Drug Repurposing Hub

Community

QSong-github

Drug-Repurposing-Hub

Query the Broad Institute Drug Repurposing Hub (~6,800 compounds). Look up drugs by name, gene target, MOA, disease area, Broad ID, or InChIKey. Returns clinical phase, mechanism of action, targets, disease area, indication, and chemical identifiers.

Overview

Publisher	QSong-github
Repository	`DrugClaw`
Skill name	`Drug-Repurposing-Hub`
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 Drug Repurposing Hub 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/repurposing_hub
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/QSong-github/DrugClaw/tree/main/skills/drug_repurposing/repurposing_hub

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

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/repurposing_hub .claude/skills/Drug-Repurposing-Hub

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

Use it in TypingMind

Enable Drug Repurposing Hub 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 Drug Repurposing Hub 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 Drug Repurposing Hub 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.

Drug Repurposing Hub Query Skill

Search the Broad Institute Drug Repurposing Hub by any entity. Auto-detects input type by pattern:

Input Pattern	Detected As	Match Logic
`BRD-A12345678`	Broad compound ID	prefix on `broad_id`
`ABCDEFGHIJKLMN-OPQRSTUVWX-Y`	InChIKey	exact on `InChIKey`
`EGFR`, `BRAF`, `TOP1`	Gene / target	exact token in `target` (pipe-separated)
anything else	free text	substring on `pert_iname`, `moa`, `indication`, `disease_area`

API

Function	Input	Returns
`load_drugs(path)`	drug TSV path	list[dict]
`load_samples(path)`	sample TSV path	list[dict]
`load_merged()`	—	list[dict] (drugs + chemical IDs from samples)
`search(entity)`	single entity string	list[dict]
`search_batch(entities)`	list of entity strings	dict[str, list[dict]]
`summarize(hits, entity)`	hits + label	compact LLM-readable text
`to_json(hits)`	list[dict]	list[dict] (JSON-serialisable)

Usage

See if __name__ == "__main__" block in 29_Drug_Repurposing_Hub.py for runnable examples covering: drug name, gene target, MOA keyword, disease area, batch search, and JSON output.

python
from importlib.machinery import SourceFileLoader
hub = SourceFileLoader("hub", "29_Drug_Repurposing_Hub.py").load_module()

# Single drug lookup
hits = hub.search("imatinib")
print(hub.summarize(hits, "imatinib"))

# Target-based search
hits = hub.search("EGFR")

# Batch
results = hub.search_batch(["metformin", "aspirin", "BRAF"])

Data

Source: Broad Institute Drug Repurposing Hub (https://repo-hub.broadinstitute.org/repurposing)
Drug file: repo-drug-annotation-20200324.txt — tab-delimited, !-prefixed comment lines
- Columns: pert_iname, clinical_phase, moa, target, disease_area, indication
Sample file: repo-sample-annotation-20240610.txt — tab-delimited, !-prefixed comment lines
- Columns include: broad_id, pert_iname, InChIKey, pubchem_cid, smiles, vendor, purity, etc.
Merge: on pert_iname; first sample with non-empty InChIKey is kept per drug
Path: DATA_DIR variable in 29_Drug_Repurposing_Hub.py
Citation: Corsello SM et al. Nature Medicine 23, 405–408 (2017). doi:10.1038/nm.4306

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 Drug Repurposing Hub AI skill do?

Why use Drug Repurposing Hub on TypingMind?

Because you install it once and use it with any model. Drug Repurposing Hub 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 Drug Repurposing Hub in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/QSong-github/DrugClaw/tree/main/skills/drug_repurposing/repurposing_hub. 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 Drug Repurposing Hub?

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 Drug Repurposing Hub?

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

Is the Drug Repurposing Hub 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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Discord archive: search, sync freshness, DMs, summaries, TUI, repo/release work.

Gitcrawl

GitHub archive: issue/PR search, sync freshness, duplicate clusters, current GitHub handoff, and Gitcrawl repo work.

Graincrawl

Granola archive: search, sync freshness, notes, transcripts, panels, SQL counts, and Graincrawl repo work.

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Drug Repurposing Hub Query Skill

API

Usage

Data

Bundled files

Frequently asked questions

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