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 Suzhou-Tongyuan/sysplorer-mcp-server --skill sysplorer-mds-docsgit clone --depth 1 https://github.com/Suzhou-Tongyuan/sysplorer-mcp-serverWrote 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/suzhou-tongyuan/sysplorer-mcp-server/sysplorer-mds-docs)<a href="https://agentmods.dev/skills/suzhou-tongyuan/sysplorer-mcp-server/sysplorer-mds-docs"><img src="https://agentmods.dev/badge/skills/suzhou-tongyuan/sysplorer-mcp-server/sysplorer-mds-docs/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.
<a href="https://agentmods.dev/skills/suzhou-tongyuan/sysplorer-mcp-server/sysplorer-mds-docs"><img src="https://agentmods.dev/badge/skills/suzhou-tongyuan/sysplorer-mcp-server/sysplorer-mds-docs.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00397 | $0.01944 |
| Opus 5.5 | $0.00159 | $0.00778 |
| Sonnet 5.5 | $0.00079 | $0.00389 |
| Haiku 4.5 | $0.00040 | $0.00194 |
Grade A, and why
sysplorer-mds-docs 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.
How it starts
The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sysplorer MDS help-center docs (mdsSearch)
Scope
- In scope: Retrieve / explain official help — concepts, tutorial steps, principles, failure causes, official example explanations, best practices — via MCP
sysplorer-search/mdsSearchwhen the tool is listed. - Out of scope (do not primary-trigger):
- Actually create, author, check, compile, simulate, modify, or debug a concrete model →
ty-sysplorer-modeling-rules+ domain skills - API signatures / parameters →
get_api_document/ListFunctions - One loaded class’s params/ports →
get_lib_model_document
- Actually create, author, check, compile, simulate, modify, or debug a concrete model →
All references/... paths are relative to this skill directory.
Trigger boundary (avoid stealing modeling skills)
| User intent | Primary skill | Role of this skill |
|---|---|---|
| 「帮我建一维传动系,生成 Modelica 并检查仿真」 | Modeling skills | Do not primary-trigger |
| 「解释理想齿轮、扭转弹簧在一维传动里的建模原理」 | This skill | mdsSearch → answer + 参考链接 block |
| 「查官方帮助:齿轮、惯量、支承怎么连接」 | This skill | mdsSearch → answer + 参考链接 block |
| 「先按官方文档,再帮我实际搭建并仿真」 | Modeling primary | Auxiliary: search first (with links), then hand off modeling |
Rule: main goal = 查/讲官方帮助 → this skill. Main goal = 落地建/检/仿/改模型 → modeling skills (MDS only if official text is needed mid-flow).
Do not treat bare「是什么/为什么/怎么做」+ Modelica as enough to steal execution tasks like「怎么用 Modelica 开发传动系统」when the user wants a deliverable model.
Topic hints (only when the ask is documentation-Q&A): references/trigger-scenarios.md, references/doc-taxonomy.md.
Hard rules
- Completion gate — source links in the same turn: if
mdsSearchreturned ≥1 hit, the first user-visible reply is incomplete until it ends with a 三列 Markdown table「参考链接」:序号 | 描述 | 链接. The 链接 column must usemetadata.external_link(real http(s) URL). Do not putmetadata.location(internal path /tags:…, topic_id:…) in 链接 — that is not a hyperlink. Full template:references/answer-contract.md. - Tool identity: MCP
sysplorer-search, toolmdsSearch. Pass only{ "query": "<string>" }. Do not inventbaseUrl/storeName/appId/ token /topK. - Availability: if
mdsSearchis not in the current tool list → unavailable → fallback; do not speculate why. query: ~100-character hypothetical answer in coherent prose — not keywords, not the raw user question. Seereferences/query-examples.md.- Empty / whitespace
queryinvalid. Retry after no-hit/failure must rewritequery(no identical args). - Not API / class handbook; not primary modeling executor.
- Never block modeling on MDS absence or failure.
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.
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.
- 19d ago First seen · 102 lines · 397 tokens per session scan A 89d82c23b109
sysplorer-mds-docs is a skill published in the GitHub repository Suzhou-Tongyuan/sysplorer-mcp-server (10 stars, last pushed 20d ago), licensed MIT. It adds 397 tokens to every session and 1,944 once invoked, about $0.0016 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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