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fund-comparison Skill

AI Agent SkillJavaScriptOpen source

Use when comparing 2 to 4 funds or ETFs with Morningstar ratings, returns, risk, and holdings data. Published by openai in plugins.

Decision snapshot

Is this a fit?

Best for

Data analysis, 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 fund-comparison Skill?

Use when comparing 2 to 4 funds or ETFs with Morningstar ratings, returns, risk, and holdings data. 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
  • Data analysis use cases

Declared skill metadata

  • Source file: plugins/morningstar/skills/fund-comparison/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 fund-comparison Skill

  • Use it for data analysis.

Built with

JavaScriptCopy skill directory

Editorial notes

Source

  • Creator: openai
  • Repository: openai/plugins
  • Skill file: plugins/morningstar/skills/fund-comparison/SKILL.md

What it does

Use when comparing 2 to 4 funds or ETFs with Morningstar ratings, returns, risk, and holdings data.

Skill instructions

Fund Comparison Compare 2 to 4 funds side by side using the connected Morningstar app as the data source. Guardrails - Use only data returned by the Morningstar app in the current session. - Do not infer, backfill, rank suitability, predict performance, or give investment advice. - Show unavailable values as N/A and distinguish missing data from tool failure. - Supported investment types are ETFs, open-end funds, and closed-end funds. Exclude unsupported securities and explain why. - If funds span broad asset classes, stop and ask for comparable funds instead of mixing incompatible metrics. Workflow Before running a real comparison, read references/full-workflow.md. It preserves Morningstar's partner-authored rules for fund resolution, exclusions, datapoints, broad-asset-class checks, holdings overlap, disclosures, and table formats. 1. Resolve each ticker, name, or identifier to the intended Morningstar fund. Ask only if the result is ambiguous. 2. Validate that 2 to 4 active supporte

Verified compatibility and discovery

Frequently asked questions

What is fund-comparison?

fund-comparison is a open-source AI agent skill with Copy skill directory. Use when comparing 2 to 4 funds or ETFs with Morningstar ratings, returns, risk, and holdings data.

Who is fund-comparison best for?

fund-comparison is best for reusing agent instructions, scripts, and references, data analysis workflows.

How do I install fund-comparison?

Install or run fund-comparison using Copy skill directory. Check fund-comparison for the latest setup command.

Is fund-comparison actively maintained?

fund-comparison may need a closer maintenance check before production use.

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Stars
5,140
Forks
717
Last commit
19 days ago
Last verified
Aug 24, 2026
Metadata fetched
Aug 24, 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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