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comps-analysis Skill

AI Agent SkillPythonOpen source

Build institutional-grade comparable company analyses with operating metrics, valuation multiples, and statistical benchmarking in Excel/spreadsheet format. Perfect for: - Public company valuation (M&A, investment analysis) - Benchmarking performance vs. industry peers - Pricing IPOs or funding rounds - Identifying val Published by anthropics in financial-services.

What is comps-analysis Skill?

Build institutional-grade comparable company analyses with operating metrics, valuation multiples, and statistical benchmarking in Excel/spreadsheet format. Perfect for: - Public company valuation (M&A, investment analysis) - Benchmarking performance vs. industry peers - Pricing IPOs or funding rounds - Identifying val Published by anthropics in financial-services. 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: anthropics
  • Repository: anthropics/financial-services
  • Skill file: plugins/agent-plugins/model-builder/skills/comps-analysis/SKILL.md

What it does

Build institutional-grade comparable company analyses with operating metrics, valuation multiples, and statistical benchmarking in Excel/spreadsheet format. Perfect for: - Public company valuation (M&A, investment analysis) - Benchmarking performance vs. industry peers - Pricing IPOs or funding rounds - Identifying val

Skill instructions

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. --- Overview This skill teaches Claude to build institutional-grade comparable company analyses that combine operating metrics, valuation multiples, and statistical benchmarking. The output is a structured Excel/sp

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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 institutional-grade comparable company analyses with operating metrics, valuation multiples, and statistical benchmarking in Excel/spreadsheet format.

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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Stars
33,477
Forks
4,938
Last commit
26 days ago
Repository age
5 months
License
Apache-2.0

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