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gnomad-graphql-skill

Submit compact gnomAD GraphQL requests for frequency, gene constraint, and variant context queries. Use when a user wants concise gnomAD summaries

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SKILL.md
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Operating rules

  • Use scripts/gnomad_graphql.py for all gnomAD GraphQL work.
  • For nested GraphQL results, start with max_items=3 to 5.
  • Keep selection sets narrow and page or filter at the query level instead of asking for broad dumps.
  • Use query_path for long GraphQL documents instead of pasting large inline queries.
  • Re-run requests in long conversations instead of relying on earlier tool output.
  • Treat displayed ... in tool previews as UI truncation, not part of the real query.

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 targeted queries for variant frequency, gene constraint, or transcript consequence context.
  • If the user needs the full payload, set save_raw=true and report the saved file path.

Input

  • Read one JSON object from stdin.
  • Required field: query or query_path
  • Optional fields: variables, max_items, max_depth, timeout_sec, save_raw, raw_output_path
  • Common gnomAD patterns:
    • {"query":"query { meta { clinvar_release_date } }"}
    • {"query":"query Variant($variantId: String!, $dataset: DatasetId!) { variant(variantId: $variantId, dataset: $dataset) { variantId genome { ac an af } } }","variables":{"variantId":"1-55516888-G-GA","dataset":"gnomad_r4"},"max_items":3}

Output

  • Success returns ok, source, top_keys, a compact summary, and raw_output_path when save_raw=true.
  • Failure returns ok=false with error.code such as invalid_json, invalid_input, network_error, invalid_response, or graphql_error.

Execution

echo '{"query":"query { meta { clinvar_release_date } }"}' | python scripts/gnomad_graphql.py

References

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