Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add wzyn20051216/matlab-agent-skills --skill matlab-orchestratorgit clone --depth 1 https://github.com/wzyn20051216/matlab-agent-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/wzyn20051216/matlab-agent-skills/matlab-orchestrator)<a href="https://agentmods.dev/skills/wzyn20051216/matlab-agent-skills/matlab-orchestrator"><img src="https://agentmods.dev/badge/skills/wzyn20051216/matlab-agent-skills/matlab-orchestrator/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/wzyn20051216/matlab-agent-skills/matlab-orchestrator"><img src="https://agentmods.dev/badge/skills/wzyn20051216/matlab-agent-skills/matlab-orchestrator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.02043 |
| Opus 5.5 | $0.00000 | $0.00817 |
| Sonnet 5.5 | $0.00000 | $0.00409 |
| Haiku 4.5 | $0.00000 | $0.00204 |
Grade A, and why
matlab-orchestrator scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MATLAB Orchestrator
Use this skill as the entry point for MATLAB work. The goal is to turn a loose engineering request into a closed-loop workflow: select the right specialist skill, run MATLAB when possible, save artifacts, and verify the result before reporting back.
Execution Requirement On This Machine
On this machine, MATLAB and Simulink work should default to the official MATLAB MCP auto workflow, not a fresh matlab -batch session. Treat the visible MATLAB desktop as the primary and expected execution path for engineering tasks, especially Simulink modeling, iterative control tuning, and repeated read-modify-simulate loops.
Use this priority order:
- Official MATLAB MCP in
automode, reusing an existing shared MATLAB session when present. - Official MATLAB MCP in
existing/newmode only if the user explicitly requests those modes. matlab -batchonly if the user explicitly asks for batch, CI, or headless execution.
First pass
- Identify the task family.
- Check whether an official MATLAB MCP auto configuration is available first.
- If the task requires MATLAB work on this machine, stay on MCP unless the user explicitly requests a headless/batch path.
- Inspect installed toolboxes with
verbefore choosing toolbox-specific APIs. - Prefer official MathWorks documentation and installed examples over memory.
- Treat forum posts and blogs as hints only; verify every API and parameter locally.
Local Simulink Visualization Preference
The user prefers to see Simulink work happen live, not only receive final files. For Simulink modeling, simulation, control tuning, or code generation tasks:
- Start by opening a visible MATLAB/Simulink session and the relevant
.slxmodel withload_system/open_system. - If creating a new model, create and save the model early, then open it before continuing with automated block edits.
- Use
open_system(modelName),set_param(modelName,"ZoomFactor","FitSystem"), scopes, figures, and live plots so the user can watch the process. - Prefer a visible demonstration step before or alongside batch validation. Batch logs and exported artifacts are still required for acceptance, but they should not replace the visible model/plot experience.
- When an already-open MATLAB window is present, try to execute
open_systemin that visible session or bring the Simulink model window to the front. Confirm the expected model window title in the final report.
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago Changed · +51 lines 6f21dfca2cad
- 1mo ago First seen · 119 lines · 0 tokens per session scan A 74fb6fbd821b
matlab-orchestrator is a skill published in the GitHub repository wzyn20051216/matlab-agent-skills (27 stars, last pushed 6d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,043 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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