Agent skill

drkg-query

Query the DRKG (Drug Repurposing Knowledge Graph). Use whenever the user asks about drug–gene, drug–disease, gene–disease, or other biomedical entity relationships in a knowledge-graph context, drug repurposing candidates, COVID-19 drug repurposing, or wants to explore neighbours of any biomedical entity (compound, gene, disease, pathway, side effect, etc.) in DRKG.

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

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

Facts
Files in the skill folder: 6
SKILL.md size: 4 KB
Bundled scripts: yes
Path: skills/drugclaw/drkg/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

# DRKG Query Skill Search the Drug Repurposing Knowledge Graph (97 238 entities, 5 874 261 triplets, 107 relation types) by any entity. Auto-detects entity type by input pattern and returns all KG neighbours. ## Entity Format Entities in DRKG are typed strings: `Type::ID`. | Entity Type | Example | Count | |---|---|---| | Compound | `Compound::DB00945` | 24 313 | | Gene | `Gene::1956` | 39 220 | | Disease | `Disease::DOID:162` | 5 103 | | Anatomy | `Anatomy::UBERON:0001474` | 400 | | Biological Process | `Biological Process::GO:0006915` | 11 381 | | Cellular Component | `Cellular Component::GO:0005634` | 1 391 | | Molecular Function | `Molecular Function::GO:0005515` | 2 884 | | Pathway | `Pathway::PC7_8078` | 1 822 | | Pharmacologic Class | `Pharmacologic Class::N0000175605` | 345 | | Side Effect | `Side Effect::C0000737` | 5 701 | | Symptom | `Symptom::D009325` | 415 | | Atc | `Atc::N02BE01` | 4 048 | | Tax | `Tax::9606` | 215 | Relations are typed strings: `Source::RelType::HeadType:TailType`, e.g. `DRUGBANK::target::Compound:Gene`, `Hetionet::CtD::Compound:Disease`. ## Input Auto-Detection | Input Pattern | Detected As | Match Logic | |---|---|---| | `Compound::DB00945` | full

What's inside
Steps it walks through
  1. Entity Format
  2. Input Auto-Detection
  3. API
  4. Usage
  5. Data Sources
  6. Data Files
  7. Citation
Ships with 5 files
  • README.md
  • __init__.py
  • drkg_skill.py
  • example.py
  • retrieve.py
More from awesome-bio-agent-skills
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About this skill
What does the drkg-query skill do?

Query the DRKG (Drug Repurposing Knowledge Graph). Use whenever the user asks about drug–gene, drug–disease, gene–disease, or other biomedical entity relationships in a knowledge-graph context, drug repurposing candidates, COVID-19 drug repurposing, or wants to explore neighbours of any biomedical entity (compound, gene, disease, pathway, side effect, etc.) in DRKG.

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill drkg --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