civic-skill
par openai
Soumettre des requêtes GraphQL CIViC compactes pour l'inspection du schéma d'interprétation des variants du cancer et la récupération ciblée de preuves. Utiliser lorsqu'un utilisateur souhaite un CIViC concis…
npx skills add https://github.com/openai/plugins --skill civic-skillOperating rules
- Use
scripts/civic_graphql.pyfor all CIViC GraphQL work. - Keep selection sets narrow and start with schema or targeted entity queries.
- Use
query_pathfor longer GraphQL documents instead of pasting large inline queries. - 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 sanity, schema, and targeted evidence queries over broad graph dumps.
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 CIViC patterns:
{"query":"query { __typename }"}{"query":"query { __schema { queryType { fields { name } } } }","max_items":20}
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 { __typename }"}' | python scripts/civic_graphql.py
References
- No additional runtime references are required; keep the import package limited to this file and
scripts/civic_graphql.py.