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shap

80 / 100 · Low risk

Fine to try.

By lifangda/claude-plugins (GitHub) · other · 43 stars · scanned at commit 76d90e8

Model interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analyzing model bias or fairness, comparing models, or implementing explainable AI. Works with tree-based models (XGBoost, LightGBM, Random Forest), deep learning (TensorFlow, PyTorch), linear models, and any black-box mode…

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/'shap' ] || [ -L ~/.agents/skills/'shap' ]; then echo 'A skill folder named shap 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 "$d" checkout --quiet '76d90e8304f792a3c98ddd4172ec7ec59b1e656f' -- 'cli-tool/skills-library/scientific-computing/machine-learning/shap' && mkdir -p ~/.agents/skills && cp -R "$d"/'cli-tool/skills-library/scientific-computing/machine-learning/shap' ~/.agents/skills/'shap' && 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/'shap' ~/.claude/skills/'shap' (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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