qsong-github/drugclaw/dgidb
Claude Code and agent skill by qsong-github/drugclaw
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Query the DGIdb (Drug-Gene Interaction Database) for drug-gene interactions, gene druggability categories, and drug target information. Use whenever the user asks about drug targets, druggable genes, gene-drug interactions, or wants to look up any entity (gene name, drug name, druggability category) in DGIdb.
Install
npx vskill@latest install qsong-github/drugclaw/dgidbSKILL.md
DGIdb Query Skill
Search DGIdb records by any entity. Auto-detects type by naming convention:
| Input Pattern | Detected As | Example | |
|---|---|---|---|
| ALL-CAPS ≤15 chars | Gene | EGFR, BRAF, TP53 | |
| Known category keyword | Druggability category | clinically actionable, kinase | |
| Anything else | Drug | imatinib, erlotinib |
Supported category keywords: clinically actionable, drug resistance, druggable genome, tumor suppressor, transcription factor, kinase, g protein coupled receptor, hormone activity, ion channel, protease, dna repair.
API
| Function | Input | Returns | |
|---|---|---|---|
search(entity) | single entity string | list[dict] | |
search_batch(entities) | list of entity strings | dict[str, list[dict]] | |
summarize(results, entity) | result list + label | compact text for LLM | |
to_json(results) | result list | list[dict] (passthrough) |
Key Fields
Gene result: name, long_name, categories, interaction_count, interactions[] (each with drug, drug_concept_id, score, types, directionality, attributes, pmids, sources).
Drug result: name, concept_id, approval_ratings, interaction_count, interactions[] (each with gene, gene_long_name, score, types, directionality, attributes, pmids, sources).
Category result: category, gene_count, genes[] (each with name, long_name).
Usage
See if __name__ == "__main__" block in 16_DGIdb.py for runnable examples covering: single gene, single drug, category, batch (mixed types), and JSON output.
Data Source
- Database: DGIdb v5.0 — Drug-Gene Interaction Database
- Endpoint:
https://dgidb.org/api/graphql(GraphQL, no API key) - Coverage: 40+ source databases, ~100 k drug-gene interactions
- Paper: Freshour et al., Nucleic Acids Res. 2024; 52(D1):D1227-D1235. DOI: 10.1093/nar/gkac1046
Security
- Security scanPassed, 95 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/dti/dgidb/SKILL.md
Popularity
- Repository stars
- 116
- Repository forks
- 3
- 7-day trend score
- 24
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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