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metabolights-skill

Find studies in MetaboLights, a database for research on metabolites, and retrieve study metadata by accession number. Receive concise Markdown summaries by default, with raw JSON available when you need machine-readable results.

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原文查看原文说明

Submit compact MetaboLights requests for study discovery and study-level metabolomics metadata. Use when a user wants concise MetaboLights summaries

查看安装方法

适用场景

  • Browse studies registered in MetaboLights
  • Look up a study by its MTBLS accession
  • Get a concise summary of study metadata
  • Retrieve study information as JSON for further processing

包含的文件(3)

  • SKILL.md1.8 KB
  • agents/openai.yaml100 B
  • scripts/rest_request.py10.5 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Operating rules

  • Use scripts/rest_request.py for all MetaboLights calls.
  • Use base_url=https://www.ebi.ac.uk/metabolights/ws.
  • Start with studies for archive browsing and studies/<MTBLS accession> for targeted records.
  • Keep study discovery narrow and paged rather than pulling very large pages.
  • 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: studies and studies/<MTBLS accession>.

Input

  • Read one JSON object from stdin.
  • Required fields: base_url, path
  • Optional fields: method, params, headers, json_body, form_body, record_path, response_format, max_items, max_depth, timeout_sec, save_raw, raw_output_path
  • Common MetaboLights patterns:
    • {"base_url":"https://www.ebi.ac.uk/metabolights/ws","path":"studies","record_path":"content","max_items":10}
    • {"base_url":"https://www.ebi.ac.uk/metabolights/ws","path":"studies/MTBLS1"}

Output

  • Success returns ok, source, path, method, status_code, warnings, and either compact records or a compact summary.
  • Use raw_output_path when save_raw=true.
  • Failure returns ok=false with error.code and error.message.

Execution

echo '{"base_url":"https://www.ebi.ac.uk/metabolights/ws","path":"studies","record_path":"content","max_items":10}' | python scripts/rest_request.py

References

  • No additional runtime references are required; keep the import package limited to this file and scripts/rest_request.py.

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