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-complianceInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
LegalSupported Platforms
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.
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.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| checking-model-compliance (this skill)by matlab | 93 | 1.1k | 16d ago | SKILL.md |
| algorithmic-artby anthropics | 100 | 177.9k | 11d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 11d ago | SKILL.md |
| designby nextlevelbuilder | 100 | 130.2k | 12d ago | SKILL.md |
| ui-ux-pro-maxby nextlevelbuilder | 100 | 130.2k | 12d ago | SKILL.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.
Skill content
View source on GitHubname: 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_checktool 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_runwith'configuration'parameter directly (Path B) - Custom check IDs: User provides specific check IDs → use
model_advisor_runwith'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 —
.slxfile (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→ notechecks_count, inform userstatus: truncated→ use returned config file path in step 4status: 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:
- Critical (Failed) — must fix for compliance
- Warnings (Warning) — should fix, may be justifiable
- 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:
- From the Model Advisor results, identify which checked guidelines appear in the semantic evaluation index
- For those guidelines, extract model data using MCP tools (
model_overview,model_read,model_query_params) - Apply the Quick Rules from the index for each applicable guideline
- 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.mdworkflow
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
.slxfiles 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
parameterfield from check output - Modify the MATLAB path permanently (no
savepath) - Run
slbuildor 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.
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
