shap
80 / 100 · Low risk
Fine to try.
Interpretabilidade e explicabilidade de modelos usando SHAP (SHapley Additive exPlanations). Use essa skill ao explicar predições de modelos de machine learning, computar importância de features, gerar plots SHAP (waterfall, beeswarm, bar, scatter, force, heatmap), depurar modelos, analisar vieses ou justiça de modelos, comparar modelos ou implementar IA explicável. Funciona com modelos baseados em árvores (XGBoost, LightGBM, Random Forest), deep learning (TensorFlow, PyTorch), modelos lineares…
What this skill can do
Downloads and installs other software
Runs commands on your computer
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=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/artubss/SKILLS-CLAUDE-CODE' "$d" && git -C "$d" checkout --quiet 'ac67ed85889b15fa9e784e2a93a83f8916870698' -- 'skills/skills/scientific/shap' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills/skills/scientific/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.
Badge for your README
[](https://zalavijaysinh.github.io/skilltrust/repos/artubss/SKILLS-CLAUDE-CODE/)
Score history
| Date | Version | Score |
|---|---|---|
| 2026-11-08 | ac67ed8 | 100 |