ncbi-datasets-skill

Submit compact NCBI Datasets v2 requests for assembly, genome, taxonomy, and related metadata endpoints. Use when a user wants concise NCBI Datasets summaries;…

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

Operating rules

  • Use scripts/ncbi_datasets.py for all Datasets v2 calls in this package.
  • Use explicit REST path values relative to https://api.ncbi.nlm.nih.gov/datasets/v2.
  • Prefer targeted metadata paths instead of broad unfiltered pulls.
  • 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 JSON or text 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.
  • Required field: path
  • Optional fields: params, record_path, response_format, max_items, max_depth, timeout_sec, save_raw, raw_output_path
  • Common Datasets patterns:
    • {"path":"genome/taxon/9606/dataset_report","params":{"page_size":10},"record_path":"reports","max_items":10}
    • {"path":"genome/accession/GCF_000001405.40/dataset_report"}
    • {"path":"taxonomy/taxon/9606"}

Output

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

Execution

echo '{"path":"genome/taxon/9606/dataset_report","params":{"page_size":10},"record_path":"reports","max_items":10}' | python scripts/ncbi_datasets.py

References

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