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checking-model-compliance

Use this skill when the user asks to check Simulink model compliance against a standard (MISRA, MAB, JMAAB, ISO, DO, IEC, EN, CERT C/CWE, AUTOSAR, Simulink Code Inspector (SLCI)), wants to run Model Advisor checks, or needs a compliance report with fix suggestions.

Install / Use

npx skills add matlab/simulink-agentic-toolkit --skill checking-model-compliance

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

93/100

Category

Legal

Supported Platforms

Universal

Our assessment of checking-model-compliance

checking-model-compliance scores 93/100 on our quality scale, 35th of 238 Legal skills we index (top 15%).

Its SKILL.md is 12 KB long, well organised into 36 sections with 4 code examples: a thorough specification that gives an agent plenty to work with.

With 1,148 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
30/30
Structure
20/20
Description
15/15
Adoption
13/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 16 days ago, so checking-model-compliance is actively maintained.
  • No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
  • Its trust signals score 88/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

checking-model-compliance compared with similar skills

All 4 of these similar skills score higher than checking-model-compliance; compare them before choosing.

SkillScoreStarsUpdatedFormat
checking-model-compliance (this skill)by matlab931.1k16d agoSKILL.md
algorithmic-artby anthropics100177.9k11d agoSKILL.md
pptxby anthropics100177.9k11d agoSKILL.md
designby nextlevelbuilder100130.2k12d agoSKILL.md
ui-ux-pro-maxby nextlevelbuilder100130.2k12d agoSKILL.md

Frequently asked questions

How do I install checking-model-compliance?
Run npx skills add matlab/simulink-agentic-toolkit --skill checking-model-compliance. The install tabs above show the steps for each supported agent.
Which AI agents does checking-model-compliance work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is checking-model-compliance safe to use?
It declares no license and scores 88/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is checking-model-compliance still maintained?
The repository was last updated 16 days ago, so checking-model-compliance is actively maintained.

name: checking-model-compliance description: "Use this skill when the user asks to check Simulink model compliance against a standard (MISRA, MAB, JMAAB, ISO, DO, IEC, EN, CERT C/CWE, AUTOSAR, Simulink Code Inspector (SLCI)), wants to run Model Advisor checks, or needs a compliance report with fix suggestions. For JMAAB/MAB, supplement deterministic checks with agentic review of uncheckable guidelines." license: https://www.mathworks.com/content/dam/mathworks/license/pmrl/license.md metadata: author: MathWorks version: "0.6"

Checking Model Compliance

Runs Model Advisor checks for a named standard (or default configuration) and delivers a prioritized summary with fix suggestions.

When to Use

  • Checking whether a Simulink model complies with a standard (MISRA, MAB, JMAAB, ISO 26262, DO-178C, etc.)
  • Running Model Advisor checks against a named compliance standard
  • Generating a compliance report with prioritized findings and fix suggestions
  • Running a custom Model Advisor configuration file against a model
  • Justifying or waiving specific compliance violations

When NOT to Use

  • Building or editing model structure → building-simulink-models
  • Writing behavioral tests → testing-simulink-models
  • Structural validation only (unconnected ports) → model_check tool directly
  • General model quality questions without a named standard (e.g., "is my model well decomposed?") — this requires a different workflow

Supported Standards

| Standard | Accepted Inputs | |----------|----------------| | MISRA C:2023 | MISRA_C, MISRA C, MISRA | | MISRA Simulink/Stateflow | MISRA_SLSF, MISRA Simulink | | MAB | MAB, MAAB | | JMAAB v5.1 | JMAAB | | JMAAB v6 | JMAAB_V6, JMAAB06 | | ISO 26262 | ISO_26262, ISO 26262 | | ISO 25119 | ISO_25119, ISO 25119 | | DO-178C/DO-331 | DO_178C, DO-178C, DO-178B, DO-331 | | DO-254 | DO_254, DO-254 | | IEC 61508 | IEC_61508, IEC 61508 | | IEC 62304 | IEC_62304, IEC 62304 | | EN 50128/EN 50657 | EN_50128, EN 50128, EN_50657 | | Secure Coding (CERT C, CWE) | SECURITY, CERT_C, CWE, secure coding | | AUTOSAR | AUTOSAR | | Simulink Code Inspector (SLCI) | SLCI, Simulink Code Inspector |

Equivalent check sets (run once, report for both):

  • ISO 26262, IEC 61508, IEC 62304, EN 50128/EN 50657, ISO 25119
  • DO-178B, DO-178C, DO-331

Custom Checks and Configurations

Users may have custom Model Advisor checks or custom configuration files (.json exported from Model Advisor Configuration Editor). These are not standards — they are handled via:

  • Custom configuration file: User provides a path → use model_advisor_run with 'configuration' parameter directly (Path B)
  • Custom check IDs: User provides specific check IDs → use model_advisor_run with 'checks' parameter directly (skip resolution)

Prerequisites

All script functions are in the skill's scripts/ directory. Use evaluate_matlab_code with project_path set to the skill's scripts/ folder so MATLAB can find them. Never use addpath.

Tools provided (always use these — never improvise with raw Model Advisor API):

| Function | Inputs | Output | Example | |----------|--------|--------|---------| | model_advisor_resolve_checks | 'standard', '<NAME>' | struct with checks, checks_count, status | model_advisor_resolve_checks('standard', 'JMAAB') | | model_advisor_run | system, 'checks', {ids} or system, 'configuration', path | YAML with findings, status, check_summary | model_advisor_run('MyModel', 'checks', checkIds, 'token_budget', 8000) | | model_advisor_justify | model, checkId, blockPath, text | struct with status | model_advisor_justify('MyModel', 'mathworks.jmaab.db_0032', 'MyModel/Sub', 'Waived per review') | | detect_default_config | modelName | struct with config_path or empty | detect_default_config('MyModel') |

Workflow

1. Identify Standard, Model, and Scope

Determine from user request:

  • Standard — map to supported name (see table). Defaults: "MISRA" → MISRA_C. For "JMAAB" without version → ask user (v5.1 or v6)
  • Model — .slx file (ask if ambiguous)
  • Scope — full model (default) or subsystem path (e.g., Model/Controller)

Disambiguation rules:

  • "JMAAB" without version specifier → ask (v5.1 or v6 — two distinct check sets)
  • "ISO" without specifier → ask (multiple supported)
  • "DO" without specifier → ask (178C vs 254)
  • Multiple standards requested → resolve each, compare sets, run once if identical

2. Choose Path

Path A — Standard named: Proceed to step 3.

Path B — No standard, user says "run Model Advisor" / "check my model": Run detect_default_config(modelName). If config found → skip to step 4. If empty → ask which standard (show supported list).

3. Resolve Checks (Path A only)

model_advisor_resolve_checks('standard', '<STANDARD_NAME>')
  • status: success → note checks_count, inform user
  • status: truncated → use returned config file path in step 4
  • status: error → report and stop

Gate: If checks_count > 100, confirm with user before proceeding.

Shortcut: If the user already has specific check IDs, call model_advisor_run directly with those IDs and skip to step 5.

4. Run Checks

model_advisor_run('<system>', 'checks', {<check_ids>})          % inline checks
model_advisor_run('<system>', 'configuration', '<config_path>') % config file

Use 'token_budget', 8000. If truncated, read full results from full_results path.

5. Analyze Findings

Classify from YAML response:

  1. Critical (Failed) — must fix for compliance
  2. Warnings (Warning) — should fix, may be justifiable
  3. Informational — low priority

6. Present Compliance Report

For non-MAB/JMAAB standards, use this template:

## Compliance Summary: <Standard>
Model: <model> [Scope: <subsystem> if scoped]
Result: X passed, Y warnings, Z failures

### Critical Findings (must fix)
| Check | Blocks | Fix Type | Action |
|-------|--------|----------|--------|
| name  | N      | param/insert/config/routing/arch | what to change |

### Warnings (should fix)
| Check | Blocks | Fix Type | Action |
|-------|--------|----------|--------|

### Passed
N checks passed.

### Suggested Next Steps
[5-7 prioritized actions max]

For MAB, JMAAB, or JMAAB_V6 standards, use this template instead (includes the uncheckable guidelines review as an integral part of the report):

## Compliance Summary: <Standard>
Model: <model> [Scope: <subsystem> if scoped]
Result: X passed, Y warnings, Z failures

### Critical Findings (must fix)
| Check | Blocks | Fix Type | Action |
|-------|--------|----------|--------|
| name  | N      | param/insert/config/routing/arch | what to change |

### Warnings (should fix)
| Check | Blocks | Fix Type | Action |
|-------|--------|----------|--------|

### Passed
N checks passed.

---

### Agentic Review of Uncheckable Guidelines (LLM-based — not deterministic)

> **Note:** This is a semantic evaluation performed by an AI agent, not a deterministic Model Advisor check.

**Model:** <model_name>
**Judgment:** PASS | WARNING | FAIL
**Confidence:** 0.XX

#### Critical (must fix)
| Guideline | Blocks | Fix Type | Action | Confidence |
|-----------|--------|----------|--------|------------|

#### Warnings (should fix)
| Guideline | Blocks | Fix Type | Action | Confidence |
|-----------|--------|----------|--------|------------|

### Evidence
[2-3 sentences citing specific model data]

### Recommendation
[Top 3-5 prioritized actions, or "No action required."]

---

### Suggested Next Steps
[5-7 prioritized actions max, combining both deterministic and uncheckable findings]

Fix Type values: param (block parameter), insert (add block), config (model config), routing (reconnect signals), arch (restructure — recommend only)

Conciseness rules:

  • One line per check; max 3-5 block paths shown per check (state total)
  • Target 40-60 lines; max ~80
  • Offer "I can list all affected blocks for check X" for detail

7. Performing the Uncheckable Guidelines Review (JMAAB/MAB only)

This section explains HOW to fill in the "Agentic Review of Uncheckable Guidelines" section that is part of the MAB/JMAAB report template above. You MUST complete this before presenting the report to the user.

Skip this step ONLY for other standards (MISRA, ISO 26262, DO-178C, etc.). For JMAAB, JMAAB_V6, or MAB standards → load and follow references/uncheckable-guidelines-review.md.

What to do: Evaluate guidelines that Model Advisor cannot fully verify — guidelines where semantic judgment is required or no check exists at all. Load references/semantic-evaluation-index.md to get the list of uncheckable guidelines, then:

  1. From the Model Advisor results, identify which checked guidelines appear in the semantic evaluation index
  2. For those guidelines, extract model data using MCP tools (model_overview, model_read, model_query_params)
  3. Apply the Quick Rules from the index for each applicable guideline
  4. For borderline cases, use the Semantic Gap column to calibrate judgment

Judgment: worst verdict across findings (FAIL > WARNING > PASS). Confidence 0.0-1.0. Do NOT issue FAIL if confidence < 0.5.

8. Fix Mode

Ask: "Would you like me to fix these issues?"

  • No → stop (report only)
  • Yes → load and follow references/fix-mode.md workflow

9. Justification Mode

If user wants to justify/waive/suppress violations → load and follow the Justification section in references/fix-mode.md.

Guardrails

Always

  • For JMAAB/JMAAB_V6/MAB: ALWAYS perform Step 7 (Uncheckable Guidelines Review) — the report is incomplete without it
  • Show standard name + check count before running
  • Include block paths in findings
  • Follow Fix Order strictly (structural → diagnostic) to prevent cascading false failures
  • Summarize, do not echo raw output
  • Confirm with user before executing >=100 checks
  • Ask the user for justification text before adding any justification — never fabricate rationale
  • If a reference tool returns an error, report it verbatim — do not retry with alternative approaches
  • Confirm which model to check if multiple .slx files are present or the name is ambiguous
  • State the resolved standard name and version in the report header
  • Report the exact check count from tool output
  • When explaining failures, list all distinct root causes

Ask First

  • Fix mode modifications — never modify model without per-batch confirmation
  • Justification — always a human decision
  • Running >100 checks — confirm scope is intentional

Never

  • Claim "model IS compliant" — only report pass/fail; compliance determination is user's responsibility
  • Escalate diagnostics before structural fixes
  • Suppress findings without explicit request
  • Guess parameter names — use exact parameter field from check output
  • Modify the MATLAB path permanently (no savepath)
  • Run slbuild or code generation without explicit user permission
  • Re-run checks unnecessarily — reuse violation IDs from the most recent run if the model has not been modified since; only re-run to get fresh hashes if the model changed

Error Recovery

| Error | Action | |-------|--------| | UNKNOWN_STANDARD | Check for typo/alias (e.g., "MAAB" → MAB). If valid but unsupported standard, acknowledge and show supported list. | | LICENSE_FAILED | Simulink Check license required | | MODEL_NOT_FOUND | Ask for correct model path | | CHECK_NOT_FOUND | Release mismatch — tell user which MATLAB release needed | | CONFIG_NOT_FOUND | Stale path — ask for update or fall back to named standard | | EXECUTION_FAILED | Model may have compilation errors — suggest fixing first | | Token budget exceeded | Read full results from full_results field | | HASH_NOT_FOUND (justify) | Model modified since last run — re-run checks for fresh ids | | `JUSTIFI

Truncated for display — read the full file on GitHub.

Related Skills

View on GitHub
GitHub Stars1.1k
CategoryLegal
Updated16d ago
Forks106

Languages

HTML

Trust signals

88/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

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