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comps-analysis Skill

AI Agent SkillPythonOpen source

Build comparable company analysis in Excel — operating metrics, valuation multiples, statistical benchmarking vs peer sets. Pairs with excel-author. Use for public-company valuation, IPO pricing, sector benchmarking, or outlier detection. Published by NousResearch in hermes-agent.

What is comps-analysis Skill?

Build comparable company analysis in Excel — operating metrics, valuation multiples, statistical benchmarking vs peer sets. Pairs with excel-author. Use for public-company valuation, IPO pricing, sector benchmarking, or outlier detection. Published by NousResearch in hermes-agent. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
100/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Security review
  • Data analysis
  • Research
  • Security review use cases
  • Data analysis use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use comps-analysis Skill

  • Use it for security review.
  • Use it for data analysis.
  • Use it for research.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: NousResearch
  • Repository: NousResearch/hermes-agent
  • Skill file: optional-skills/finance/comps-analysis/SKILL.md

What it does

Build comparable company analysis in Excel — operating metrics, valuation multiples, statistical benchmarking vs peer sets. Pairs with excel-author. Use for public-company valuation, IPO pricing, sector benchmarking, or outlier detection.

Skill instructions

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

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Frequently asked questions

What is comps-analysis?

comps-analysis is a open-source AI agent skill with Copy skill directory. Build comparable company analysis in Excel — operating metrics, valuation multiples, statistical benchmarking vs peer sets. Pairs with excel-author.

Who is comps-analysis best for?

comps-analysis is best for reusing agent instructions, scripts, and references, security review workflows, data analysis workflows, research workflows.

How do I install comps-analysis?

Install or run comps-analysis using Copy skill directory. Check comps-analysis for the latest setup command.

Is comps-analysis actively maintained?

comps-analysis may need a closer maintenance check before production use.

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214,436
Forks
39,858
Last commit
9 days ago
Repository age
1 year
License
MIT

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