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comps Skill

AI Agent SkillJavaScriptOpen source

Trading comparables analysis with peer multiples and implied valuation Published by openai in plugins.

Decision snapshot

Is this a fit?

Best for

Data analysis, Design and media, Includes SKILL.md, Reusable instructions

Works with

Compatibility not yet detected.

Access

Permission behavior not yet detected.

Setup

Copy skill directory

Project health

19 days ago

Considerations

No specific cautions were detected. Review the source and requested permissions before installing.

What is comps Skill?

Trading comparables analysis with peer multiples and implied valuation Published by openai in plugins. 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
92/100

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

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Data analysis
  • Design and media
  • Data analysis use cases
  • Design and media use cases

Declared skill metadata

  • Source file: plugins/daloopa/skills/comps/SKILL.md

These fields retain source and confidence evidence from the indexed SKILL.md.

Compatibility and setup

Copy skill directory
  • Install or run with Copy skill directory

When to use comps Skill

  • Use it for data analysis.
  • Use it for design and media.

Built with

JavaScriptCopy skill directory

Editorial notes

Source

  • Creator: openai
  • Repository: openai/plugins
  • Skill file: plugins/daloopa/skills/comps/SKILL.md

What it does

Trading comparables analysis with peer multiples and implied valuation

Skill instructions

Build a trading comparables analysis for the company named in the user's request. If no ticker or company is provided, ask for one before proceeding. Before starting, read ../data-access.md for data access methods and ../design-system.md for formatting conventions. Follow the data access detection logic and design system throughout this skill. Follow these steps: 1. Company Lookup Look up the company by ticker using discovercompanies. Capture: - companyid - latestcalendarquarter — anchor for all period calculations below (see ../data-access.md Section 1.5) - latestfiscalquarter - Firm name for report attribution (default: "Daloopa") — see ../data-access.md Section 4.5 2. Identify Peer Group Based on the company's business model, sector, size, and competitive landscape, identify 5-10 comparable companies. Consider: - Direct competitors in the same market - Business model peers (similar revenue model even if different sector) - Size peers (similar market cap range) - Growth profile peers

Verified compatibility and discovery

Frequently asked questions

What is comps?

comps is a open-source AI agent skill with Copy skill directory. Trading comparables analysis with peer multiples and implied valuation

Who is comps best for?

comps is best for reusing agent instructions, scripts, and references, data analysis workflows, design and media workflows.

How do I install comps?

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

Is comps actively maintained?

comps may need a closer maintenance check before production use.

Share:

Stars
5,140
Forks
717
Last commit
19 days ago
Last verified
Aug 25, 2026
Metadata fetched
Aug 25, 2026
Repository age
6 months
License
Unknown

Project health auto-fetched from the source repository.

Maintain this resource?

Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.

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