modelica-library-workflow

modelica-library-workflow is a skill for Codex from Suzhou-Tongyuan/sysplorer-mcp-server. It costs 100 tokens per session (1,153 once invoked), scanned A, original, MIT.

A workflow for maintaining a Modelica model library rather than a single model. It covers package structure, public interfaces, examples, tests, translations, diagrams, and library-wide rules.

In plain words
What is it for?
Use it when creating or extending a Modelica library, reviewing its public interfaces, organizing examples and tests, repairing library diagrams, or managing library localization. Modelica libraries are reusable collections of physical-system components.
Why use it?
It helps keep a shared library consistent as components are added or changed. It also separates library maintenance from ordinary work on one model.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it when creating or extending a Modelica library, reviewing its public interfaces, organizing examples and tests, repairing library diagrams, or managing library localization. Modelica libraries are reusable collections of physical-system components.

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Install with agentmods
npx agentmods add skills/suzhou-tongyuan/sysplorer-mcp-server/modelica-library-workflow
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.

Any agent
npx skills add Suzhou-Tongyuan/sysplorer-mcp-server --skill modelica-library-workflow
Clone the repo
git clone --depth 1 https://github.com/Suzhou-Tongyuan/sysplorer-mcp-server

Made for: 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 modelica-library-workflow

README.md
[![agentmods](https://agentmods.dev/badge/skills/suzhou-tongyuan/sysplorer-mcp-server/modelica-library-workflow/github.svg)](https://agentmods.dev/skills/suzhou-tongyuan/sysplorer-mcp-server/modelica-library-workflow)
Your own site
<a href="https://agentmods.dev/skills/suzhou-tongyuan/sysplorer-mcp-server/modelica-library-workflow"><img src="https://agentmods.dev/badge/skills/suzhou-tongyuan/sysplorer-mcp-server/modelica-library-workflow/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for modelica-library-workflow

Your own site · 80×15
<a href="https://agentmods.dev/skills/suzhou-tongyuan/sysplorer-mcp-server/modelica-library-workflow"><img src="https://agentmods.dev/badge/skills/suzhou-tongyuan/sysplorer-mcp-server/modelica-library-workflow.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 100 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,153 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00100 $0.01153
Opus 5.5 $0.00040 $0.00461
Sonnet 5.5 $0.00020 $0.00231
Haiku 4.5 $0.00010 $0.00115

Measured 19d ago against content hash 93a209a69b80, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

modelica-library-workflow 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 19d 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.

resources/modeling_skills/modelica-library-workflow/SKILL.md · 71 lines

How it starts

The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Modelica Library Workflow

Use this only as a thin add-on to ty-sysplorer-modeling-rules. The parent skill owns routing, seven gates, layout timing, repair loop, and delivery evidence. This skill adds library/package workflow details.

When To Use

  • Use only when the deliverable concerns a Modelica library: package structure, public interfaces, Examples/Tests, library localization, or library governance.
  • Use templates and library-wide diagram/localization workflows only inside that library-level scope. Ordinary single-model creation, repair, review, and diagram export remain with the parent and domain skills.
  • Do not use for pure theory, pure API lookup, or broad discussion without a concrete artifact objective.
  • Existing concrete failures stay under the parent-designated debugging entry; provide library support only when structure/public interfaces are implicated. Failures during new construction remain in that task.

Minimal Reading

All references/... and workflows/... paths in this skill are relative to this skill directory (the folder that contains this SKILL.md), not the workspace root or any parent skills/ directory.

Read references/shared-standards.md once for the parent contract, then select one workflow and only the needed reference sections. references/reference-role-map.md explains the ownership of each rule:

Need Read
Task classification references/requirement-mapper.md
Template/top package design references/template-package-scheme.md
Cross-domain package names references/cross-domain-business-package-strategy.md
Requested terminal stage / execution references/executor-base.md
Static checklist / common mistakes references/workflow-checklist.md, references/common-errors.md
Acceptance / delivery references/acceptance-checklist.md, references/input-output-contract.md

Specialized Workflows

Prefer these when they match exactly:

Workflow Path
Build from template workflows/build-from-template.md
Build library with example validation workflows/build-library-with-example-validation.md
Extend existing library workflows/extend-existing-library.md
Review existing library workflows/review-existing-library.md
Normalize structure workflows/normalize-library-structure.md
Chinese localization workflows/chinese-localization.md
Repair diagram annotations workflows/repair-diagram-annotations.md

Read the full file on GitHub · 71 lines

Files

What ships with it

33 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. 19d ago First seen · 71 lines · 100 tokens per session scan A 93a209a69b80

Subscribe to this mod's changes

modelica-library-workflow is a skill published in the GitHub repository Suzhou-Tongyuan/sysplorer-mcp-server (10 stars, last pushed 20d ago), licensed MIT. It adds 100 tokens to every session and 1,153 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-10-13.

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