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slci-compatibility-analysis

Use when you need to verify a Simulink model is compatible with SLCI code inspection, or to apply fixes for identified incompatibilities. Checks model configuration, identifies incompatibilities, and explains why each constraint is required for verification.

Install / Use

npx skills add matlab/simulink-agentic-toolkit --skill slci-compatibility-analysis

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

91/100

Supported Platforms

Universal

Tags

Our assessment of slci-compatibility-analysis

slci-compatibility-analysis scores 91/100 on our quality scale, 1176th of 4,598 Development & Engineering skills we index (top 26%).

Its SKILL.md is 12 KB long, well organised into 20 sections with 3 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
18/20
Description
15/15
Adoption
13/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 26 days ago, so slci-compatibility-analysis 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.

slci-compatibility-analysis compared with similar skills

All 4 of these similar skills score higher than slci-compatibility-analysis; compare them before choosing.

SkillScoreStarsUpdatedFormat
slci-compatibility-analysis (this skill)by matlab911.1k26d agoSKILL.md
ai-job-searchby MadsLorentzen10046.5k5d agoCLAUDE.md
claude-howtoby luongnv8910041.8k2d agoCLAUDE.md
algorithmic-artby anthropics100177.9k21d agoSKILL.md
pptxby anthropics100177.9k21d agoSKILL.md

Frequently asked questions

How do I install slci-compatibility-analysis?
Run npx skills add matlab/simulink-agentic-toolkit --skill slci-compatibility-analysis. The install tabs above show the steps for each supported agent.
Which AI agents does slci-compatibility-analysis 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 slci-compatibility-analysis 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 slci-compatibility-analysis still maintained?
The repository was last updated 26 days ago, so slci-compatibility-analysis is actively maintained.

name: slci-compatibility-analysis description: > Use when you need to verify a Simulink model is compatible with SLCI code inspection, or to apply fixes for identified incompatibilities. Checks model configuration, identifies incompatibilities, and explains why each constraint is required for verification. Also invoked by slci-inspection-incompatibility-analysis to fix constraints and obtain compatibility results. Trigger keywords: checkCompatibility, SLCI compatibility, code inspection readiness, Model Advisor compatibility report. license: https://www.mathworks.com/content/dam/mathworks/license/pmrl/license.md metadata: author: MathWorks version: "1.0"

SLCI Compatibility Analysis

Determine whether a Simulink model's configuration and structure meet the requirements for SLCI (Simulink Code Inspector) code inspection.

When to Use

  • User asks to check model compatibility for SLCI / Simulink Code Inspector
  • User asks to run checkCompatibility or analyze compatibility results
  • User wants to know why a model is incompatible with code inspection
  • User wants to understand what must be fixed before inspection can succeed
  • Delegated from slci-inspection-incompatibility-analysis to apply fixes or obtain compatibility results

When NOT to Use

  • User already has inspection results (from c.inspect()) and needs to trace failures to root causes — use slci-inspection-incompatibility-analysis instead
  • User wants general Simulink model building or testing — use the core MBD skills

Boundary note: This skill covers the pre-inspection compatibility check (checkCompatibility). The slci-inspection-incompatibility-analysis skill covers post-inspection failure analysis (inspect results) and delegates back to this skill for applying fixes and obtaining compatibility results. If a user simply asks "is my model ready for SLCI?", use this skill.

Guardrails

  1. Never modify the original model. Copy to <model_name>_fixed.slx first. Also copy any associated data dictionary (.sldd) or .mat files if fixes require modifying them. All fixes are applied to the copy only. After copying, run fileattrib('<copy>', '+w') to ensure the copy is writable.
  2. Always produce a Post-Fix Change Report after fixes are applied, so the user knows exactly what was changed.

Domain Model: What SLCI Compatibility Means

SLCI verifies structural equivalence between a Simulink model and its generated C code — proving that every signal path, computation, and data flow in the model has a corresponding construct in the code. The compatibility checker identifies model configurations and patterns that would make this verification impossible or unreliable.

For severity levels (FATAL vs. Nonfatal), the full constraint categories table (mapping check titles to reference files), and error recovery procedures, see incompatibility-guide.md. For per-block parameter constraints indexed by block type, see block_support_constraints.md.

The slci.Configuration API

Running the Check

c = slci.Configuration('<model_name>');
results = c.checkCompatibility();

Prefer this API over parsing the HTML report — it returns structured results.

Querying Results Programmatically

checkCompatibility() returns a cell array of ModelAdvisor.SystemResult objects:

results = c.checkCompatibility();

% Strip HTML tags/entities from Description and RecAction text
stripHtml = @(s) strtrim(regexprep(regexprep(char(s), '<[^>]*>', ''), ...
    {'&gt;', '&lt;', '&amp;'}, {'>', '<', '&'}));

% Iterate over individual check results
for i = 1:numel(results{1}.CheckResults)
    cr = results{1}.CheckResults(i);
    if ~strcmp(cr.Status, 'Passed')
        fprintf('CHECK: %s\n  Status: %s\n', cr.CheckName, cr.Status);
        rd = cr.getResultDetails;   % struct array: one entry per issue
        for k = 1:numel(rd)
            fprintf('  - %s\n    Fix: %s\n', stripHtml(rd(k).Description), ...
                stripHtml(rd(k).RecAction));
        end
    end
end

If the System target file check fails, fix it first and re-run — many other checks report it as their fix until it is resolved.

Result object properties:

| Property | Type | Description | |----------|------|-------------| | System | char | Model/system name checked | | Summary | struct | Pass/warn/fail counts | | CheckResults | array | Individual check results (CheckName, Status, getResultDetails().Description) | | VersionInfo | struct | MATLAB/Simulink version info |

Each CheckResults entry has:

  • CheckName — check name (maps to constraint category)
  • Status — 'Passed', 'Warning', 'Failed', etc. (anything other than 'Passed' needs attention)
  • getResultDetails() — struct array, one entry per issue, with Description (what is checked) and RecAction (recommended fix)

Fixing Incompatibilities

c.fixIncompatibilities();

Scope: This fixes configuration parameter settings only (e.g., setting TargetLang to 'C', enabling required diagnostics). It does NOT fix:

  • SystemTargetFile — even though an incorrect value (e.g., grt.tlc) is a FATAL incompatibility, fixIncompatibilities() will not change it. Set it before calling fixIncompatibilities():
    set_param('<model>', 'SystemTargetFile', 'ert.tlc');
    
  • Structural issues (unsupported blocks, multi-rate enable signal crossings)
  • Block-level parameter violations (data type mismatches, rounding modes)
  • Model architecture problems (model reference parameter behavior)

When safe: Call it for batch config-param fixes when you've reviewed the list and confirmed all flagged items are parameter settings. When unsafe: If FATAL structural issues exist, fix those manually first — fixIncompatibilities may mask the real problem by changing settings without addressing the underlying design issue.

Important: fixIncompatibilities() modifies the model in place — see Guardrails.

Handling Remaining Issues After fixIncompatibilities()

fixIncompatibilities() only resolves configuration parameter issues. After running it, re-run checkCompatibility() and check for remaining non-passing checks. For any issues that fixIncompatibilities() did not resolve:

  1. Map the failing check to its reference file using the Check Title Keywords column in incompatibility-guide.md.
  2. Follow the suggested fix from the reference file. Each constraint entry documents the required value or model change needed. Always use the exact parameter name from the reference file — check titles may differ from parameter names (e.g., Stateflow diagnostics use an SF prefix and Diag suffix like SFTransitionOutsideNaturalParentDiag that the check title omits).
  3. Apply fixes. See fixing-incompatibilities.md for the bulk-set procedure for code generation parameters.
  4. Re-run checkCompatibility() after applying manual fixes to confirm they resolved the issues.

Post-Fix Change Report

Always produce a change report when fixing incompatibilities so the user knows exactly what was modified. The report compares the before and after states:

| Parameter | Previous Value | New Value | Constraint Category | |-----------|---------------|-----------|---------------------| | TargetLang | 'C++' | 'C' | Code Generation | | SolverType | 'Variable-step' | 'Fixed-step' | Solver |

Include:

  • Count of issues fixed vs. issues remaining
  • Whether the model is now ready for inspection or still has outstanding issues

Save the change report as <model_name>_fix_report_YYYY-MM-DD.md in the model directory.

Model Reference Hierarchies

checkCompatibility on a top model does NOT automatically check referenced models. For models with model references:

  1. Identify referenced models: Use model_overview to discover the model reference hierarchy and store the referenced model names in a cell array refs (excluding the top model). If model_overview is unavailable, fall back to:
    refs = find_mdlrefs('<top_model>');
    refs = refs(1:end-1);  % Top model is last; it is already checked
    
  2. Check each referenced model individually and keep every result:
    allResults = struct('model', {}, 'results', {});
    for i = 1:numel(refs)
        c = slci.Configuration(refs{i});
        allResults(end+1) = struct('model', refs{i}, ...
            'results', {c.checkCompatibility()}); %#ok<AGROW>
    end
    
  3. Aggregation considerations:
    • Each referenced model must independently pass compatibility
    • DefaultParameterBehavior at the reference boundary affects how parameters are resolved — 'Inlined' is required for SLCI traceability
    • Protected model references cannot be inspected (SLCI cannot see inside them)

Workflow

1. Run the Compatibility Check

Use the programmatic API above. If no MCP connection exists, run MATLAB in batch mode with a 600-second timeout. For large models, run the check as a background task to avoid blocking.

Important: If reusing an existing report at slprj/modeladvisor/<model>/report.html, verify the report is not stale — compare the report timestamp against the model's last-modified time. If the model is newer, re-run the check.

2. Interpret Results

For each non-passing check:

  1. Identify the constraint category from the check title
  2. Look up the constraint in the appropriate reference file
  3. Note its severity (FATAL vs. Nonfatal) from the reference file
  4. Determine whether fixIncompatibilities() can resolve it (config param) or whether manual model changes are needed (structural)

3. Present Results

Provide the user with:

  • A summary: counts of passed and non-passing checks, and of FATAL and Nonfatal issues
  • Category breakdown (e.g., "3 Code Generation, 2 Solver, 1 Structural")
  • For each incompatibility: the parameter name, current vs. required value, and why SLCI needs it (from reference files)
  • A clear distinction between issues fixable by fixIncompatibilities() and those requiring manual intervention

Scale the detail level to what the user asked for. A quick "is it ready?" gets the summary. A "why is X failing?" gets the full constraint explanation.

4. Fix and Report Changes

If the user requests fixes (or agrees to apply them), follow the Fixing Incompatibilities and Handling Remaining Issues procedures above.

Bulk-set model-root config parameters upfront per fixing-incompatibilities.md to minimize round-trips.

5. Save Results

If any warnings or failures are found, always save results to a markdown file in the model directory (<model_name>_compatibility_results_YYYY-MM-DD.md). Include the model name, date, results table, and remediation guidance. If all checks pass, no file is needed — just inform the user.

Explaining Individual Constraints

When asked to explain a specific constraint, read the relevant reference file and present:

  1. What SLCI requires — the parameter/setting and its required value
  2. Why — what breaks in structural equivalence verification if violated
  3. Fix — the parameter value or model change needed

For constraints where the failure mode is non-obvious (multi-rate data races, constant folding across blocks, hidden auto-inserted blocks), include a code example showing the problematic generated code pattern. See references/explain-constraint.md for an example of this deeper treatment.

For simple config-param constraints (e.g., TargetLang must be C),

Truncated for display — read the full file on GitHub.

Related Skills

View on GitHub
GitHub Stars1.1k
CategoryDevelopment
Updated26d 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.

1 medium