The Agent Skills Directory

[Data Ingestion Surface]: The skill is designed to retrieve and process financial information from external sources such as SEC filings, analyst reports, and web searches. While this is the primary function of the tool, processing untrusted external content is a known surface for indirect prompt injection. The skill mitigates this by focusing on structured data extraction and mathematical modeling rather than direct instruction execution from external data.
[Network Operations]: The skill utilizes established Python libraries like yfinance and requests to fetch market data. These operations are directed towards well-known financial data providers and are essential for the skill's intended purpose of real-time valuation.
[Automated Model Construction]: The skill generates Excel files programmatically using openpyxl. It emphasizes the use of live formulas rather than hardcoded values, which ensures transparency and allows users to audit the financial logic within the resulting spreadsheet.
[Validation and Error Handling]: The inclusion of a dedicated validation script (validate_dcf.py) and instructions to use a recalculation tool demonstrate a focus on output quality and safety, ensuring that generated files are free of common Excel errors and are mathematically sound.

dcf-model