ncbi-pmc-skill

Submit compact NCBI PMC Open Access requests for article/file availability metadata. Use when a user wants concise PMC Open Access summaries; save raw XML only…

npx skills add https://github.com/openai/plugins --skill ncbi-pmc-skill

Operating rules

  • Use scripts/ncbi_pmc.py for all PMC Open Access calls in this package.
  • This skill is intentionally narrow: it currently covers the PMC Open Access service rather than the full PMC API surface.
  • Pass endpoint-specific query parameters under params, typically id for a PMCID or DOI-style lookup supported by the OA service.
  • Re-run requests in long conversations instead of relying on older tool output.
  • Treat displayed ... in tool previews as UI truncation, not literal request content.

Execution behavior

  • Return concise markdown summaries from the script output by default.
  • Return raw XML only if the user explicitly asks for machine-readable output.
  • Prefer targeted endpoint calls instead of broad unfiltered dumps.
  • If the user needs the full raw response, set save_raw=true and report the saved file path.

Input

  • Read one JSON object from stdin.
  • Optional fields: params, record_path, max_items, max_depth, timeout_sec, save_raw, raw_output_path
  • Common PMC Open Access patterns:
    • {"params":{"id":"PMC3257301"},"max_items":10}
    • {"params":{"id":"10.1093/nar/gkr1184"},"max_items":10}

Output

  • Success returns ok, source, and a compact summary.
  • Use raw_output_path when save_raw=true.
  • Failure returns ok=false with error.code and error.message.

Execution

echo '{"params":{"id":"PMC3257301"},"max_items":10}' | python scripts/ncbi_pmc.py

References

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

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