creating-financial-models
Pass
Audited by Gen Agent Trust Hub on Sep 19, 2026
Risk Level: SAFENO_CODEINDIRECT_PROMPT_INJECTION
Full Analysis
- [SAFE]: The documentation does not contain any malicious patterns, prompt injections, or obfuscated code. The described functionality for DCF analysis, sensitivity testing, and Monte Carlo simulations is standard for financial modeling tools.
- [NO_CODE]: The skill references two script files,
dcf_model.pyandsensitivity_analysis.py, which are intended to provide the core modeling logic. However, the source code for these scripts was not included in the provided analysis set. - [INDIRECT_PROMPT_INJECTION]: The skill is designed to ingest external financial data (historical statements and assumptions) to generate valuations and reports.
- Ingestion points: Financial statements and growth assumptions listed in the "Input Requirements" section of
SKILL.md. - Boundary markers: No explicit delimiter or "ignore embedded instructions" warnings are present in the documentation.
- Capability inventory: The skill uses Python scripts to perform calculations and generates output in formats such as Excel workbooks.
- Sanitization: No specific sanitization or validation logic for external financial data is described.
Audit Metadata