The Agent Skills Directory

Standard Library Dependencies: The skill utilizes well-known and reputable Python libraries, specifically numpy and pandas, to perform numerical calculations and data manipulation. These are standard tools in the financial and data science communities.
Local Data Processing: Analysis of the included scripts (dcf_model.py and sensitivity_analysis.py) confirms that all calculations are performed locally within the agent's environment. There are no network calls, external data exfiltration attempts, or unauthorized file system operations.
No Malicious Execution Patterns: The skill does not employ dynamic code execution (such as eval() or exec()), obfuscation techniques, or privilege escalation commands. The instructions are focused purely on the intended financial modeling functionality.

creating-financial-models