← All skills
molfeat
80 / 100 · Low risk
Fine to try.
By lifangda/claude-plugins (GitHub) · other · 43 stars · scanned at commit 76d90e8
Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.
Works with any agent that supports SKILL.md skills.
What this skill can do
Runs commands on your computer
The author does not mention this.
Found in 3 places.
Downloads and installs other software
The author does not mention this.
Found in 15 places.
Show 12 more
- cli-tool/skills-library/scientific-computing/cheminformatics/molfeat/SKILL.md, line 493
pip install "molfeat[dgl]" # For GIN models - cli-tool/skills-library/scientific-computing/cheminformatics/molfeat/references/available_featurizers.md, line 266
- **DGL models** (gin-*, jtvae): `pip install "molfeat[dgl]"` - cli-tool/skills-library/scientific-computing/cheminformatics/molfeat/references/available_featurizers.md, line 267
- **Graphormer**: `pip install "molfeat[graphormer]"` - cli-tool/skills-library/scientific-computing/cheminformatics/molfeat/references/available_featurizers.md, line 268
- **Transformers** (ChemBERTa, ChemGPT, MolT5): `pip install "molfeat[transformer]"` - cli-tool/skills-library/scientific-computing/cheminformatics/molfeat/references/available_featurizers.md, line 269
- **FCD**: `pip install "molfeat[fcd]"` - cli-tool/skills-library/scientific-computing/cheminformatics/molfeat/references/available_featurizers.md, line 270
- **MAP4**: `pip install "molfeat[map4]"` - cli-tool/skills-library/scientific-computing/cheminformatics/molfeat/references/available_featurizers.md, line 271
- **All dependencies**: `pip install "molfeat[all]"` - cli-tool/skills-library/scientific-computing/cheminformatics/molfeat/references/examples.md, line 12
pip install molfeat - cli-tool/skills-library/scientific-computing/cheminformatics/molfeat/references/examples.md, line 15
pip install "molfeat[all]" - cli-tool/skills-library/scientific-computing/cheminformatics/molfeat/references/examples.md, line 18
pip install "molfeat[dgl]" # For GNN models - cli-tool/skills-library/scientific-computing/cheminformatics/molfeat/references/examples.md, line 19
pip install "molfeat[graphormer]" # For Graphormer - cli-tool/skills-library/scientific-computing/cheminformatics/molfeat/references/examples.md, line 20
pip install "molfeat[transformer]" # For ChemBERTa, ChemGPT
Install
Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.
if [ -e ~/.agents/skills/'molfeat' ] || [ -L ~/.agents/skills/'molfeat' ]; then echo 'A skill folder named molfeat already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/lifangda/claude-plugins' "$d" && git -C "$d" checkout --quiet '76d90e8304f792a3c98ddd4172ec7ec59b1e656f' -- 'cli-tool/skills-library/scientific-computing/cheminformatics/molfeat' && mkdir -p ~/.agents/skills && cp -R "$d"/'cli-tool/skills-library/scientific-computing/cheminformatics/molfeat' ~/.agents/skills/'molfeat' && 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/'molfeat' ~/.claude/skills/'molfeat' (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
The badge for lifangda/claude-plugins shows the score of its lowest-scoring skill.

[](https://zalavijaysinh.github.io/skilltrust/repos/lifangda/claude-plugins/)
Score history
| Date | Version | Score |
|---|
| 2026-11-07 | 76d90e8 | 80 |