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matlab-interpret-machine-learning-model

100 / 100 · Low risk

Fine to try.

By matlab/matlab-agentic-toolkit (GitHub) · coding · 1,291 stars · scanned at commit b58be81

Interpret and explain a trained tabular machine-learning model (classification or regression) in MATLAB. Find which predictors, features, or columns matter most; explain why the model made a specific prediction, including diagnosing predictions it got wrong; show how a predictor affects the output; and compare how the model behaves across cohorts or subgroups. Uses model-agnostic techniques and model-native measures, and works on custom models (such as a dlnetwork) through a prediction function…

Works with any agent that supports SKILL.md skills.

What this skill can do

We found nothing in the files we read that matches our rules. That does not prove the skill is safe: see the limits of static scanning.

Install

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

if [ -e ~/.agents/skills/'matlab-interpret-machine-learning-model' ] || [ -L ~/.agents/skills/'matlab-interpret-machine-learning-model' ]; then echo 'A skill folder named matlab-interpret-machine-learning-model already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/matlab/matlab-agentic-toolkit' "$d" && git -C "$d" checkout --quiet 'b58be8124631cccb03a67aa79dcef1c9720243e2' -- 'skills-catalog/ai-and-statistics/matlab-interpret-machine-learning-model' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills-catalog/ai-and-statistics/matlab-interpret-machine-learning-model' ~/.agents/skills/'matlab-interpret-machine-learning-model' && 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/'matlab-interpret-machine-learning-model' ~/.claude/skills/'matlab-interpret-machine-learning-model' (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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Score history

DateVersionScore
2026-11-11b58be81100
2026-11-082a7f215100
2026-11-072a7f215100