Scikit Learn
zLanqing/codex-claude-academic-skills
Machine learning in Python with scikit-learn. An agent skill from zLanqing/codex-claude-academic-skills.
Interpret and explain a trained tabular machine-learning model (classification or regression) in MATLAB.
Install Matlab Interpret Machine Learning Model
$ npx skills add matlab/matlab-agentic-toolkit --skill matlab-interpret-machine-learning-model -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-interpret-machine-learning-model --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/matlab/matlab-agentic-toolkit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills-catalog/ai-and-statistics/matlab-interpret-machine-learning-model .claude/skills/matlab-interpret-machine-learning-model && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "matlab-interpret-machine-learning-model" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/ai-and-statistics/matlab-interpret-machine-learning-model into .claude/skills/matlab-interpret-machine-learning-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-interpret-machine-learning-model", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/ai-and-statistics/matlab-interpret-machine-learning-modelType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add matlab/matlab-agentic-toolkit --skill matlab-interpret-machine-learning-model -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-interpret-machine-learning-model --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/matlab/matlab-agentic-toolkit.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills-catalog/ai-and-statistics/matlab-interpret-machine-learning-model .agents/skills/matlab-interpret-machine-learning-model && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "matlab-interpret-machine-learning-model" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/ai-and-statistics/matlab-interpret-machine-learning-model into .agents/skills/matlab-interpret-machine-learning-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-interpret-machine-learning-model", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add matlab/matlab-agentic-toolkit --skill matlab-interpret-machine-learning-model -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-interpret-machine-learning-model --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/matlab/matlab-agentic-toolkit.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills-catalog/ai-and-statistics/matlab-interpret-machine-learning-model .cursor/skills/matlab-interpret-machine-learning-model && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "matlab-interpret-machine-learning-model" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/ai-and-statistics/matlab-interpret-machine-learning-model into .cursor/skills/matlab-interpret-machine-learning-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-interpret-machine-learning-model", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/matlab/matlab-agentic-toolkit.git --path skills-catalog/ai-and-statistics/matlab-interpret-machine-learning-model--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add matlab/matlab-agentic-toolkit --skill matlab-interpret-machine-learning-model -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-interpret-machine-learning-model --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/matlab/matlab-agentic-toolkit.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills-catalog/ai-and-statistics/matlab-interpret-machine-learning-model .gemini/skills/matlab-interpret-machine-learning-model && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "matlab-interpret-machine-learning-model" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/ai-and-statistics/matlab-interpret-machine-learning-model into .gemini/skills/matlab-interpret-machine-learning-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-interpret-machine-learning-model", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install matlab/matlab-agentic-toolkit matlab-interpret-machine-learning-modelInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add matlab/matlab-agentic-toolkit --skill matlab-interpret-machine-learning-model -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/matlab/matlab-agentic-toolkit.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills-catalog/ai-and-statistics/matlab-interpret-machine-learning-model .github/skills/matlab-interpret-machine-learning-model && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "matlab-interpret-machine-learning-model" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/ai-and-statistics/matlab-interpret-machine-learning-model into .github/skills/matlab-interpret-machine-learning-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-interpret-machine-learning-model", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add matlab/matlab-agentic-toolkit --skill matlab-interpret-machine-learning-model -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-interpret-machine-learning-model --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/matlab/matlab-agentic-toolkit.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills-catalog/ai-and-statistics/matlab-interpret-machine-learning-model .opencode/skills/matlab-interpret-machine-learning-model && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "matlab-interpret-machine-learning-model" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/ai-and-statistics/matlab-interpret-machine-learning-model into .opencode/skills/matlab-interpret-machine-learning-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-interpret-machine-learning-model", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
matlab-interpret-machine-learning-model- GitHub stars
- 1.1k
- Token cost
- ~8.1k tokens
- SKILL.md length
- 4,005 words
- Files
- 9 (incl. scripts, references)
- Skills in repo
- 142
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Interpret and explain a trained tabular machine-learning model (classification or regression) in MATLAB.
- Works in 2 steps: Resolve Mdl, once, for the whole… → Background and data convention. Use…
- Model interpretability
- SKILL.md covers When to Use, When NOT to Use, Communication Style While… and STEP: Establishing inputs, plus 11 more sections
- Feature-importance questions on tabular data
What it does
Matlab Interpret Machine Learning Model is an agent skill from matlab/matlab-agentic-toolkit. 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 handle. Use for…
Its SKILL.md is about 8.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts and reference files (for example `manifest.yaml`, `references/agnostic-effect-shape.md` and `references/agnostic-global-importance.md`).
It sits in Data & Analytics, covering Machine learning. The repository describes itself as: The MATLAB Agentic Toolkit brings proven MATLAB capabilities to AI agents, making engineering and scientific workflows agent-ready.
When your agent uses it
- Model interpretability
- Feature-importance questions on tabular data
- Not for training
- Feature selection
Example prompts
- “/matlab-interpret-machine-learning-model”
Workflow steps
2 steps, taken from the first numbered list in SKILL.md.
- Resolve Mdl, once, for the whole confirmed set of interpretability functions to run. Mdl is what gets passed to every interpretability…
- Background and data convention. Use Xtrain as the Shapley/LIME background; never place the query point in its own reference set. Run…
What it can do on your machine
Read from SKILL.md and the folder at commit 59dfd92. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/, which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Matlab Interpret Machine Learning Model loads about 8.1k tokens when it runs, and up to ~20k if it reads all its reference files. Until then it costs about 194 tokens; SKILL.md has 4,005 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 4,005 words (~8,093 tokens).
“Interpret a trained tabular model — a built-in Statistics and Machine Learning Toolbox (SMLT) classifier or regressor, or a custom model reached through a prediction function handle — by matching the user's intent to the right techniques, handling the custom-model…”
- name
- matlab-interpret-machine-learning-model
- license
- https://www.mathworks.com/content/dam/mathworks/license/pmrl/license.md
- metadata.author
- MathWorks
- metadata.version
- 1.0
Files
SKILL.md and 8 other files (scripts, references) in skills-catalog/ai-and-statistics/matlab-interpret-machine-learning-model of matlab/matlab-agentic-toolkit.
- SKILL.md
- manifest.yaml
- references/agnostic-effect-shape.md
- references/agnostic-global-importance.md
- references/agnostic-local-explanation.md
- references/cohort-analysis.md
- references/custom-model-wrapper.md
- references/native-importance-measures.md
- scripts/functionHandleMap.m
Open the folder on GitHubat commit 59dfd92
Compare with similar skills
Matlab Interpret Machine Learning Model next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Matlab Interpret Machine Learning Model this skillmatlab/matlab-agentic-toolkit | 1.1k | — | ~8.1k | Automated safety check: Pass | Custom licence | |
| Scikit LearnzLanqing/codex-claude-academic-skills | 4.6k | 17 repos | ~3.9k | Automated safety check: Pass | BSD-3-Clause | |
| Senior Data ScientistRaidriar7170/hermes-skilleval | 125 | 6 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Agentic Kaggle WorkflowFrankS-IntelLab/agentic-kaggle-skill | 188 | — | ~4k | Automated safety check: Pass | MIT | |
| Retention Analysisliangdabiao/claude-data-analysis-ultra-main | 290 | 1 repos | ~1.3k | Automated safety check: Notes | None | |
| Geomlitalo-goncalves/geoML | 109 | — | ~4.2k | Automated safety check: Pass | GPL-3.0 |
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Related
Categories
Questions about Matlab Interpret Machine Learning Model
What does Matlab Interpret Machine Learning Model do?
Interpret and explain a trained tabular machine-learning model (classification or regression) in MATLAB. Matlab Interpret Machine Learning Model is an agent skill from matlab/matlab-agentic-toolkit. Interpret and explain a trained tabular machine-learning model (classification or regression) in MATLAB.
When should I use Matlab Interpret Machine Learning Model?
Matlab Interpret Machine Learning Model fits situations like: model interpretability; feature-importance questions on tabular data; not for training; feature selection.
How do I install Matlab Interpret Machine Learning Model in Claude Code?
Run `npx skills add matlab/matlab-agentic-toolkit --skill matlab-interpret-machine-learning-model -a claude-code`. Or copy the skill folder (skills-catalog/ai-and-statistics/matlab-interpret-machine-learning-model in matlab/matlab-agentic-toolkit) into .claude/skills/matlab-interpret-machine-learning-model in your project. Claude Code loads it when a task matches its description.
How do I install Matlab Interpret Machine Learning Model in Codex?
Run `npx skills add matlab/matlab-agentic-toolkit --skill matlab-interpret-machine-learning-model -a codex`. Or copy the skill folder (skills-catalog/ai-and-statistics/matlab-interpret-machine-learning-model in matlab/matlab-agentic-toolkit) into .agents/skills/matlab-interpret-machine-learning-model in your project. Codex loads it when a task matches its description.
Can I use Matlab Interpret Machine Learning Model in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add matlab/matlab-agentic-toolkit --skill matlab-interpret-machine-learning-model -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/matlab-interpret-machine-learning-model, .gemini/skills/matlab-interpret-machine-learning-model, .github/skills/matlab-interpret-machine-learning-model and .opencode/skills/matlab-interpret-machine-learning-model in your project.
What does Matlab Interpret Machine Learning Model need to run?
SKILL.md names no scripts, command-line tools or credentials: Matlab Interpret Machine Learning Model is instructions for the agent only.
Does Matlab Interpret Machine Learning Model access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Matlab Interpret Machine Learning Model safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Matlab Interpret Machine Learning Model use?
Matlab Interpret Machine Learning Model has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Matlab Interpret Machine Learning Model use?
About 8.1k tokens (SKILL.md is roughly 32k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 12k tokens, read only when the agent opens those files.
What are the alternatives to Matlab Interpret Machine Learning Model?
Skills that share tags, products or a category with Matlab Interpret Machine Learning Model: Scikit Learn (zLanqing/codex-claude-academic-skills, 4.6k stars), Senior Data Scientist (Raidriar7170/hermes-skilleval, 125 stars), Agentic Kaggle Workflow (FrankS-IntelLab/agentic-kaggle-skill, 188 stars) and Retention Analysis (liangdabiao/claude-data-analysis-ultra-main, 290 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Matlab Interpret Machine Learning Model?
matlab (a GitHub organization) maintains it in matlab/matlab-agentic-toolkit, which has 1,140 GitHub stars. The repository holds 142 skills in this directory. The repository was last updated on October 7, 2026.
Source: matlab/matlab-agentic-toolkit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.