Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add WolframResearch/system-modeler-ai-toolkit --skill wolfram-language-modelicagit clone --depth 1 https://github.com/WolframResearch/system-modeler-ai-toolkitWrote 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/wolfram-language-modelica)<a href="https://agentmods.dev/skills/wolframresearch/system-modeler-ai-toolkit/wolfram-language-modelica"><img src="https://agentmods.dev/badge/skills/wolframresearch/system-modeler-ai-toolkit/wolfram-language-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/wolfram-language-modelica"><img src="https://agentmods.dev/badge/skills/wolframresearch/system-modeler-ai-toolkit/wolfram-language-modelica.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00252 | $0.09071 |
| Opus 5 | $0.00126 | $0.04535 |
| Sonnet 5 | $0.00050 | $0.01814 |
| Haiku 4.5 | $0.00025 | $0.00907 |
Grade A, and why
wolfram-language-modelica scanned grade A with 0 findings 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 743 lines — stays where its author put it; the contents beside it link to each section on GitHub.
System Modeling with Wolfram Language
This skill covers how to drive Modelica simulation from Wolfram Language using the built-in SystemModel* family. Use this when the downstream work lives in WL, for example, analysis of simulated data, calibration, optimization, surrogates, custom plots.
For pure command-line simulation / validation with no WL work afterward, prefer the simulate-modelica or validate-modelica skills — they are faster because they avoid kernel startup and WL context.
When to use which
| Goal | Use |
|---|---|
Does this .mo compile? |
validate-modelica |
| Run a sim, get pass/fail + log | simulate-modelica |
| Debug torn systems, stiff init, blocks | diagnose-modelica |
Pull time series into WL for Predict / AnomalyDetection / Fit |
this skill |
SystemModelCalibrate, SystemModelParametricSimulate |
this skill |
| Requirement validation, uncertainty bands, surrogates | this skill |
| Live simulation you can pause / poke inputs & parameters mid-run | this skill (WSMRealTimeSimulate) |
Official reference docs (LLM-friendly variant)
Every page of the official Wolfram documentation has an LLM-friendly Markdown
variant — append .en.md to the page URL. Fetch these on demand when you need
the full signature, all options, or more examples than this skill carries:
- Hub:
https://reference.wolfram.com/language/guide/SystemModelingOverview.en.md - Any
SystemModel*function:https://reference.wolfram.com/language/ref/<Name>.en.md(e.g.SystemModelSimulate.en.md,SystemModelCalibrate.en.md,SystemModelValidate.en.md) WSMLink`(real-time) functions:https://reference.wolfram.com/system-modeler/WSMLink/ref/<Name>.en.md
The reference pages carry signatures and options but not the operational gotchas in this skill — those are verified against live kernels, and several (silent failures, headless-vs-notebook differences) are documented nowhere else. Where this skill and a doc example conflict in a headless/agent context, trust this skill.
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 First seen · 743 lines · 252 tokens per session scan A 64bf95babc7b
wolfram-language-modelica is a skill published in the GitHub repository WolframResearch/system-modeler-ai-toolkit (10 stars, last pushed 19d ago), licensed MIT. It adds 252 tokens to every session and 9,071 once invoked, about $0.0013 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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