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svm

97 / 100 · Low risk

Fine to try.

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

Use this model doc whenever the user wants to perform disease classification with SVM. This is a non-deep-learning supervised route focused on neuroimaging-based case-control prediction from ROI-wise or tabular features.

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/'svm' ] || [ -L ~/.agents/skills/'svm' ]; then echo 'A skill folder named svm 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 "$d" checkout --quiet '8cbdd18837aa6296c4e77616a03b323bd69b57b1' -- 'skills/neuroclaw/svm' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills/neuroclaw/svm' ~/.agents/skills/'svm' && 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/'svm' ~/.claude/skills/'svm' (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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