Agent skill

Simulink Baseline Test

by hashgraph-online in hashgraph-online/awesome-codex-plugins

Create a MATLAB baseline regression test class for a Simulink model.

Apache-2.0Auto-check passedTesting & QA

Install Simulink Baseline Test

skills CLI

$ npx skills add hashgraph-online/awesome-codex-plugins --skill simulink-baseline-test -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install hashgraph-online/awesome-codex-plugins simulink-baseline-test --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/summer521521/MATLAB_Simulink_plugin/skills/simulink-baseline-test .claude/skills/simulink-baseline-test && rm -rf skills-src

Use ~/.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/

Paste into Claude Code

Install the "simulink-baseline-test" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/summer521521/MATLAB_Simulink_plugin/skills/simulink-baseline-test into .claude/skills/simulink-baseline-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "simulink-baseline-test", 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

$skill-installer install https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/summer521521/MATLAB_Simulink_plugin/skills/simulink-baseline-test

Type 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.

skills CLI

$ npx skills add hashgraph-online/awesome-codex-plugins --skill simulink-baseline-test -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install hashgraph-online/awesome-codex-plugins simulink-baseline-test --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/summer521521/MATLAB_Simulink_plugin/skills/simulink-baseline-test .agents/skills/simulink-baseline-test && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "simulink-baseline-test" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/summer521521/MATLAB_Simulink_plugin/skills/simulink-baseline-test into .agents/skills/simulink-baseline-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "simulink-baseline-test", 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.

skills CLI

$ npx skills add hashgraph-online/awesome-codex-plugins --skill simulink-baseline-test -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install hashgraph-online/awesome-codex-plugins simulink-baseline-test --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/summer521521/MATLAB_Simulink_plugin/skills/simulink-baseline-test .cursor/skills/simulink-baseline-test && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "simulink-baseline-test" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/summer521521/MATLAB_Simulink_plugin/skills/simulink-baseline-test into .cursor/skills/simulink-baseline-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "simulink-baseline-test", 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

$ gemini skills install https://github.com/hashgraph-online/awesome-codex-plugins.git --path plugins/summer521521/MATLAB_Simulink_plugin/skills/simulink-baseline-test

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add hashgraph-online/awesome-codex-plugins --skill simulink-baseline-test -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install hashgraph-online/awesome-codex-plugins simulink-baseline-test --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/summer521521/MATLAB_Simulink_plugin/skills/simulink-baseline-test .gemini/skills/simulink-baseline-test && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "simulink-baseline-test" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/summer521521/MATLAB_Simulink_plugin/skills/simulink-baseline-test into .gemini/skills/simulink-baseline-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "simulink-baseline-test", 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.

GitHub CLI

$ gh skill install hashgraph-online/awesome-codex-plugins simulink-baseline-test

Installs 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).

skills CLI

$ npx skills add hashgraph-online/awesome-codex-plugins --skill simulink-baseline-test -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/summer521521/MATLAB_Simulink_plugin/skills/simulink-baseline-test .github/skills/simulink-baseline-test && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "simulink-baseline-test" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/summer521521/MATLAB_Simulink_plugin/skills/simulink-baseline-test into .github/skills/simulink-baseline-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "simulink-baseline-test", 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.

skills CLI

$ npx skills add hashgraph-online/awesome-codex-plugins --skill simulink-baseline-test -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install hashgraph-online/awesome-codex-plugins simulink-baseline-test --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/summer521521/MATLAB_Simulink_plugin/skills/simulink-baseline-test .opencode/skills/simulink-baseline-test && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "simulink-baseline-test" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/summer521521/MATLAB_Simulink_plugin/skills/simulink-baseline-test into .opencode/skills/simulink-baseline-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "simulink-baseline-test", 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: simulink-baseline-test
GitHub stars: 1.3k
Token cost: ~1.5k tokens
SKILL.md length: 309 words
Files: 1
Skills in repo: 714
Repo updated: Oct 9, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Create a MATLAB baseline regression test class for a Simulink model.

Works in 5 steps: Analyze the Model → Configure Signal Logging → Capture Baseline → …
Asked to create a baseline test
SKILL.md covers Workflow, Complete Test Class Template and Anti-Patterns — Do NOT
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Simulink Baseline Test is an agent skill from hashgraph-online/awesome-codex-plugins. Create a MATLAB baseline regression test class for a Simulink model. Use when asked to create a baseline test, golden-reference test, or regression test for a Simulink model.

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Testing & QA. The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is Apache-2.0.

When your agent uses it

Asked to create a baseline test
Golden-reference test
Regression test for a Simulink model

Example prompts

“/simulink-baseline-test”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

Analyze the Model
Configure Signal Logging
Capture Baseline
Write the Test Class
Run and Verify

What it can do on your machine

Read from SKILL.md and the folder at commit 9e7b281. 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

Simulink Baseline Test loads about 1.5k tokens when it runs. Until then it costs about 49 tokens; SKILL.md has 309 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~49
When it runs · the whole SKILL.md, loaded when a task matches: ~1.5k

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

The full file from hashgraph-online/awesome-codex-plugins at commit 9e7b281, republished under its Apache-2.0 licence (© hashgraph-online). 309 words, ~1,473 tokens.

Download SKILL.mdSave it as .claude/skills/simulink-baseline-test/SKILL.md (or your agent's skills folder).

name: simulink-baseline-test
description: Create a MATLAB baseline regression test class for a Simulink model. Use when asked to create a baseline test, golden-reference test, or regression test for a Simulink model.

Simulink Baseline Test Creation

Creates a MATLAB test class that captures and validates Simulink model outputs against a saved baseline.

Workflow

Step 1: Analyze the Model

Resolve the model name and explore its structure to select 2–5 signals representative of the model's key behavior.

matlab

modelName = bdroot(gcs);

% List top-level subsystems
opts = Simulink.FindOptions;
opts.SearchDepth = 1;
topBlocks = getfullname(Simulink.findBlocks(modelName, opts));
for i = 1:numel(topBlocks)
    bt = get_param(topBlocks{i}, 'BlockType');
    fprintf('  [%s] %s\n', bt, topBlocks{i});
end

Explore subsystem ports, bus selectors, scopes, and outports to understand signal flow. Look for signals that best represent the model's overall behavior — plant outputs, actuator commands, sensor readings, or any other meaningful quantities.

Step 2: Configure Signal Logging

Enable logging on selected output ports:

matlab

ph = get_param('<block path>', 'PortHandles');
set(ph.Outport(1), 'DataLogging', 'on');
set(ph.Outport(1), 'Name', '<signalName>');

Never use To Workspace blocks for signal capture.

Step 3: Capture Baseline

Simulate and save the full logsout Dataset — not individual timeseries:

matlab

in = Simulink.SimulationInput(modelName);
out = sim(in);

baselineLogsout = out.logsout;
save(fullfile(modelDir, 'baselineData.mat'), 'baselineLogsout');

Step 4: Write the Test Class

Follow these mandatory conventions:

Inherit from `sltest.TestCase`

matlab

classdef MyModelBaselineTest < sltest.TestCase

Not matlab.unittest.TestCase. This gives access to verifySignalsMatch.

Single simulation, single comparison

Simulate the model once. Compare all signals in one call using verifySignalsMatch:

matlab

testCase.verifySignalsMatch(out.logsout, S.baselineLogsout, ...
    'RelTol', testCase.RelTol, ...
    'AbsTol', testCase.AbsTol);

Never loop through individual signals. Never simulate once per signal.

Use `RelTol` and `AbsTol` directly

Pass 'RelTol' and 'AbsTol' as name-value arguments. MATLAB applies RelTol element-wise per sample; AbsTol acts as a floor for values near zero. Never manually scale tolerances (e.g., max(abs(data)) * relTol).

Smart model teardown with `bdIsLoaded`

Only close the model if it was not already loaded before the test:

matlab

wasLoaded = bdIsLoaded(testCase.ModelName);
load_system(testCase.ModelName);
if ~wasLoaded
    testCase.addTeardown(@()close_system(testCase.ModelName, 0));
end

Do NOT manually run `PreLoadFcn`

load_system automatically triggers the model's PreLoadFcn callback. Never call evalin('base', get_param(model, 'PreLoadFcn')).

Include a static `generateBaseline()` method

For easy re-baselining after intentional changes:

matlab

methods (Static)
    function generateBaseline()
        modelName = MyModelBaselineTest.ModelName;
        load_system(modelName);
        in = Simulink.SimulationInput(modelName);
        out = sim(in);
        baselineLogsout = out.logsout; %#ok<NASGU>
        save(MyModelBaselineTest.BaselineFile, 'baselineLogsout');
        close_system(modelName, 0);
    end
end

Step 5: Run and Verify

Execute the test and confirm all signals match:

matlab

results = runtests('MyModelBaselineTest');

Complete Test Class Template

matlab

classdef MyModelBaselineTest < sltest.TestCase

    properties (Constant)
        ModelName    = 'MyModel'
        BaselineFile = fullfile(fileparts(mfilename('fullpath')), 'baselineData.mat')
        RelTol = 1e-6
        AbsTol = 1e-8
    end

    methods (TestClassSetup)
        function loadModelAndBaseline(testCase)
            wasLoaded = bdIsLoaded(testCase.ModelName);
            load_system(testCase.ModelName);
            if ~wasLoaded
                testCase.addTeardown(@()close_system(testCase.ModelName, 0));
            end

            testCase.assertTrue(isfile(testCase.BaselineFile), ...
                sprintf('Baseline not found: %s\nRun %s.generateBaseline() first.', ...
                testCase.BaselineFile, mfilename('class')));
        end
    end

    methods (Test)
        function testAllSignalsMatchBaseline(testCase)
            in  = Simulink.SimulationInput(testCase.ModelName);
            out = sim(in);

            S = load(testCase.BaselineFile, 'baselineLogsout');

            testCase.verifySignalsMatch(out.logsout, S.baselineLogsout, ...
                'RelTol', testCase.RelTol, ...
                'AbsTol', testCase.AbsTol);
        end
    end

    methods (Static)
        function generateBaseline()
            modelName = MyModelBaselineTest.ModelName;
            load_system(modelName);

            in  = Simulink.SimulationInput(modelName);
            out = sim(in);

            baselineLogsout = out.logsout; %#ok<NASGU>
            save(MyModelBaselineTest.BaselineFile, 'baselineLogsout');
            fprintf('Baseline saved to: %s\n', MyModelBaselineTest.BaselineFile);

            close_system(modelName, 0);
        end
    end
end

Anti-Patterns — Do NOT

Simulate once per signal (parameterized tests calling sim each time)
Loop through signals to verify individually — use verifySignalsMatch
Manually scale tolerances (max(abs(data)) * relTol) — use 'RelTol' directly
Save individual timeseries — save the full logsout Dataset
Unconditionally close the model — check bdIsLoaded first
Manually call PreLoadFcn — load_system handles it
Use matlab.unittest.TestCase — use sltest.TestCase for verifySignalsMatch

Files

Just SKILL.md in plugins/summer521521/MATLAB_Simulink_plugin/skills/simulink-baseline-test of hashgraph-online/awesome-codex-plugins.

Open the folder on GitHubat commit 9e7b281

Compare with similar skills

Simulink Baseline Test 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.

Simulink Baseline Test compared with similar skills
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Simulink Baseline Test this skillhashgraph-online/awesome-codex-plugins	1.3k	—	~1.5k	Automated safety check: Pass	Apache-2.0	today
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Diagnosing Bugsfossasia/eventyay-interpretation	1.6k	32 repos	~2.1k	Automated safety check: Pass	Apache-2.0	3 days ago
TDDpietheinstrengholt/rssmonster	564	30 repos	~906	Automated safety check: Pass	MIT	yesterday
TDD WorkflowhellangleZ/burn-in-cceverywhere-ralph	112	11 repos	~2.4k	Automated safety check: Pass	None	8 mo ago
TDDsanity-io/sanity	6.4k	20 repos	~1k	Automated safety check: Pass	MIT	today

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Questions about Simulink Baseline Test

What does Simulink Baseline Test do?

Create a MATLAB baseline regression test class for a Simulink model. Simulink Baseline Test is an agent skill from hashgraph-online/awesome-codex-plugins. Create a MATLAB baseline regression test class for a Simulink model.

When should I use Simulink Baseline Test?

Simulink Baseline Test fits situations like: asked to create a baseline test; golden-reference test; regression test for a Simulink model.

How do I install Simulink Baseline Test in Claude Code?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill simulink-baseline-test -a claude-code`. Or copy the skill folder (plugins/summer521521/MATLAB_Simulink_plugin/skills/simulink-baseline-test in hashgraph-online/awesome-codex-plugins) into .claude/skills/simulink-baseline-test in your project. Claude Code loads it when a task matches its description.

How do I install Simulink Baseline Test in Codex?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill simulink-baseline-test -a codex`. Or copy the skill folder (plugins/summer521521/MATLAB_Simulink_plugin/skills/simulink-baseline-test in hashgraph-online/awesome-codex-plugins) into .agents/skills/simulink-baseline-test in your project. Codex loads it when a task matches its description.

Can I use Simulink Baseline Test 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 hashgraph-online/awesome-codex-plugins --skill simulink-baseline-test -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/simulink-baseline-test, .gemini/skills/simulink-baseline-test, .github/skills/simulink-baseline-test and .opencode/skills/simulink-baseline-test in your project.

What does Simulink Baseline Test need to run?

SKILL.md names no scripts, command-line tools or credentials: Simulink Baseline Test is instructions for the agent only.

Does Simulink Baseline Test 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 Simulink Baseline Test 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 Simulink Baseline Test use?

Simulink Baseline Test is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Simulink Baseline Test use?

About 1.5k tokens (SKILL.md is roughly 5.9k 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 Simulink Baseline Test?

Skills that share tags, products or a category with Simulink Baseline Test: Web Application Testing (anthropics/skills, 180k stars), Diagnosing Bugs (fossasia/eventyay-interpretation, 1.6k stars), TDD (pietheinstrengholt/rssmonster, 564 stars) and TDD Workflow (hellangleZ/burn-in-cceverywhere-ralph, 112 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Simulink Baseline Test?

hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,255 GitHub stars. The repository holds 714 skills in this directory. The repository was last updated on October 9, 2026.

Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Simulink Baseline Test

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Simulink Baseline Test Creation

Workflow

Step 1: Analyze the Model

Step 2: Configure Signal Logging

Step 3: Capture Baseline

Step 4: Write the Test Class

Inherit from sltest.TestCase

Single simulation, single comparison

Use RelTol and AbsTol directly

Smart model teardown with bdIsLoaded

Do NOT manually run PreLoadFcn

Include a static generateBaseline() method

Step 5: Run and Verify

Complete Test Class Template

Anti-Patterns — Do NOT

Files

Compare with similar skills

Similar skills

More from hashgraph-online/awesome-codex-plugins

Related

Questions about Simulink Baseline Test

Inherit from `sltest.TestCase`

Use `RelTol` and `AbsTol` directly

Smart model teardown with `bdIsLoaded`

Do NOT manually run `PreLoadFcn`

Include a static `generateBaseline()` method