specifying-mbd-algorithms

specifying-mbd-algorithms is a skill for Claude Code from matlab/simulink-agentic-toolkit. It costs 62 tokens per session (1,575 once invoked), scanned A, original, no licence file.

A guide for describing algorithms before they are built in MATLAB or model-based design tools. Model-Based Design means defining and testing a system with models before implementing it in a finished product.

In plain words
What is it for?
Use it to specify controllers, signal-processing logic, diagnostics, estimators, and other algorithms implemented in Simulink, Stateflow, System Composer, or MATLAB Function blocks.
Why use it?
It turns an algorithm idea into organized plans for the system, its architecture, implementation, and tests. This makes the intended behavior clearer before development begins.

Skill for Claude Code

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

Part of the model-based-design-core plugin — 11 skills shipped together

Good fit Use it to specify controllers, signal-processing logic, diagnostics, estimators, and other algorithms implemented in Simulink, Stateflow, System Composer, or MATLAB Function blocks.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/matlab/simulink-agentic-toolkit/specifying-mbd-algorithms
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/simulink-agentic-toolkit --skill specifying-mbd-algorithms
Clone the repo
git clone --depth 1 https://github.com/matlab/simulink-agentic-toolkit

Made for: Claude Code.

Or install model-based-design-core, the plugin that ships this one along with the rest of its 11 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 specifying-mbd-algorithms

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/matlab/simulink-agentic-toolkit/specifying-mbd-algorithms"><img src="https://agentmods.dev/badge/skills/matlab/simulink-agentic-toolkit/specifying-mbd-algorithms.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,575 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 $0.00062 $0.01575
Opus 5.5 $0.00025 $0.00630
Sonnet 5.5 $0.00012 $0.00315
Haiku 4.5 $0.00006 $0.00158

Measured 1mo ago against content hash 464eec93f7bf, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

specifying-mbd-algorithms 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 1mo 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/model-based-design-core/specifying-mbd-algorithms/SKILL.md · 157 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

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. 1mo ago First seen · 157 lines · 62 tokens per session scan A 464eec93f7bf

Subscribe to this mod's changes

specifying-mbd-algorithms is a skill published in the GitHub repository matlab/simulink-agentic-toolkit (1,236 stars, last pushed 5d ago), with no licence file. It adds 62 tokens to every session and 1,575 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-30.

Related

Other skills, from other repositories

matlab-use-scenario-builder

Generate driving scenes, scenarios, road surfaces, and 3D content from scenariobuilder. sensor data (GPS, camera, lidar, actor tracks) using Scenario Builder for Automated Driving Toolbox. BUILD, EXPORT, or AUGMENT a virtual scenario/scene/map: ego or actor trajectories, trajectory smoothing, OpenCRG road-surface…

matlab/matlab-agentic-toolkit · 231 tokens

matlab-simulate-radar-detections

Configure, simulate, debug, and analyze radarDataGenerator within radarScenario. Use for: interactively building radar detection scenarios from datasheets or performance requirements; diagnosing missed detections and configuration errors; interpreting sensor spherical, body, and scenario-frame outputs; deriving…

matlab/matlab-agentic-toolkit · 92 tokens

matlab-fit-curve

Fit curves and surfaces interactively with the Curve Fitter app for a complete no-code fitting workflow. Invoke this skill when the Curve Fitter app, cftool, curveFitter, or "curve fitting tool/app" is mentioned in any way. Also use when exploring or comparing fit types (regression, interpolation, smoothing, splines…

matlab/matlab-agentic-toolkit · 121 tokens

matlab-solve-pde

End-to-end finite element analysis in MATLAB PDE Toolbox — geometry creation, model setup, solve, and post-processing in one skill. Use when building geometry from primitives or file import, setting up femodel with BCs/loads/materials, solving thermal/structural/EM problems, and extracting or visualizing results.…

matlab/matlab-agentic-toolkit · 214 tokens

matlab-design-radar-waveform

Design, select, and analyze waveforms for radar, sonar, and active sensing using the Phased Array System Toolbox. Covers LFM, NLFM, FMCW, phase-coded, CW, stepped FM, custom IQ, ambiguity functions, sidelobe reduction, and Doppler tolerance. Key objects: phased.LinearFMWaveform, phased.NonlinearFMWaveform…

matlab/matlab-agentic-toolkit · 163 tokens

matlab-cosimulate-sumo-simulink

Build Simulink models that co-simulate with Eclipse SUMO traffic simulator. Use when creating SUMO-Simulink co-simulation, traffic simulation, TraCI connection, vehicle-in-the-loop testing, or ADAS scenario validation with SUMO. Covers Server/Client setup, Reader/Writer/Actor block configuration, random traffic…

matlab/matlab-agentic-toolkit · 121 tokens