annotate-control-panel

annotate-control-panel is a skill for Claude Code, Codex from WolframResearch/system-modeler-ai-toolkit. It costs 142 tokens per session (5,307 once invoked), scanned C, original, MIT.

A tool that adds interactive control panels to Modelica models. These panels can provide sliders, checkboxes, text inputs, and menus for changing model parameters in Wolfram System Modeler.

In plain words
What is it for?
It helps create Explore panels for tuning parameters, changing start values, toggling options, and displaying chosen simulation plots.
Why use it?
Testing different parameter values manually is slow and makes model exploration harder. A saved panel puts the controls and selected plots together in the model.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/wolframresearch/system-modeler-ai-toolkit/annotate-control-panel
Any agent
npx skills add WolframResearch/system-modeler-ai-toolkit --skill annotate-control-panel
Clone the repo
git clone --depth 1 https://github.com/WolframResearch/system-modeler-ai-toolkit

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-control-panel

README.md
[![agentmods](https://agentmods.dev/badge/skills/wolframresearch/system-modeler-ai-toolkit/annotate-control-panel.svg)](https://agentmods.dev/skills/wolframresearch/system-modeler-ai-toolkit/annotate-control-panel)
Your own site
<a href="https://agentmods.dev/skills/wolframresearch/system-modeler-ai-toolkit/annotate-control-panel"><img src="https://agentmods.dev/badge/skills/wolframresearch/system-modeler-ai-toolkit/annotate-control-panel.svg" alt="Measured on agentmods" height="20"></a>
Per session 142 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,307 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. Scan, not verified.
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 $0.00142 $0.05307
Opus 5 $0.00071 $0.02653
Sonnet 5 $0.00028 $0.01061
Haiku 4.5 $0.00014 $0.00531

Measured 5d ago against content hash b403af3928df, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade C, and why

annotate-control-panel 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 5d ago.

The scan reads SKILL.md. This mod also ships 8 executable files (ControlPanel/__init__.py, ControlPanel/discover.py, ControlPanel/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-control-panel/SKILL.md · 402 lines

How it starts

The opening of the file, as written. The whole thing — 402 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Annotate Control Panel

This skill writes the Wolfram control-panel (Explore) annotation into a Modelica .mo file so a model carries its own interactive panels — the sliders, checkboxes, input fields and popup menus that Simulation Center's Explore view shows for driving parameters and start values, plus the plots to display:

annotation(__Wolfram(ControlPanels(
  Panel(
    identifier = "id1",
    title = "Controller tuning",
    elements = {
      Slider(variable = Kp, label = "Proportional gain", min = 0, max = 100),
      Slider(variable = Kd, min = 0, max = 20, scale = Log()),
      Checkbox(variable = useFeedforward, label = "Feedforward")},
    figures = {"response"})));

It is a self-contained source transform: Claude assembles a control-panel spec (JSON) — from the user's request, or suggested from the model's parameters — and the Python engine renders it to the __Wolfram(ControlPanels(...)) vendor annotation and splices it into the class annotation. The engine is pure Python (standard library only); WSMKernelX is used only afterwards as a validation gate.

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 just tells System Modeler how to build the Explore panels. It sits directly inside annotation(...), as a sibling of experiment and Documentation (never nested inside Documentation).

It is idempotent: a class that already has control panels is skipped unless you pass --force (which strips the old ControlPanels block 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 control panels before regenerating, so any hand-tuned panels there are lost. Don't pass --force on a class that already carries control panels without confirming that discarding them is intended. Review the dry-run diff (no --write) to see exactly what would be removed.

Read the full file on GitHub · 402 lines

Files

What ships with it

8 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. 5d ago First seen · 402 lines · 142 tokens per session scan C b403af3928df

Subscribe to this mod's changes

annotate-control-panel is a skill published in the GitHub repository WolframResearch/system-modeler-ai-toolkit (10 stars, last pushed 15d ago), licensed MIT. It adds 142 tokens to every session and 5,307 once invoked, about $0.0007 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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