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radiomics-ml

95 / 100 · Low risk

Fine to try.

By Aperivue/medsci-skills (GitHub) · research · 379 stars · scanned at commit e0ea3b0

Use when building or auditing a radiomics or tabular clinical-ML prediction model with a classical learner (LASSO, SVM, random forest, XGBoost and similar). Enforces nested CV, dimensionality control, in-fold feature selection, feature stability, calibration and external validation.

Works with any agent that supports SKILL.md skills.

What this skill can do

Install

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

if [ -e ~/.agents/skills/'radiomics-ml' ] || [ -L ~/.agents/skills/'radiomics-ml' ]; then echo 'A skill folder named radiomics-ml already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/Aperivue/medsci-skills' "$d" && git -C "$d" checkout --quiet 'e0ea3b0be3bf529aa0b94ee5fd8450e78848932c' -- 'skills/radiomics-ml' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills/radiomics-ml' ~/.agents/skills/'radiomics-ml' && 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/'radiomics-ml' ~/.claude/skills/'radiomics-ml' (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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