comps-analysis

Installation
SKILL.md

Environment

This skill assumes headless openpyxl — you are producing an .xlsx file on disk. Follow the excel-author skill's conventions for cell coloring, formulas, named ranges, and sensitivity tables. Recalculate before delivery: python /path/to/excel-author/scripts/recalc.py ./out/model.xlsx.

Comparable Company Analysis

⚠️ CRITICAL: Data Source Priority (READ FIRST)

ALWAYS follow this data source hierarchy:

  1. FIRST: Check for MCP data sources - If S&P Kensho MCP, FactSet MCP, or Daloopa MCP are available, use them exclusively for financial and trading information
  2. DO NOT use web search if the above MCP data sources are available
  3. ONLY if MCPs are unavailable: Then use Bloomberg Terminal, SEC EDGAR filings, or other institutional sources
  4. NEVER use web search as a primary data source - it lacks the accuracy, audit trails, and reliability required for institutional-grade analysis

Why this matters: MCP sources provide verified, institutional-grade data with proper citations. Web search results can be outdated, inaccurate, or unreliable for financial analysis.

Installs
4
GitHub Stars
186.9K
First Seen
May 10, 2026
comps-analysis — nousresearch/hermes-agent