Open Targets Platform Query Skill

SkillDev tools

Query the Open Targets Platform for drug-target-disease associations. Use whenever the user asks about drug targets, gene-disease associations, drug indications, clinical trial phases, or wants to look up any entity (Ensembl gene ID, ChEMBL drug ID, or free-text gene/drug name) in Open Targets. Also trigger when the user mentions Open Targets, ENSG IDs, CHEMBL IDs, or asks about target prioritization for diseases.

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Open Targets Platform Query Skill skill

What this skill tells your AI

The instructions your AI receives, as published by qsong-github/drugclaw in skills/dti/open_targets/SKILL.md and read by ahel’s review.

Query the Open Targets GraphQL API for drug, target, and disease association data. No API key required.

Entity Auto-Detection

Input Pattern	Detected As	Example
`ENSG00000...`	Target (Ensembl gene ID)	`ENSG00000146648` (EGFR)
`CHEMBL...`	Drug (ChEMBL ID)	`CHEMBL941` (Imatinib)
anything else	Free-text search	`BRCA1`, `aspirin`

API

Function	Input	Returns
`query(entity)`	single entity string	dict with type, name, associations
`query_batch(entities)`	list of entity strings	list[dict]
`summarize(result)`	query result dict	compact one-line text
`get_target_info(ensembl_id)`	Ensembl ID string	raw GraphQL response
`get_drug_info(chembl_id)`	ChEMBL ID string	raw GraphQL response
`search_entities(term)`	free-text string	raw GraphQL response

Return Format

Target result:

{"entity": "ENSG00000146648", "type": "target", "found": true,
 "symbol": "EGFR", "name": "epidermal growth factor receptor",
 "biotype": "protein_coding",
 "top_diseases": [{"disease": "lung carcinoma", "score": 0.78}]}

Drug result:

{"entity": "CHEMBL941", "type": "drug", "found": true,
 "name": "IMATINIB", "drug_type": "Small molecule",
 "max_phase": 4,
 "indications": [{"disease": "chronic myeloid leukemia", "phase": 4}]}

Search result:

{"entity": "BRCA1", "type": "search", "found": true,
 "hits": [{"id": "ENSG00000012048", "name": "BRCA1", "entity_type": "target"}]}

Usage

See if __name__ == "__main__" block in 12_Open_Targets_Platform.py for runnable examples covering: single target/drug/search query, batch query, and JSON output.

Source

Endpoint: https://api.platform.opentargets.org/api/v4/graphql
Docs: https://platform.opentargets.org/
Paper: https://doi.org/10.1093/nar/gkac1046

Signals

GitHub stars: 116
Forks: 3
Last commit: Aug 2026

Advanced

Item type: skill
Key: open-targets-platform
Source: github.com/qsong-github/drugclaw

github.com/qsong-github/drugclaw