Agent skill · Business & Finance

author-modeladvisor-checks

Author or upgrade Model Advisor checks for Simulink and System Composer models. Use when creating new checks (edit-time, standard batch, config-parameter, auto-fix) or converting legacy StyleOne/StyleTwo/StyleThree checks to modern DetailStyle. Covers DetailStyle callbacks, ResultDetail reporting, sl_customization registration, and edit-time EdittimeCheck classes.

matlabgithub.com/matlabGitHub ↗
claude-codecodexcopilotNOASSERTION
Install
npx skills add matlab/simulink-agentic-toolkit --skill author-modeladvisor-checks --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 14
SKILL.md size: 8 KB
Bundled scripts: none
Version: 1.1
Declared author: MathWorks
Path: skills-catalog/verification-validation-and-test/author-modeladvisor-checks/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 903
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Check Authoring Create or upgrade Model Advisor checks to use modern DetailStyle callbacks and ResultDetail reporting. This skill prevents common authoring mistakes: using deprecated StyleOne/StyleTwo patterns, incorrect registration, missing result formatting, and wrong callback contexts. When upgrading legacy checks, read the existing code, identify the legacy pattern, and rewrite using the modern patterns below. ## When to Use - Creating a new Model Advisor check (standard, edit-time, or config-parameter) - Converting a legacy StyleOne/StyleTwo/StyleThree check to modern DetailStyle with ResultDetail - Adding an edit-time canvas warning for a naming or style rule - Validating configuration parameters programmatically with auto-fix - Enforcing a modeling convention with auto-fix actions - Checking System Composer architecture models (components, ports, connectors, interfaces, stereotypes) ## When NOT to Use - Running or debugging existing checks — use Model Advisor UI - Writing Simulink Test test cases - Querying model structure without creating a check — use `model_query_params` - Modifying Model Advisor configuration or preferences ## Workflow ### New Check Workflow 1. **Dete

What's inside
Steps it walks through
  1. When to Use
  2. When NOT to Use
  3. Workflow
  4. New Check Workflow
  5. Legacy Conversion Workflow
  6. Step 1: Choose the Check Pattern
  7. Step 2: Choose the API Pattern(s) for Check Logic
  8. Conventions
  9. Code Generation
  10. Naming
  11. Files to Generate
  12. Verification
  13. Review Gate
Ships with 13 files
  • manifest.yaml
  • references/api-blocks.md
  • references/api-code-analysis.md
  • references/api-data-resolution.md
  • references/api-framework.md
  • references/api-signals.md
  • references/api-stateflow.md
  • references/api-system-composer.md
  • references/pattern-config-param.md
  • references/pattern-edittime.md
  • references/pattern-format-template.md
  • references/pattern-standard.md
  • references/workflow-legacy-conversion.md
More from simulink-agentic-toolkit
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About this skill
What does the author-modeladvisor-checks skill do?

Author or upgrade Model Advisor checks for Simulink and System Composer models. Use when creating new checks (edit-time, standard batch, config-parameter, auto-fix) or converting legacy StyleOne/StyleTwo/StyleThree checks to modern DetailStyle. Covers DetailStyle callbacks, ResultDetail reporting, sl_customization registration, and edit-time EdittimeCheck classes.

How do I install it?

Run `npx skills add matlab/simulink-agentic-toolkit --skill author-modeladvisor-checks --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From matlab/simulink-agentic-toolkit, a repository with 903 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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