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eva-skill

AI Agent SkillJavaScriptOpen source

Submit compact EVA REST requests for species metadata and archived variant lookups. Use when a user wants concise European Variation Archive summaries Published by openai in plugins.

Decision snapshot

Is this a fit?

Best for

Documentation, 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 eva-skill?

Submit compact EVA REST requests for species metadata and archived variant lookups. Use when a user wants concise European Variation Archive summaries 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
  • Documentation
  • Documentation use cases

Declared skill metadata

  • Source file: plugins/life-science-research/skills/eva-skill/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 eva-skill

  • Use it for documentation.

Built with

JavaScriptCopy skill directory

Editorial notes

Source

  • Creator: openai
  • Repository: openai/plugins
  • Skill file: plugins/life-science-research/skills/eva-skill/SKILL.md

What it does

Submit compact EVA REST requests for species metadata and archived variant lookups. Use when a user wants concise European Variation Archive summaries

Skill instructions

Operating rules - Use scripts/restrequest.py for all EVA calls. - Use baseurl=https://www.ebi.ac.uk/eva/webservices/rest/v1. - Prefer metadata and targeted variant lookups over broad genomic window pulls. - Keep region queries narrow by species, assembly, or small coordinate windows when possible. - Re-run requests in long conversations instead of relying on older tool output. Execution behavior - Return concise markdown summaries from the script JSON by default. - Return raw JSON only if the user explicitly asks for machine-readable output. - Prefer these paths: meta/species/list and targeted variant or region routes from the EVA REST API. Input - Read one JSON object from stdin. - Required fields: baseurl, path - Optional fields: method, params, headers, jsonbody, formbody, recordpath, responseformat, maxitems, maxdepth, timeoutsec, saveraw, rawoutputpath - Common EVA patterns: - {"baseurl":"https://www.ebi.ac.uk/eva/webservices/rest/v1","path":"meta/species/list","recordpath":"respo

Verified compatibility and discovery

Frequently asked questions

What is eva-skill?

eva-skill is a open-source AI agent skill with Copy skill directory. Submit compact EVA REST requests for species metadata and archived variant lookups. Use when a user wants concise European Variation Archive summaries

Who is eva-skill best for?

eva-skill is best for reusing agent instructions, scripts, and references, documentation workflows.

How do I install eva-skill?

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

Is eva-skill actively maintained?

eva-skill may need a closer maintenance check before production use.

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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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