Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/WolframResearch/system-modeler-ai-toolkitnpx agentmods add skills/wolframresearch/system-modeler-ai-toolkit/validate-modelicaWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/wolframresearch/system-modeler-ai-toolkit/validate-modelica)<a href="https://agentmods.dev/skills/wolframresearch/system-modeler-ai-toolkit/validate-modelica"><img src="https://agentmods.dev/badge/skills/wolframresearch/system-modeler-ai-toolkit/validate-modelica/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/wolframresearch/system-modeler-ai-toolkit/validate-modelica"><img src="https://agentmods.dev/badge/skills/wolframresearch/system-modeler-ai-toolkit/validate-modelica.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00156 | $0.05017 |
| Opus 5.5 | $0.00062 | $0.02007 |
| Sonnet 5.5 | $0.00031 | $0.01003 |
| Haiku 4.5 | $0.00016 | $0.00502 |
Grade C, and why
validate-modelica scanned grade C with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
shell-agnostic. For cleanup use `Remove-Item -Recurse -Force`, not `rm -rf`. How it starts
The opening of the file, as written. The whole thing — 370 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Validate Modelica Model
This skill validates Modelica models (.mo files) by flattening them with WSMKernelX, which checks for structural errors (equations, types, connections). A successful flatten means the model is structurally valid.
Before you run anything
This skill drives WSMKernelX through the shared launcher
../scripts/wsm_run.py. Read the shared-conventions appendix at the end of this file
first — launcher resolution, the Windows-vs-Unix shell/Python rules, the
temp-dir and cleanup conventions, the JSON-array output gotcha, and the MSL 4.x
dialect notes that every step below assumes.
The launcher writes everything into _wsm_validate_temp/ next to the .mo
file and leaves validate.out.json there for you to parse. Tell the user:
"Working in temporary directory _wsm_validate_temp/. This will be deleted
after validation."
Workflow
1. Identify the model file and name
Identify the .mo file and extract the model name — see Appendix → Picking the model name. For a directory-form (multi-file) library, point --model at the library folder (not one class file) and pass the full dotted --name — see Appendix → Directory-form (multi-file) libraries.
2. Run the launcher
python3 "<scripts-dir>/wsm_run.py" --mode validate \
--model "<path-to-ModelFile.mo>" --name ModelName --timeout 60
The launcher auto-detects whether the model needs the Modelica Standard
Library and loads the right MSL version; force it with --msl yes|no or pin a
version with --msl-version 4.1.0. If the model uses an installed non-MSL
library (e.g. Hydraulic), add --load-library <Name> — see
Appendix → Using non-MSL libraries.
Timeout: allow up to 60 seconds — complex models with many components can take a while to flatten.
A plain run does not evaluate the model's graphic annotations, so an error in an
Icon, Diagram or Placement passes unnoticed. Add --graphics when those
annotations are what changed, or when the user is asking about the model's
graphics — see
Appendix → Checking graphic annotations.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago Changed · +4 lines d633ef5b813a
- 23d ago Changed · +114 lines · +50 tokens per session 5d5591f8bb4a
- 1mo ago First seen · 252 lines · 106 tokens per session scan C 2403abc2a8b1
validate-modelica is a skill published in the GitHub repository WolframResearch/system-modeler-ai-toolkit (17 stars, last pushed 9d ago), licensed MIT. It adds 156 tokens to every session and 5,017 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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