annotate-modelica-plots

annotate-modelica-plots is a skill for Claude Code, Codex from WolframResearch/system-modeler-ai-toolkit. It costs 125 tokens per session (5,567 once invoked), scanned C, original, MIT.

A tool that stores simulation result plots inside a Modelica model using standard annotations. An annotation is extra model information that tells compatible software how to display something.

In plain words
What is it for?
It helps define which variables appear in saved plots and makes those plots reopen in Wolfram System Modeler.
Why use it?
Plots normally live outside the model and can be separated from the source. This keeps the selected figures, axes, titles, and curve labels with the model.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is before those steps. In a normal install the launcher is `../scripts/wsm_run.py`.

Good fit It helps define which variables appear in saved plots and makes those plots reopen in Wolfram System Modeler.

Compare 6 skills from other repositories ↓
Install

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.

Clone the repo
git clone --depth 1 https://github.com/WolframResearch/system-modeler-ai-toolkit
agentmods
npx agentmods add skills/wolframresearch/system-modeler-ai-toolkit/annotate-modelica-plots

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for annotate-modelica-plots

README.md
[![agentmods](https://agentmods.dev/badge/skills/wolframresearch/system-modeler-ai-toolkit/annotate-modelica-plots.svg)](https://agentmods.dev/skills/wolframresearch/system-modeler-ai-toolkit/annotate-modelica-plots)
Your own site
<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>
Per session 125 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,567 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 8d ago against content hash 03e893a96411, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

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.

The scan reads SKILL.md. This mod also ships 7 executable files (PlotAnnotate/__init__.py, PlotAnnotate/figures.py, PlotAnnotate/inject.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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`.
annotate-modelica-plots/SKILL.md · 413 lines

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.

--force is destructive — ask the user first. It deletes the class's existing figures block 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 --force on 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"}
          ]
        }
      ]
    }
  ]
}

Read the full file on GitHub · 413 lines

Files

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.

Changes

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.

  1. 8d ago First seen · 413 lines · 125 tokens per session scan C 03e893a96411

Subscribe to this mod's changes

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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