The Agent Skills Directory

[Data Ingestion Framework]: The skill involves processing financial data from institutional sources (such as SEC filings and financial data platforms). This ingestion is a standard part of the financial analysis process.
Ingestion points: Data is sourced from institutional providers or regulatory filings as specified in the 'Data Source Priority' section.
Boundary markers: No specific delimiters for data/instruction separation are mentioned, which is common for specialized financial tools.
Capability inventory: The skill utilizes file-writing capabilities through Office JS or Python libraries to create analytical reports.
Sanitization: Content is structured via predefined templates which inherently organizes the external data.
[Spreadsheet Generation Logic]: The instructions include logic for generating Excel files using standard libraries. This is a functional requirement for building comparable company analyses.
Evidence: The 'Environment — Office JS vs Python' section provides implementation details for writing formulas and formatting cells using openpyxl or Office JS.
[Audit and Transparency Standards]: The skill incorporates security best practices by requiring citations for all hardcoded inputs and emphasizing transparent formulas. This approach supports data integrity and allows for easy verification of the generated output.
Evidence: Detailed instructions in 'Section 6: Best Practices' and the 'Output Checklist' mandate source documentation and cell comments.

comps-analysis