pandas-coder
Pass
Audited by Gen Agent Trust Hub on Mar 16, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill instructions and code snippets focus entirely on legitimate data science workflows using the pandas and numpy libraries.
- Snippets provide industry-standard methods for memory optimization, such as chunked reading, categorical type conversion, and downcasting.
- Vectorized operations and parquet usage are recommended for performance improvements.
- No obfuscation, hardcoded credentials, or unauthorized network activity were found.
- [INDIRECT_PROMPT_INJECTION]: The skill is designed to process data from external files, which constitutes a standard ingestion surface for this type of tool.
- Ingestion points: The skill uses
pd.read_csvandpd.read_parquetto load data from files inSKILL.md. - Boundary markers: None are present in the provided code snippets.
- Capability inventory: The skill has permissions for
Bashand fileWriteoperations. - Sanitization: The snippets do not demonstrate specific sanitization or validation of data content prior to processing.
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