DrugRepoBank Query

Community

QSong-github

DrugRepoBank-query

Query the DrugRepoBank drug repurposing evidence database. Use whenever the user asks about repurposing candidates, drug–disease–target repurposing evidence, or wants to look up any entity (drug name, DrugBank ID, ChEMBL ID, PubChem CID, TTD target ID, UniProt ID, disease name) in DrugRepoBank.

Overview

Publisher	QSong-github
Repository	`DrugClaw`
Skill name	`DrugRepoBank-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 DrugRepoBank 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/drugrepobank
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/drugrepobank .claude/skills/DrugRepoBank-query

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

Use it in TypingMind

Enable DrugRepoBank 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 DrugRepoBank 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 DrugRepoBank 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.

DrugRepoBank Query Skill

Search four linked tables (Drug, Target, DrugTargetInteraction, Literature) for repurposing evidence. Auto-detects entity type by prefix:

Input Pattern	Detected As	Example
`DB00945`	DrugBank ID	exact on `DrugBank_ID` / `DrugID`
`T47101`	TTD Target ID	exact on `TargetID`
`FGFR1_HUMAN`	UniProt ID	exact on `UniprotID`
`CHEMBL2103749`	ChEMBL ID	exact on `ChEMBL ID` in Drug table
`16129704` (digits)	PubChem CID	exact on `PubChem_Compound_ID` / `PubChemID`
anything else	free text	substring on drug Name, TargetName, Disease, NewDisease

API

Function	Input	Returns
`load_all()`	—	`dict` with keys `drug`, `dti`, `lit`, `target` (lists of row-dicts)
`search(tables, entity)`	tables dict + single entity string	`dict` with keys `entity`, `entity_type`, `drug`, `target`, `dti`, `literature`
`search_batch(tables, entities)`	tables dict + list of entity strings	`dict[str, search_result]`
`summarize(result)`	single `search()` result	compact one-line LLM-readable text
`to_json(result)`	single `search()` result	JSON string (trimmed heavy fields)

Usage

See if __name__ == "__main__" block in 42_DrugRepoBank.py for runnable examples covering: drug name, DrugBank ID, TTD target ID, UniProt ID, ChEMBL ID, disease free-text, batch search, and JSON output.

Data

Four CSV tables in DATA_DIR:

File	Key Columns	Description
`Drug.csv`	DrugBank_ID, Name, Drug Groups, PubChem_Compound_ID, ChEMBL ID, SMILES	Drug identifiers & structures
`DrugTargetInteraction.csv`	UniprotID, PubchemID, TargetID, DrugID, Highest_status, MOA	Drug–target links with mechanism of action
`Literature.csv`	DrugName, DrugID, Target, Disease, NewDisease, Evidence, Insilico, Invitro, Invivo, Clinicaltrial, PMID	Repurposing evidence & literature references
`Targets.csv`	TargetID, UniprotID, TargetName, TargetGeneName, TargetType, Function	Target annotations & pathway memberships

Path: DATA_DIR variable in 42_DrugRepoBank.py
(resources_metadata/drug_repurposing/DrugRepoBank)
Source: https://awi.cuhk.edu.cn/DrugRepoBank/php/index.php
Paper: Huang et al., Database 2024, baae051. DOI:10.1093/database/baae051

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 DrugRepoBank Query AI skill do?

Why use DrugRepoBank Query on TypingMind?

Because you install it once and use it with any model. DrugRepoBank 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 DrugRepoBank Query in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/QSong-github/DrugClaw/tree/main/skills/drug_repurposing/drugrepobank. 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 DrugRepoBank 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 DrugRepoBank Query?

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

Is the DrugRepoBank 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

DrugRepoBank Query Skill

API

Usage

Data

Bundled files

Frequently asked questions

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