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/annotate-modelica-plotsWrote 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/annotate-modelica-plots)<a href="https://agentmods.dev/skills/wolframresearch/system-modeler-ai-toolkit/annotate-modelica-plots"><img src="https://agentmods.dev/badge/skills/wolframresearch/system-modeler-ai-toolkit/annotate-modelica-plots.svg" alt="Measured on agentmods" 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 | $0.00125 | $0.05567 |
| Opus 5 | $0.00063 | $0.02783 |
| Sonnet 5 | $0.00025 | $0.01113 |
| Haiku 4.5 | $0.00013 | $0.00557 |
Grade C, and why
annotate-modelica-plots 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 8d 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 — 413 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Annotate Modelica Plots
This skill writes the spec-standard result-plot annotation into a Modelica .mo file so a
model carries its own simulation plots:
annotation(Documentation(figures = {
Figure(identifier = "response", title = "Mass response", preferred = true,
plots = {
Plot(title = "Position and velocity",
curves = {Curve(x = time, y = s, legend = "position"),
Curve(x = time, y = v, legend = "velocity")},
x = Axis(label = "time"), y = Axis(label = "states", unit = ""))})}));
It is a self-contained source transform: Claude assembles a figures spec (JSON) — from the user's request, or from variables discovered by simulating — and the Python engine renders it to valid Modelica and splices it into the class annotation. The engine is pure Python (standard library only); WSMKernelX is used only afterwards as a validation gate.
Wolfram System Modeler renders this standard annotation natively from the stored figure, picking up
the Plot.title, Axis.label, and per-curve legend. No vendor-specific annotation is needed.
It is idempotent: a class that already has figures = is skipped unless you pass --force
(which strips the old figures assignment and regenerates). By default it prints a dry-run diff;
nothing is written until --write.
--forceis destructive — ask the user first. It deletes the class's existingfiguresblock before regenerating, so any hand-written or previously curated plot definitions there are lost (a user may have tuned those by hand). Don't pass--forceon a class that already carries figures without first confirming with the user that discarding them is intended. Review the dry-run diff (no--write) to see exactly what would be removed.
The figures spec (JSON)
Shaped after the spec records (MLS annotations.tex §figure-plot-properties). Only fields you set
are emitted:
{
"figures": [
{
"title": "Mass response", "identifier": "response", "preferred": true,
"caption": "Damped oscillation of %[position](variable:s).",
"plots": [
{
"title": "Position and velocity",
"x": {"label": "time"},
"y": {"label": "states", "unit": "", "scale": "Linear"},
"curves": [
{"x": "time", "y": "s", "legend": "position"},
{"x": "time", "y": "v", "legend": "velocity"}
]
}
]
}
]
}
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 8d ago First seen · 413 lines · 125 tokens per session scan C 03e893a96411
annotate-modelica-plots is a skill published in the GitHub repository WolframResearch/system-modeler-ai-toolkit (10 stars, last pushed 18d ago), licensed MIT. It adds 125 tokens to every session and 5,567 once invoked, about $0.0006 per session on Opus 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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