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fund-screener Skill

AI Agent SkillJavaScriptOpen source

Use when screening funds or ETFs by Morningstar category, ratings, fees, assets, returns, or risk. 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

20 days ago

Considerations

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

What is fund-screener Skill?

Use when screening funds or ETFs by Morningstar category, ratings, fees, assets, returns, or risk. 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-screener/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-screener 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-screener/SKILL.md

What it does

Use when screening funds or ETFs by Morningstar category, ratings, fees, assets, returns, or risk.

Skill instructions

Fund Screener Screen funds 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 missing values, create synthetic scores, predict performance, or give investment advice. - Show unavailable values as N/A and distinguish missing data from tool failure. - Supported universes are ETFs, open-end funds, and closed-end funds. - Treat filters as AND logic unless the user explicitly asks for alternatives; run separate passes for OR logic and deduplicate results. Workflow Before running a real screen, read references/full-workflow.md. It preserves Morningstar's partner-authored rules for criteria confirmation, normalization, datapoints, result validation, output tables, disclosures, and follow-up suggestions. 1. Collect the screening criteria in one pass: universe, category, medalist rating, star rating, expense ratio, assets, and any user-specified filters. 2. Normalize user terms against Morning

Verified compatibility and discovery

Frequently asked questions

What is fund-screener?

fund-screener is a open-source AI agent skill with Copy skill directory. Use when screening funds or ETFs by Morningstar category, ratings, fees, assets, returns, or risk.

Who is fund-screener best for?

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

How do I install fund-screener?

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

Is fund-screener actively maintained?

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

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Stars
5,140
Forks
717
Last commit
20 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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