Retrieve chemical entities and biological roles from the ChEBI ontology.
npx skills add https://github.com/QSong-github/DrugClaw --skill chebi-query
Please help me install this Agent Skill. Skill: chebi-query Source: https://github.com/QSong-github/DrugClaw/tree/main/skills/drug_ontology/chebi Command: npx skills add https://github.com/QSong-github/DrugClaw --skill chebi-query
Retrieve accurate chemical-entity information from the ChEBI ontology, mapping user input to canonical entries and their biological context.
Look up aspirin by name to retrieve its ChEBI entry and related ontology data.
High-intent search queries and answers about installing and using this skill.
To retrieve ChEBI chemical entities and their biological roles, you can query using either a ChEBI ID or free-text input to fetch structured results including names, definitions, chemical data, and ontology relations.
Yes, you can submit multiple queries at once to perform a batch search in ChEBI. The system processes each query and returns structured results for every requested chemical entity.
You can look up a chemical compound like aspirin using a free-text query. The tool auto-detects the input type and performs a full-text search to return the matching ChEBI entry and its related ontology data.
A ChEBI lookup returns structured fields including chebi_accession, name, definition, chemical_data, default_structure, synonyms, ontology_relations, and cross-references for downstream reasoning.
No external dependencies are required to use the ChEBI query tool. It relies on the ChEBI 2.0 REST API natively, with an optional CLI library available for specific usage scenarios.
Mapping chemical entities to their biological roles and ontology relations allows you to identify canonical ChEBI entries and use their cross-references for downstream reasoning tasks, target mapping, and pathway exploration.
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