gnomad-graphql-skill
द्वारा openai
gnomAD के लिए संक्षिप्त GraphQL अनुरोध सबमिट करें, जो आवृत्ति, जीन बाधा और वेरिएंट संदर्भ क्वेरी के लिए हो। उपयोग तब करें जब उपयोगकर्ता संक्षिप्त gnomAD सारांश चाहता हो।
npx skills add https://github.com/openai/plugins --skill gnomad-graphql-skillOperating rules
- Use
scripts/gnomad_graphql.pyfor all gnomAD GraphQL work. - For nested GraphQL results, start with
max_items=3to5. - Keep selection sets narrow and page or filter at the query level instead of asking for broad dumps.
- Use
query_pathfor 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=trueand report the saved file path.
Input
- Read one JSON object from stdin.
- Required field:
queryorquery_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 compactsummary, andraw_output_pathwhensave_raw=true. - Failure returns
ok=falsewitherror.codesuch asinvalid_json,invalid_input,network_error,invalid_response, orgraphql_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.