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 annotate-modelica-animationgit 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/annotate-modelica-animation)<a href="https://agentmods.dev/skills/wolframresearch/system-modeler-ai-toolkit/annotate-modelica-animation"><img src="https://agentmods.dev/badge/skills/wolframresearch/system-modeler-ai-toolkit/annotate-modelica-animation.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 | $0.00178 | $0.02159 |
| Opus 5 | $0.00089 | $0.01079 |
| Sonnet 5 | $0.00036 | $0.00432 |
| Haiku 4.5 | $0.00018 | $0.00216 |
Grade A, and why
annotate-modelica-animation 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 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.
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 — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Annotate Modelica 3D Animation
Adds __Wolfram(Animation(...)) annotations to a MultiBody model so Simulation
Center opens a configured 3D animation: named cameras, follow cameras, trace
paths, playback behavior and vector scaling — all stored in the model file.
Only models using Modelica.Mechanics.MultiBody components with a visual
representation get an Animation view. Simulate first (simulate-modelica):
you need the trajectory extents to place cameras and size the scene, and a
model that fails to simulate has no animation to configure.
Unlike the control-panel, graphics and plots annotators, this skill has no
generator engine — you author the annotation text and splice it in by hand,
then validate. That puts the merge-into-annotation(...) step (below) on you;
get it right and confirm with validate-modelica.
This is a vendor-specific annotation (Modelica spec §18.1): other tools
ignore it and preserve it on save, and it does not affect flattening — it only
tells System Modeler how to build the 3D animation. It sits directly inside the
class annotation(...), as a sibling of experiment and Documentation
(never nested inside Documentation).
The annotation
annotation(__Wolfram(Animation(
cameras = {
Camera(name = "Follow", distance = 8, rotation = {0.5, 0.5, 0.5, 0.5},
follow = bodyShape.shape1, followMode = "NODE_CENTER_AND_AZIM"),
Camera(name = "Top", center = {32, -19, 0}, distance = 90, rotation = {0, 0, 0, 1})},
windows = {
Window(name = "Default", camera = "Follow", preferred = true,
autoPlay = true, repeat = true, timeScale = 0.5,
trace = {bodyShape.shape1},
vectorSettings = {VectorSettings(quantity = "Force", scale = 0.1)})})));
Splicing it into the model
The Animation(...) goes inside the single class-level annotation(...), as
a sibling of experiment/Documentation — not in its own second annotation.
- No class annotation yet — add one before the terminating
end <Class>;:
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 · 163 lines · 178 tokens per session scan A 174123fd2d1d
annotate-modelica-animation is a skill published in the GitHub repository WolframResearch/system-modeler-ai-toolkit (10 stars, last pushed 18d ago), licensed MIT. It adds 178 tokens to every session and 2,159 once invoked, about $0.0009 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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