matlab-optimize-performance

matlab-optimize-performance is a skill for Claude Code from matlab/matlab-agentic-toolkit. It costs 59 tokens per session (2,017 once invoked), scanned A, original, no licence file.

A measured workflow for making MATLAB code run faster. It covers establishing a baseline, profiling the code, changing the likely bottleneck, measuring again, and checking for regressions.

In plain words
What is it for?
Use it to profile MATLAB programs, optimize slow sections, compare execution times, and verify that performance changes do not break the code.
Why use it?
It helps focus optimization on the part that actually limits speed instead of making unsupported assumptions. Repeated measurement shows whether a change improved the program.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the matlab-software-development plugin — 7 skills shipped together

Good fit Use it to profile MATLAB programs, optimize slow sections, compare execution times, and verify that performance changes do not break the code.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/matlab/matlab-agentic-toolkit/matlab-optimize-performance
Install

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.

Any agent
npx skills add matlab/matlab-agentic-toolkit --skill matlab-optimize-performance
Clone the repo
git clone --depth 1 https://github.com/matlab/matlab-agentic-toolkit

Made for: Claude Code.

Or install matlab-software-development, the plugin that ships this one along with the rest of its 7 skills.

Wrote 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.

agentmods badge for matlab-optimize-performance

README.md
[![agentmods](https://agentmods.dev/badge/skills/matlab/matlab-agentic-toolkit/matlab-optimize-performance/github.svg)](https://agentmods.dev/skills/matlab/matlab-agentic-toolkit/matlab-optimize-performance)
Your own site
<a href="https://agentmods.dev/skills/matlab/matlab-agentic-toolkit/matlab-optimize-performance"><img src="https://agentmods.dev/badge/skills/matlab/matlab-agentic-toolkit/matlab-optimize-performance/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.

agentmods 80×15 button for matlab-optimize-performance

Your own site · 80×15
<a href="https://agentmods.dev/skills/matlab/matlab-agentic-toolkit/matlab-optimize-performance"><img src="https://agentmods.dev/badge/skills/matlab/matlab-agentic-toolkit/matlab-optimize-performance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,017 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00059 $0.02017
Opus 5 $0.00030 $0.01009
Sonnet 5 $0.00012 $0.00403
Haiku 4.5 $0.00006 $0.00202

Measured 8d ago against content hash f5a0d2eddef8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

matlab-optimize-performance 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 8d 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.

skills-catalog/matlab-software-development/matlab-optimize-performance/SKILL.md · 210 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Files

What ships with it

3 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.

Changes

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.

  1. 8d ago First seen · 210 lines · 59 tokens per session scan A f5a0d2eddef8

Subscribe to this mod's changes

matlab-optimize-performance is a skill published in the GitHub repository matlab/matlab-agentic-toolkit (1,030 stars, last pushed today), with no licence file. It adds 59 tokens to every session and 2,017 once invoked, about $0.0003 per session on Opus 5. 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 2026-09-03.

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