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shap-model-explainability

80 / 100 · Low risk

Fine to try. Some of what it can do is expected: a coding skill usually runs build and test commands.

By jaechang-hits/SciAgent-Skills (GitHub) · coding · 388 stars · scanned at commit 65d6ceb

Model interpretability via SHAP (Shapley values from game theory). Covers explainer choice (Tree, Deep, Linear, Kernel, Gradient, Permutation), feature attribution, and plots (waterfall, beeswarm, bar, scatter, force, heatmap). Use to explain ML predictions, rank features, debug models, audit fairness, or compare models. Works with tree, deep, linear, and black-box models.

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-model-explainability' ] || [ -L ~/.agents/skills/'shap-model-explainability' ]; then echo 'A skill folder named shap-model-explainability already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/jaechang-hits/SciAgent-Skills' "$d" && git -C "$d" checkout --quiet '65d6ceb875e20b751ffb3a6d8ee19516558789e1' -- 'skills/scientific-computing/shap-model-explainability' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills/scientific-computing/shap-model-explainability' ~/.agents/skills/'shap-model-explainability' && 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-model-explainability' ~/.claude/skills/'shap-model-explainability' (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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