rhea-skill
par openai
Soumettre des requêtes de recherche compactes de réactions Rhea pour des réactions biochimiques et des identifiants de réaction. Utiliser lorsque l'utilisateur souhaite des résumés concis de Rhea.
npx skills add https://github.com/openai/plugins --skill rhea-skillOperating rules
- Use
scripts/rest_request.pyfor all Rhea calls. - Use
base_url=https://www.rhea-db.org. - Start with the
rheasearch endpoint plusformat=json. - Keep queries narrow by reaction ID, compound name, EC number, or free-text reaction term.
- 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 these patterns: reaction search by
query, targeted ID search viaquery=RHEA:<id>, and small result windows.
Input
- Read one JSON object from stdin.
- Required fields:
base_url,path - Optional fields:
method,params,headers,json_body,form_body,record_path,response_format,max_items,max_depth,timeout_sec,save_raw,raw_output_path - Common Rhea patterns:
{"base_url":"https://www.rhea-db.org","path":"rhea","params":{"query":"caffeine","format":"json"},"record_path":"results","max_items":10}{"base_url":"https://www.rhea-db.org","path":"rhea","params":{"query":"RHEA:47148","format":"json"},"record_path":"results","max_items":5}
Output
- Success returns
ok,source,path,method,status_code,warnings, and either compactrecordsor a compactsummary. - Use
raw_output_pathwhensave_raw=true. - Failure returns
ok=falsewitherror.codeanderror.message.
Execution
echo '{"base_url":"https://www.rhea-db.org","path":"rhea","params":{"query":"caffeine","format":"json"},"record_path":"results","max_items":10}' | python scripts/rest_request.py
References
- No additional runtime references are required; keep the import package limited to this file and
scripts/rest_request.py.