torchdrug
80 / 100 · Low risk
Fine to try.
PyTorch-native graph neural networks for molecules and proteins. Use when building custom GNN architectures for drug discovery, protein modeling, or knowledge graph reasoning. Best for custom model development, protein property prediction, retrosynthesis. For pre-trained models and diverse featurizers use deepchem; for benchmark datasets use pytdc.
What this skill can do
Downloads and installs other software
Runs commands on your computer
Install
Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.
if [ -e ~/.agents/skills/'torchdrug' ] || [ -L ~/.agents/skills/'torchdrug' ]; then echo 'A skill folder named torchdrug already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/lamm-mit/scienceclaw' "$d" && git -C "$d" checkout --quiet '894598cd3a90891a077c254566276bd379038bad' -- 'skills/torchdrug' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills/torchdrug' ~/.agents/skills/'torchdrug' && rm -rf "$d"; fi
Codex reads ~/.agents/skills directly. For Claude Code, Cursor, Copilot, Gemini CLI, Antigravity or OpenCode, also link it. For Claude Code: ln -s ~/.agents/skills/'torchdrug' ~/.claude/skills/'torchdrug' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.
Badge for your README
[](https://zalavijaysinh.github.io/skilltrust/repos/lamm-mit/scienceclaw/)
Score history
| Date | Version | Score |
|---|---|---|
| 2026-11-13 | 894598c | 80 |