annotate-modelica-graphics

annotate-modelica-graphics is a skill for Claude Code, Codex from WolframResearch/system-modeler-ai-toolkit. It costs 138 tokens per session (5,408 once invoked), scanned C, original, MIT.

A tool that adds visual icons and arranged diagrams to text-based Modelica models. Modelica is a language for describing systems such as electrical, mechanical, thermal, and fluid models.

In plain words
What is it for?
It helps draw component icons, place connectors, arrange circuit diagrams, and make Modelica classes easier to inspect in Wolfram System Modeler.
Why use it?
Text-only models can be difficult to understand or view as schematics in Wolfram System Modeler. This adds graphical structure and component symbols to the model source.

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 install the launcher is `../scripts/wsm_run.py` (`<scripts-dir>` is the shared.

Good fit It helps draw component icons, place connectors, arrange circuit diagrams, and make Modelica classes easier to inspect 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-graphics

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-graphics

README.md
[![agentmods](https://agentmods.dev/badge/skills/wolframresearch/system-modeler-ai-toolkit/annotate-modelica-graphics.svg)](https://agentmods.dev/skills/wolframresearch/system-modeler-ai-toolkit/annotate-modelica-graphics)
Your own site
<a href="https://agentmods.dev/skills/wolframresearch/system-modeler-ai-toolkit/annotate-modelica-graphics"><img src="https://agentmods.dev/badge/skills/wolframresearch/system-modeler-ai-toolkit/annotate-modelica-graphics.svg" alt="Measured on agentmods" height="20"></a>
Per session 138 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,408 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 $0.00138 $0.05408
Opus 5 $0.00069 $0.02704
Sonnet 5 $0.00028 $0.01082
Haiku 4.5 $0.00014 $0.00541

Measured 7d ago against content hash 9cc01bf0a9a7, 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-graphics 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 7d ago.

The scan reads SKILL.md. This mod also ships 10 executable files (Schematic/__init__.py, Schematic/classify.py, Schematic/colors.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.

remove the temp dir (`rm -rf "<Model-dir>/_wsm_validate_temp"`).
annotate-modelica-graphics/SKILL.md · 388 lines

How it starts

The opening of the file, as written. The whole thing — 388 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Annotate Modelica Graphics

This skill adds graphical annotations to a text-only Modelica .mo file so it renders as a clean schematic in Wolfram System Modeler. It is a self-contained source transform — it parses the .mo, classifies each class, and splices annotations back into the source:

  • Category classes (packages, runnable examples, records, functions) get the idiomatic extends Modelica.Icons.*; base — the same icons the Modelica Standard Library uses.
  • Leaf components / sub-circuit building blocks get a custom Icon(graphics=…) with their connectors anchored on the icon boundary. This works for any domain — connector detection spans every Modelica Standard Library domain (electrical, mechanical, rotational/translational, MultiBody, control signals, thermal/heat, fluid, magnetic, digital, …) plus any connector class defined in the file itself. Recognized component kinds get a hand-drawn glyph (transistor, amplifier, tank, pump, valve, pipe, heat capacitor); anything else gets a generic block placeholder that you are expected to replace with an icon you draw from the component's name and description (see step 3b — this is a normal part of the workflow, not an edge case).
  • Connectors get their own domain-colored square icon. When the domain is recognized the color is automatic; when it isn't, you author the symbol the same way as for components.
  • Composite models get an auto-laid-out Diagram: each component instance gets a Placement, and every connect(…) gets an orthogonal, domain-colored connection Line.

It is idempotent: re-running only fills in what is missing (use --force to regenerate). By default it prints a dry-run diff; nothing is written until you pass --write.

--force is destructive — ask the user first. It strips every Placement, connection Line, Icon(...), Diagram(...), and extends Modelica.Icons.* in scope and regenerates them from scratch. The tool leaves no marker, so it matches by shape, not provenance: hand-written and hand-tuned annotations are deleted too (custom placements, manual line routing, bespoke icon graphics). Do not pass --force on a model that may carry hand-authored graphics without first confirming with the user that discarding it is intended. Review the dry-run diff (no --write) to see exactly what would be removed before applying.

The engine is pure Python (standard library only) — no third-party packages or WSMKernelX are needed to generate the annotations. WSMKernelX is used only afterwards, as a safety gate, to confirm the edited file still flattens.

Read the full file on GitHub · 388 lines

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. 7d ago First seen · 388 lines · 138 tokens per session scan C 9cc01bf0a9a7

Subscribe to this mod's changes

annotate-modelica-graphics is a skill published in the GitHub repository WolframResearch/system-modeler-ai-toolkit (10 stars, last pushed 18d ago), licensed MIT. It adds 138 tokens to every session and 5,408 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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