dcf-model
Pass
Audited by Gen Agent Trust Hub on Oct 11, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTIONDYNAMIC_EXECUTION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill is designed to ingest data from external, untrusted sources including web searches, analyst reports, and SEC filings (documented in SKILL.md under 'Data Retrieval and Validation'). This ingested data is then interpolated into the Excel model and processed by the agent. There is a lack of explicit boundary markers or sanitization instructions to prevent the agent from potentially interpreting embedded instructions within these financial documents as its own directives.
- Ingestion points: External financial data from web searches and SEC filings (SKILL.md).
- Boundary markers: None provided in instructions.
- Capability inventory: File writing (xlsx via openpyxl), execution of local validation scripts (validate_dcf.py).
- Sanitization: None specified for external content.
- [DYNAMIC_EXECUTION]: The skill utilizes dynamic generation of executable content in the form of Excel formulas. Specifically, it instructs the agent to use Python loops and string interpolation to generate approximately 75 formulas for sensitivity analysis tables (SKILL.md under 'Sensitivity Analysis'). While these are standard Excel formulas, they represent a form of runtime-generated executable logic.
Audit Metadata