Dignified Python Standards
docling-project/docling
Applies opinionated production Python conventions chosen by the project's Python version: modern type syntax, pathlib, explicit checks and interface guidance.
Review MATLAB code for quality, performance, maintainability, and adherence to MathWorks coding standards.
Install Matlab Review Code
$ npx skills add matlab/matlab-agentic-toolkit --skill matlab-review-code -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-review-code --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/matlab-core/matlab-review-code .claude/skills/matlab-review-code && 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-review-code" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/matlab-core/matlab-review-code into .claude/skills/matlab-review-code/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-review-code", 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/matlab-core/matlab-review-codeType 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-review-code -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-review-code --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/matlab-core/matlab-review-code .agents/skills/matlab-review-code && 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-review-code" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/matlab-core/matlab-review-code into .agents/skills/matlab-review-code/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-review-code", 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-review-code -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-review-code --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/matlab-core/matlab-review-code .cursor/skills/matlab-review-code && 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-review-code" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/matlab-core/matlab-review-code into .cursor/skills/matlab-review-code/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-review-code", 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/matlab-core/matlab-review-code--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-review-code -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-review-code --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/matlab-core/matlab-review-code .gemini/skills/matlab-review-code && 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-review-code" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/matlab-core/matlab-review-code into .gemini/skills/matlab-review-code/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-review-code", 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-review-codeInstalls 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-review-code -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/matlab-core/matlab-review-code .github/skills/matlab-review-code && 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-review-code" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/matlab-core/matlab-review-code into .github/skills/matlab-review-code/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-review-code", 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-review-code -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-review-code --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/matlab-core/matlab-review-code .opencode/skills/matlab-review-code && 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-review-code" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/matlab-core/matlab-review-code into .opencode/skills/matlab-review-code/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-review-code", 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-review-code- GitHub stars
- 1.1k
- Token cost
- ~1.8k tokens
- SKILL.md length
- 626 words
- Files
- 2
- Skills in repo
- 144
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Review MATLAB code for quality, performance, maintainability, and adherence to MathWorks coding standards.
- Works in 2 steps: Static Analysis → Load Coding Standards
- Finding code smells
- SKILL.md covers When to Use, When NOT to Use, Workflow and Step 1: Static Analysis, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Matlab Review Code is an agent skill from matlab/matlab-agentic-toolkit. Review MATLAB code for quality, performance, maintainability, and adherence to MathWorks coding standards. Uses checkmatlabcode and matlabcodingguidelines. Use when reviewing code, checking style, finding code smells, assessing quality, or preparing code for handoff or publication.
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `manifest.yaml`).
It sits in Development, covering Code quality, Code review and Refactoring. 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
- Finding code smells
- Assessing quality
- Preparing code for handoff
Example prompts
- “/matlab-review-code”
Workflow steps
2 steps, taken from the step headings in SKILL.md.
- Static Analysis
- Load Coding Standards
What it can do on your machine
Read from SKILL.md and the folder at commit 3303f05. 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
No scripts in the folder and no shell commands in SKILL.md (its code samples are matlab).
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 Review Code loads about 1.8k tokens when it runs. Until then it costs about 76 tokens; SKILL.md has 626 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); files beside SKILL.md 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 626 words (~1,826 tokens).
“Systematically review MATLAB code for quality, correctness, performance, and adherence to MathWorks coding conventions using static analysis and manual inspection patterns.”
- name
- matlab-review-code
- license
- https://www.mathworks.com/content/dam/mathworks/license/pmrl/license.md
- metadata.author
- MathWorks
- metadata.version
- 1.1
Files
SKILL.md and 1 other file in skills-catalog/matlab-core/matlab-review-code of matlab/matlab-agentic-toolkit.
- SKILL.md
- manifest.yaml
Open the folder on GitHubat commit 3303f05
Compare with similar skills
Matlab Review Code 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 Review Code this skillmatlab/matlab-agentic-toolkit | 1.1k | — | ~1.8k | Automated safety check: Pass | Custom licence | |
| Dignified Python Standardsdocling-project/docling | 68k | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | |
| Clean Code GuardamElnagdy/guard-skills | 1.3k | 2 repos | ~4.3k | Automated safety check: Pass | MIT | |
| Maintainable Code for iPolloWorkDevin-AXIS/iPolloWork | 6.7k | — | ~2.7k | Automated safety check: Pass | Custom licence | |
| Cyclomatic Complexitysaurabhkumar8112/cyclomatic-complexity-skill | 405 | — | ~761 | Automated safety check: Pass | Apache-2.0 | |
| Code ReviewerYikai-Liao/symusic | 189 | 1 repos | ~1.3k | Automated safety check: Pass | MIT |
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A code-change gate for the iPolloWork repository: search and reuse first, keep one source of truth, justify every new file or dependency, and audit the change.
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Related
Categories
Questions about Matlab Review Code
What does Matlab Review Code do?
Review MATLAB code for quality, performance, maintainability, and adherence to MathWorks coding standards. Matlab Review Code is an agent skill from matlab/matlab-agentic-toolkit. Review MATLAB code for quality, performance, maintainability, and adherence to MathWorks coding standards.
When should I use Matlab Review Code?
Matlab Review Code fits situations like: finding code smells; assessing quality; preparing code for handoff.
How do I install Matlab Review Code in Claude Code?
Run `npx skills add matlab/matlab-agentic-toolkit --skill matlab-review-code -a claude-code`. Or copy the skill folder (skills-catalog/matlab-core/matlab-review-code in matlab/matlab-agentic-toolkit) into .claude/skills/matlab-review-code in your project. Claude Code loads it when a task matches its description.
How do I install Matlab Review Code in Codex?
Run `npx skills add matlab/matlab-agentic-toolkit --skill matlab-review-code -a codex`. Or copy the skill folder (skills-catalog/matlab-core/matlab-review-code in matlab/matlab-agentic-toolkit) into .agents/skills/matlab-review-code in your project. Codex loads it when a task matches its description.
Can I use Matlab Review Code 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-review-code -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-review-code, .gemini/skills/matlab-review-code, .github/skills/matlab-review-code and .opencode/skills/matlab-review-code in your project.
What does Matlab Review Code need to run?
SKILL.md names no scripts, command-line tools or credentials: Matlab Review Code is instructions for the agent only.
Does Matlab Review Code 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 Review Code 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. Review the folder before installing.
What licence does Matlab Review Code use?
Matlab Review Code 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 Review Code use?
About 1.8k tokens (SKILL.md is roughly 7.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Matlab Review Code?
Skills that share tags, products or a category with Matlab Review Code: Dignified Python Standards (docling-project/docling, 68k stars), Clean Code Guard (amElnagdy/guard-skills, 1.3k stars), Maintainable Code for iPolloWork (Devin-AXIS/iPolloWork, 6.7k stars) and Cyclomatic Complexity (saurabhkumar8112/cyclomatic-complexity-skill, 405 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Matlab Review Code?
matlab (a GitHub organization) maintains it in matlab/matlab-agentic-toolkit, which has 1,134 GitHub stars. The repository holds 144 skills in this directory. The repository was last updated on September 30, 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.