Matlab Code Reviewer

CommunityPopular

zhnnky329

matlab-code-reviewer

Review, run, debug, and verify approved MATLAB or Beita Tianyuan modeling code against its plan, data contract, method decision, compatibility constraints, and experiment outputs, saving one compact JSON review.

Overview

Publisher	zhnnky329
Repository	`MathModeling-skills`
Skill name	`matlab-code-reviewer`
Stars	1.1K
Forks	42
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by zhnnky329 on GitHub. Read the source before you install it.

Installation

Install the Matlab Code Reviewer AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/zhnnky329/MathModeling-skills/tree/main/.claude/skills/matlab-code-reviewer
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/zhnnky329/MathModeling-skills/tree/main/.claude/skills/matlab-code-reviewer

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/zhnnky329/MathModeling-skills.git /tmp/MathModeling-skills
mkdir -p .claude/skills
cp -r /tmp/MathModeling-skills/.claude/skills/matlab-code-reviewer .claude/skills/matlab-code-reviewer

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Matlab Code Reviewer in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Matlab Code Reviewer on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Matlab Code Reviewer is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Preconditions

MATLAB code and code/matlab/Qx/qx_code_plan.md exist.
Approved decision, method card, data profile, and run summary are available.
MATLAB or 北太天元 runtime availability is known.

Workflow

Resolve approved main/baseline scope and any activated fallback.
Inspect and run the code when a compatible runtime is available.
Evaluate:
- syntax
- input_contract
- method_alignment
- reproducibility
- output_contract
Include compatibility evidence for toolbox usage, jsonencode, file I/O, plotting/export, and 北太天元 constraints.
Add only relevant numerical, feasibility, leakage, or scale checks.
If runtime is unavailable, use NOT_RUN rather than claiming execution success.
If asked to fix findings, patch minimally and rerun affected checks.
Save code/matlab/Qx/reviews/qx_matlab_review.json.

Review Schema

Use the same schema as python-code-reviewer, with:

"language": "matlab"
runtime
compatibility_target
optional compatibility check

Required named checks use PASS, FAIL, or justified NOT_APPLICABLE. Runtime-dependent checks use NOT_RUN when execution was impossible; this blocks G3 until executed.

Rules

Do not pad pass items.
Do not fabricate MATLAB/北太天元 execution.
Do not approve unavailable toolbox dependencies without an explicit target exception.
Do not change the mathematical model silently.
Do not require a duplicate Markdown review.

Verification

Approved main and baseline scope is enforced.
Compatibility constraints are checked.
Run summary and outputs agree.
Verdict follows required check statuses and runtime evidence.

Frequently asked questions

What does the Matlab Code Reviewer AI skill do?

Why use Matlab Code Reviewer on TypingMind?

Because you install it once and use it with any model. Matlab Code Reviewer is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Matlab Code Reviewer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zhnnky329/MathModeling-skills/tree/main/.claude/skills/matlab-code-reviewer. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Matlab Code Reviewer?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Matlab Code Reviewer?

As many as you like. As long as a model supports skills, you can use Matlab Code Reviewer with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Matlab Code Reviewer AI skill free?

Yes. It is published on GitHub by zhnnky329 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Preconditions

Workflow

Review Schema

Rules

Verification

Frequently asked questions

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