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bio-admet-prediction

82 / 100 · Low risk

Fine to try.

By BioTender-max/awesome-bio-agent-skills (GitHub) · design · 219 stars · scanned at commit 8cbdd18

Predicts ADMET properties using ADMETlab 3.0 (119 endpoints with uncertainty), ADMET-AI, DeepChem MolNet, and chemprop D-MPNN with explicit handling of OECD QSAR principles, applicability domain assessment, calibration, hERG/CYP/AMES gold-standard endpoints, and PAINS / Lipinski / Ro5 / Veber / BBB druglikeness filters. Use when filtering compounds for drug-likeness, prioritizing leads by predicted safety, or building an in-house ADMET QSAR model.

Works with any agent that supports SKILL.md skills.

What this skill can do

Connects to the internet

This is disclosed by the author in the skill's SKILL.md or README.

Found in 2 places.

Downloads and installs other software

The author does not mention this.

Found in 2 places.

Install

Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.

if [ -e ~/.agents/skills/'bio-admet-prediction' ] || [ -L ~/.agents/skills/'bio-admet-prediction' ]; then echo 'A skill folder named bio-admet-prediction already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/BioTender-max/awesome-bio-agent-skills' "$d" && git -C "$d" checkout --quiet '8cbdd18837aa6296c4e77616a03b323bd69b57b1' -- 'skills/bioskills/admet-prediction' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills/bioskills/admet-prediction' ~/.agents/skills/'bio-admet-prediction' && 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/'bio-admet-prediction' ~/.claude/skills/'bio-admet-prediction' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.

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Score history

DateVersionScore
2026-11-078cbdd1882