explicit instructions for using delimiters or boundary markers to isolate data from instructions are provided.\n
- Capability inventory: The skill is scoped to standard data analysis; no dangerous capabilities like network exfiltration or arbitrary shell execution tools are utilized.\n
- Sanitization: The skill recommends robust data validation practices, including checking data types, array shapes, and column presence, which helps maintain data integrity.
Audit Metadata