Refua OpenClaw Skill - ClawHub
Do you want your AI agent to automate Refua workflows? This free skill from ClawHub helps with media & streaming tasks without building custom tools from scratch.
What this skill does
Refua is used in drug discovery to computationally fold and score biomolecular.
Install
npx clawhub@latest install refuaFull SKILL.md
Open originalSkill: Refua
Summary
Refua is used in drug discovery to computationally fold and score biomolecular complexes (e.g., protein–ligand/protein–protein) and optionally profile ADMET, helping prioritize which molecules to synthesize and test first in a drug discovery pipeline.
This skill runs and connects to the refua-mcp MCP server, which exposes Refua’s “unified Complex API” as MCP tools for:
- Boltz2 complex folding (+ optional affinity evaluation)
- BoltzGen design workflows
- Optional ADMET profiling (when installed)
Clawdbot supports MCP natively, so the only requirement is running this MCP server and calling its tools. (github.com)
When to use
Use this skill when you need to:
- Fold a protein–ligand, protein–protein, or (fold-only) DNA/RNA complex
- Estimate binding affinity for a specified binder within a complex spec
- Run ADMET predictions for one or more SMILES ligands (if enabled)
- Execute GPU/CPU-heavy Refua workflows via MCP tool calls
Do NOT use this skill when:
- The task is a simple deterministic calculation (prefer a non-ML tool)
- The user expects you to invent sequences/SMILES (request inputs instead)
- The user requests unsafe wet-lab or clinical guidance
Installation & assets (operator steps)
1) Install Refua + refua-mcp
Install Refua (CPU or CUDA), then install the MCP server package: (github.com)
- GPU support:
pip install refua[cuda]
- CPU-only:
pip install refua
- MCP server:
pip install refua-mcp
2) Optional: enable ADMET
ADMET tool support is optional and requires an extra: (github.com)
pip install refua[admet]
3) Download model/assets
Boltz2 and BoltzGen require model/molecule assets. Refua can download them automatically: (github.com)
python -c "from refua import download_assets; download_assets()"
Default asset locations + overrides: (github.com)
- Boltz2 uses
~/.boltzby default- Override via tool option
boltz.cache_dirif needed
- Override via tool option
- BoltzGen uses a bundled HF artifact by default
- Override via tool option
boltzgen.mol_dirif needed
- Override via tool option
Running the MCP server
Start the server using the module entrypoint: (github.com)
python3 -m refua_mcp.server