Drkg Query

Community

QSong-github

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.

Overview

Publisher	QSong-github
Repository	`DrugClaw`
Skill name	`drkg-query`
Stars	118
Forks	3
Bundled files	4
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
4 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by QSong-github on GitHub. Read the source before you install it.

Installation

Install the Drkg Query AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/QSong-github/DrugClaw/tree/main/skills/drug_repurposing/drkg
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/QSong-github/DrugClaw.git /tmp/DrugClaw
mkdir -p .claude/skills
cp -r /tmp/DrugClaw/skills/drug_repurposing/drkg .claude/skills/drkg-query

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Drkg Query in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Drkg Query on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Drkg Query is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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 DRKG entity	exact match
`DB\d{5,}`	DrugBank ID	prepend `Compound::`
`DOID:\d+` / `MESH:D\d+`	Disease ID	prepend `Disease::`
`GO:\d+`	GO term	try BP / MF / CC
pure digits (`1956`)	Entrez Gene ID	prepend `Gene::`
anything else	free text	case-insensitive substring across all entities

API

Function	Input	Returns
`search(query, limit=200)`	single entity string	dict with `resolved`, `as_head`, `as_tail`
`search_batch(queries, limit=200)`	list of entity strings	dict[query → result]
`get_sources(entity)`	resolved DRKG entity	source attribution string
`get_relation_info(relation)`	relation string	glossary dict
`entity_types()`	—	list of 13 entity type names
`summarize(result)`	search result dict	compact LLM-readable text
`to_json(result)`	search result dict	JSON-serialisable dict

Usage

See if __name__ == "__main__" block in 25_DRKG.py for runnable examples: single-entity search (full ID, bare ID, free text), batch search, relation glossary lookup, and JSON output.

Data Sources

DRKG integrates six databases plus COVID-19 literature:

Source	Triplets	Coverage
DrugBank	1 424 790	drug–drug, drug–gene, drug–disease, ATC
Hetionet	2 250 197	gene–gene, anatomy, pathways, side effects
GNBR	335 369	gene–gene, compound–gene, disease–gene
STRING	1 496 708	protein–protein interactions
IntAct	256 151	protein–protein interactions
DGIdb	26 290	drug–gene interactions
Bibliography	84 756	COVID-19 related

Data Files

Located at DATA_DIR in 25_DRKG.py:

File	Description
`drkg.tsv`	5 874 261 triplets (head, relation, tail)
`relation_glossary.tsv`	relation type glossary with source info
`entity2src.tsv`	entity → original data-source mapping

Citation


Ioannidis et al. "DRKG - Drug Repurposing Knowledge Graph for Covid-19", 2020.
https://github.com/gnn4dr/DRKG

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Drkg Query AI skill do?

Why use Drkg Query on TypingMind?

Because you install it once and use it with any model. Drkg Query is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Drkg Query in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/QSong-github/DrugClaw/tree/main/skills/drug_repurposing/drkg. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Drkg Query?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Drkg Query?

As many as you like. As long as a model supports skills, you can use Drkg Query with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Drkg Query AI skill free?

It is published on GitHub by QSong-github. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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openclaw

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

DRKG Query Skill

Entity Format

Input Auto-Detection

API

Usage

Data Sources

Data Files

Citation

Bundled files

Frequently asked questions

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