How do I install the Matlab Code Reviewer skill?

Run npx skillmds@latest add zhnnky329/matlab-code-reviewer in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Matlab Code Reviewer safe to use?

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Which AI agents work with Matlab Code Reviewer?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Matlab Code Reviewer free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Matlab Code Reviewer?

zhnnky329 (@zhnnky329) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Matlab Code Reviewer by zhnnky329 — Agent Skill

Name: Matlab Code Reviewer
Author: 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.

zhnnky329 51b3ded 1.9 KB Updated Sep 17, 2026

File contents

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.

---name: matlab-code-reviewerdescription: 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.---# 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.# Workflow1. Resolve approved main/baseline scope and any activated fallback.2. Inspect and run the code when a compatible runtime is available.3. Evaluate: - `syntax` - `input_contract` - `method_alignment` - `reproducibility` - `output_contract`4. Include compatibility evidence for toolbox usage, `jsonencode`, file I/O, plotting/export, and 北太天元 constraints.5. Add only relevant numerical, feasibility, leakage, or scale checks.6. If runtime is unavailable, use `NOT_RUN` rather than claiming execution success.7. If asked to fix findings, patch minimally and rerun affected checks.8. Save `code/matlab/Qx/reviews/qx_matlab_review.json`.# Review SchemaUse the same schema as `python-code-reviewer`, with:- `"language": "matlab"`- `runtime`- `compatibility_target`- optional `compatibility` checkRequired 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