spend-analysis
Pass
Audited by Gen Agent Trust Hub on Sep 20, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill is designed to ingest and process external data files (CSV, Excel) provided by the user, which presents an attack surface for indirect prompt injection.
- Ingestion points: The
extract_spend_datafunction inSKILL.mdreads from user-provided file paths or dataframes usingpd.read_csvandpd.read_excel. - Boundary markers: The instructions do not define delimiters or specific warnings to ignore instructions that might be embedded within the spend data files.
- Capability inventory: The skill's scripts utilize pandas, scikit-learn, and matplotlib for analysis and visualization. No file writing, network operations, or shell command execution capabilities are present in the provided code.
- Sanitization: The
clean_spend_datafunction performs standardization of supplier names and date/amount parsing, but does not filter for potential prompt injection payloads in text fields like descriptions.
Audit Metadata