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fund-summarizer Skill

AI Agent SkillJavaScriptOpen source

Use when summarizing a fund or ETF with Morningstar ratings, returns, risk, holdings, fees, and caveats. Published by openai in plugins.

Decision snapshot

Is this a fit?

Best for

Security review, Data analysis, Research, Includes SKILL.md

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-summarizer Skill?

Use when summarizing a fund or ETF with Morningstar ratings, returns, risk, holdings, fees, and caveats. 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
  • Security review
  • Data analysis
  • Research
  • Security review use cases
  • Data analysis use cases

Declared skill metadata

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

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

Built with

JavaScriptCopy skill directory

Editorial notes

Source

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

What it does

Use when summarizing a fund or ETF with Morningstar ratings, returns, risk, holdings, fees, and caveats.

Skill instructions

Fund Summarizer Create a concise fund summary or report 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, add outside research, 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. If the user asks for an equity or unsupported security, explain that this skill is fund-focused and ask for a supported fund. - Preserve Morningstar terminology for ratings, categories, benchmarks, and analyst research. Workflow For broad summaries, detailed reports, or any HTML report, read references/full-workflow.md before retrieving data. It preserves Morningstar's partner-authored datapoint map, missing-data rules, structured report inputs, and renderer contract. 1. Resolve the fund from ticker, name, or Morningstar identifier. Ask onl

Verified compatibility and discovery

Frequently asked questions

What is fund-summarizer?

fund-summarizer is a open-source AI agent skill with Copy skill directory. Use when summarizing a fund or ETF with Morningstar ratings, returns, risk, holdings, fees, and caveats.

Who is fund-summarizer best for?

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

How do I install fund-summarizer?

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

Is fund-summarizer actively maintained?

fund-summarizer 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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