Agent skill · Databases

chebi-query

Query the ChEBI (Chemical Entities of Biological Interest) database. Use whenever the user asks about small molecule identifiers, chemical ontology roles, molecular formulae, SMILES, InChI, synonyms, or cross-references for biologically relevant chemical compounds via ChEBI.

BioTender-maxgithub.com/BioTender-maxGitHub ↗
claude-codeships scriptsNOASSERTION
Install
npx skills add BioTender-max/awesome-bio-agent-skills --skill chebi --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 6
SKILL.md size: 3 KB
Bundled scripts: yes
Path: skills/drugclaw/chebi/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 135
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# ChEBI Query Skill Search the ChEBI 2.0 REST API by any entity. Auto-detects input type: | Input Pattern | Detected As | Action | |---|---|---| | `CHEBI:15422` / `chebi:15422` | ChEBI ID (prefixed) | full entity lookup via `/compound/{id}/` | | `27732` (pure digits ≤7) | ChEBI ID (numeric) | full entity lookup via `/compound/{id}/` | | anything else | free text | Elasticsearch search via `/es_search/?term=...` | ## API | Function | Input | Returns | |---|---|---| | `search(query, max_results=25)` | single entity string | `list[dict]` | | `search_batch(queries, max_results=25)` | list of entity strings | `dict[str, list[dict]]` | | `summarize(results, label)` | result list + label | compact one-line-per-hit text | | `to_json(results)` | result list | `list[dict]` (JSON-serialisable) | Lower-level helpers (called internally): | Function | Purpose | |---|---| | `search_chebi(query, max_results)` | keyword search via `GET /es_search/?term=...&size=N` | | `get_entity(chebi_id)` | full entity via `GET /compound/CHEBI:{id}/` | | `get_entities_batch(chebi_ids)` | batch lookup via `GET /compounds/?chebi_ids=id1,id2,...` | `search_batch()` automatically uses the efficient batch endpoint whe

What's inside
Steps it walks through
  1. API
  2. Usage
  3. Key Fields Returned
  4. Data Source
Ships with 5 files
  • README.md
  • __init__.py
  • chebi_skill.py
  • example.py
  • retrieve.py
More from awesome-bio-agent-skills
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About this skill
What does the chebi-query skill do?

Query the ChEBI (Chemical Entities of Biological Interest) database. Use whenever the user asks about small molecule identifiers, chemical ontology roles, molecular formulae, SMILES, InChI, synonyms, or cross-references for biologically relevant chemical compounds via ChEBI.

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill chebi --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From BioTender-max/awesome-bio-agent-skills, a repository with 135 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going