Author Modeladvisor Checks logo

Author Modeladvisor Checks

OrganizationPopular
matlab
author-modeladvisor-checks

Author or upgrade Model Advisor checks for Simulink and System Composer models. Covers the full lifecycle: guideline authoring, check specification, Model Advisor check implementation, and qualification testing. Use when creating new checks (edit-time, standard batch, config-parameter, auto-fix), converting legacy StyleOne/StyleTwo/StyleThree checks to modern DetailStyle, creating a guideline for modeling, enforcing a modeling rule, or testing/qualifying a check. Triggers on any modeling constraint (e.g., "blocks shall...", "signals must match...", "parameters shall be set to...").

Overview

Publishermatlab
Repositorysimulink-agentic-toolkit
Skill nameauthor-modeladvisor-checks
Stars
1.2K
Forks
112
Bundled files
21
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 21 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by matlab on GitHub. Read the source before you install it.

Installation

Install the Author Modeladvisor Checks AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/matlab/simulink-agentic-toolkit/tree/main/skills-catalog/verification-validation-and-test/author-modeladvisor-checks
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/matlab/simulink-agentic-toolkit.git /tmp/simulink-agentic-toolkit
mkdir -p .claude/skills
cp -r /tmp/simulink-agentic-toolkit/skills-catalog/verification-validation-and-test/author-modeladvisor-checks .claude/skills/author-modeladvisor-checks
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Author Modeladvisor Checks in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Author Modeladvisor Checks on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Author Modeladvisor Checks is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Author Model Advisor Check

When to Use

  • User provides any modeling constraint (e.g., "blocks shall...", "signals must match...")
  • User asks to create a guideline for modeling
  • User asks to author, implement, or write a Model Advisor check
  • User asks to test, qualify, or validate a custom check
  • User mentions "enforce", "standard", "compliance rule", or "modeling rule"

When NOT to Use

  • Post-hoc compliance checking of existing models — use checking-model-compliance
  • General model building without enforcement context — use building-simulink-models
  • Running existing checks or viewing results — use Model Advisor directly

CRITICAL: REVIEW GATES

You are a state machine that controls the ENTIRE workflow. Procedure reference files describe how to execute each step — you read them for details and execute their procedures inline.

There are 3 REVIEW GATES and 1 CONDITIONAL GATE where you pause and ask the user to choose before continuing. If the user provides feedback, incorporate it. If the user selects the recommended option, continue immediately.

If the user's prompt includes "proceed without asking", "skip confirmation", "without asking for confirmation", or similar — skip ALL review gates and proceed through the entire workflow without stopping. Do NOT use AskUserQuestion or any interactive tool in this mode.

Review Gates (use descriptive names — NEVER say "Gate 1", "Gate 2", "Gate 3"):

  1. Guideline ID & Scope Review — after deriving IDs and before writing the guideline
  2. Check Specification Review — after generating the check specification, before implementing
  3. Test Plan Review — after generating the test specification, before implementing tests

Conditional Gate (between Step 2 and Step 3):

  • Guideline & Test Transition — after check is authored, scan for guideline document. If missing, ask user whether they have one elsewhere or want to create one, then ask whether to proceed with testing. If guideline exists, skip this gate silently.

Between gates, proceed without stopping. Do NOT ask for input on operational decisions (which reference file to load, which pattern to use, how to structure code).

CRITICAL — User-facing output only: The user should only see decision points, artifact summaries after creation, and the Final Report. Do not expose internal workflow mechanics — no step transitions, reference file names, pattern selections, or gate numbering. Keep communication focused on what the user needs to review or what was produced.

How This Skill Works

You are the SINGLE entry point — all domain knowledge lives in references/. Load files on demand by matching the current step to the table below. Follow related: links in each file's frontmatter to discover additional context.

Proceed optimistically between review gates. Pause only at the 3 review gates and the conditional gate. If the user says "stop" or "no," halt immediately (see Halt & Cleanup below).

Reference catalog (see references/index.md for full descriptions):

StepLoadFiles
1 — GuidelineProcedureprocedures/author-guideline.md
2 — CheckProcedure + Pattern + APIsprocedures/author-check.md, patterns/{standard,edittime,config-param,format-template}.md, apis/{blocks,signals,stateflow,data-resolution,code-analysis,system-composer,framework}.md
3 — TestProcedure + Templatesprocedures/test-check.md, templates/{test-spec,test-recipes}.md
LegacyWorkflowworkflows/legacy-conversion.md
Spec formatsTemplatestemplates/{guideline,check-spec}.md

Entry Point: Detect Intent

Match the FIRST row that fits (order matters — check-specific intents take priority):

User SaysGo To
"Test/qualify my check..."STEP 3
"Author/write/create a check..." / "implement a check" / "Create a Model Advisor check..."Ask if user wants a guideline first, then STEP 2
"Create a guideline" / "enforce..." / "write a standard" / modeling constraint without the word "check"STEP 1 (full pipeline)

IMPORTANT — Entry for "Author/Create a check" intent: When the user mentions "check" (author, write, create, implement), ALWAYS ask first:

Would you like me to also create a formal guideline document for this rule, or just the check implementation?

Options:

  1. "Start with the guideline (full pipeline) (Recommended)" — go to STEP 1
  2. "Just the check, skip the guideline" — go to STEP 2 directly

If the prompt explicitly says "Only create the check" or "skip guideline", go to STEP 2 without asking.

If the prompt says "skip guideline and tests" or "Only create the check — skip guideline and tests", go to STEP 2, author the check, then present the Final Report immediately (do NOT proceed to Step 3).

If the prompt includes "proceed without asking" or "skip confirmation", skip this question and go directly to STEP 2.


STEP 1: Author Guideline

Derive defaults:

  • Guideline ID: Use cust_ prefix + sequential number (+ optional short descriptor), e.g., cust_0001, cust_0002_unitygain.
  • Output folder: Use the current working directory. Create a subfolder named after the guideline ID: ./<guideline_id>/

Guideline ID & Scope Review — Pause and ask the user:

Present the derived defaults and ask for confirmation:

I've derived: Guideline ID = `<id>`, Check ID = `mathworks.custom.<id>`, Output = `./<id>/`
Scope: <1-line summary of what the guideline will cover>

Options:

  1. "Use these IDs (Recommended)" — continue with derived defaults
  2. "I want to provide my own ID" — user provides custom IDs, incorporate them

If user selects option 2, incorporate their changes. Otherwise proceed immediately.

Execute: Follow references/procedures/author-guideline.md to produce the guideline.

Artifact notification (brief, no narration):

Guideline `<id>`: <title>
  → ./<id>/guideline_<id>.md
  → ./<id>/compliant_<short>.slx
  → ./<id>/violating_<short>.slx
  → ./<id>/example_correct.png (or text table if parameter-focused)
  → ./<id>/example_incorrect.png (or text table if parameter-focused)

Immediately continue to STEP 2 — do NOT wait for user input.


STEP 2: Generate Check Specification + Author Check

Guideline ID & Scope Review — Pause and ask the user:

If entering directly (not from Step 1), present the ID & Scope review gate before proceeding. If entering from Step 1, the ID was already confirmed — reuse it and skip the gate.

When the gate is needed, derive a default ID using the cust_ prefix (same format as Step 1) and present for confirmation.

Execute Spec: Generate check spec document following references/templates/check-spec.md, feeding in the guideline and user's original constraint. Save to <output_dir>/<id>-check-spec.md.

Present the spec to the user using the summary format defined in references/templates/check-spec.md — show key fields (ID, title, type, context, auto-fix) and the requirements table. End with the saved path.

Check Specification Review — Pause and ask the user:

Ask the user to review the check spec before implementation:

Options:

  1. "Looks good, proceed with implementation (Recommended)"
  2. "I have changes to the spec"

If user selects option 2, wait for their feedback, update the spec document accordingly, then proceed. Otherwise proceed immediately.

Execute Check: Follow references/procedures/author-check.md using the (potentially updated) spec as input. Read the appropriate pattern and API reference files based on the check type. Validate with check_matlab_code until 0 warnings/errors.

Artifact notification (brief):

Check authored: define<Name>.m
Registration: sl_customization.m
  → <path>

Guideline Scan & Transition Gate:

Before proceeding to tests, scan the output folder for a guideline document (guideline_*.md).

  • If a guideline already exists (e.g., Step 1 was executed earlier), skip this gate and continue directly to Step 3.

If NO guideline document exists:

  1. Pause and ask the user to choose from these options:
    • "Skip guideline, proceed to testing (Recommended)" — continue to Step 3
    • "I have a guideline document elsewhere" — user provides a path, copy/link it to the output folder, then continue to Step 3
    • "Create a formal guideline first" — execute Step 1 (author-guideline procedure) before continuing to Step 3
    • "Skip guideline and skip testing" — present Final Report with check artifacts only

If the user selects "I have a guideline document elsewhere", ask for the path, read it, and use it as the source guideline for test derivation.

If the user selects "Create a formal guideline first", execute Step 1 using the constraint that was used to author the check, then return here and continue to Step 3.

Continue to STEP 3 after the gate resolves.


STEP 3: Generate Test Spec + Qualify with Tests

CRITICAL — TDD Independence: Derive test cases ONLY from the guideline and the user's original constraint. NEVER read the check spec or implementation. See references/procedures/test-check.md § TDD Independence Guardrail.

Execute Test Spec: Generate test spec document following references/templates/test-spec.md, feeding in the guideline and the user's original constraint. Save to <output_dir>/<id>-test-spec.md.

Present the test spec to the user using the summary format defined in references/templates/test-spec.md — show key fields (guideline ID, check ID, check type, auto-fix) and the test cases table. End with the saved path.

Test Plan Review — Pause and ask the user:

Ask the user to review the test spec before implementation:

Options:

  1. "Looks good, proceed with test generation (Recommended)"
  2. "I have changes to the test plan"

If user selects option 2, wait for their feedback, update the test spec accordingly, then proceed. Otherwise proceed immediately.

Execute Tests: Follow references/procedures/test-check.md using the (potentially updated) test spec as input. Run tests and present results (N passed, N failed).

CRITICAL — Test Execution Retry Limit: If tests fail after the initial run:

  • Analyze the failure root cause (model issue vs. check logic vs. test assertion)
  • Apply a targeted fix
  • Re-run tests
  • Maximum 3 retry attempts. If tests still fail after 3 retries, STOP and report the status honestly:
    Tests: X passed, Y failed (after 3 fix attempts)
    Remaining failures: <list with brief description>
    Recommended next steps: <what the user should investigate>
  • Do NOT enter an unbounded fix loop

After tests complete (or retry limit reached), present the Final Report. Workflow ends.


Halt & Cleanup

If the user says "stop", "no", "halt", or "don't continue" at ANY point during optimistic execution:

  1. Stop immediately — do not begin the next step
  2. Delete artifacts from the step currently in progress (not yet completed):
    • If halted during STEP 2: delete check spec, check definition .m, and sl_customization.m entries that were being generated
    • If halted during STEP 3: delete test spec, test class .m, and test model .slx files that were being generated
  3. Keep all completed step artifacts — guideline stays if Step 1 finished, check stays if Step 2 finished
  4. Present Final Report showing what was kept and what was removed

Final Report

Present this when the workflow completes (all steps done) or when halted:

## Workflow Summary

| Step | Artifact | Path | Status |
|------|----------|------|--------|
| Guideline | <id>: <title> | <path> | Done / Skipped |
| Demo Models | compliant.slx, violating.slx | <path> | Done / Skipped |
| Screenshots | example_correct.png, example_incorrect.png | <path> | Done / Skipped |
| Check Spec | <id>-check-spec.md | <path> | Done / Removed |
| Check | define<Name>.m | <path> | Done / Removed |
| Registration | sl_customization.m | <path> | Done / Removed |
| Test Spec | <id>-test-spec.md | <path> | Done / Removed |
| Tests | Test<Name>.m | <path> | Done / Removed |
| Test Models | <list>.slx | <path> | Done / Removed |

**Status:** <Pipeline completed / Halted at <step description> by user request>

Copyright 2026 The MathWorks, Inc.


Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Author Modeladvisor Checks AI skill do?

Author or upgrade Model Advisor checks for Simulink and System Composer models. Covers the full lifecycle: guideline authoring, check specification, Model Advisor check implementation, and qualification testing. Use when creating new checks (edit-time, standard batch, config-parameter, auto-fix), converting legacy StyleOne/StyleTwo/StyleThree checks to modern DetailStyle, creating a guideline for modeling, enforcing a modeling rule, or testing/qualifying a check. Triggers on any modeling constraint (e.g., "blocks shall...", "signals must match...", "parameters shall be set to...").

Why use Author Modeladvisor Checks on TypingMind?

Because you install it once and use it with any model. Author Modeladvisor Checks is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Author Modeladvisor Checks in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/matlab/simulink-agentic-toolkit/tree/main/skills-catalog/verification-validation-and-test/author-modeladvisor-checks. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Author Modeladvisor Checks?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Author Modeladvisor Checks?

As many as you like. As long as a model supports skills, you can use Author Modeladvisor Checks with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Author Modeladvisor Checks AI skill free?

It is published on GitHub by matlab. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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