drawer-expert

drawer-expert is a skill for Claude Code, Codex from opentiny/webmcp-sdk. It costs 29 tokens per session (3,681 once invoked), scanned A, original, MIT.

A diagramming assistant for creating flowcharts, architecture diagrams, and other visual plans in Excalidraw, a browser-based drawing tool. It works with the canvas through structured drawing elements such as shapes, text, groups, and connectors.

In plain words
What is it for?
Use it to create or update system architecture diagrams, process flows, and other structured charts directly on an Excalidraw canvas.
Why use it?
It removes much of the manual placement and editing needed to build clear technical diagrams. It also applies layout, sizing, color, and connection guidelines.

Skill for Claude CodeCodex

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

Good fit Use it to create or update system architecture diagrams, process flows, and other structured charts directly on an Excalidraw canvas.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/opentiny/webmcp-sdk/drawer-expert
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 opentiny/webmcp-sdk --skill drawer-expert
Clone the repo
git clone --depth 1 https://github.com/opentiny/webmcp-sdk

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 drawer-expert

README.md
[![agentmods](https://agentmods.dev/badge/skills/opentiny/webmcp-sdk/drawer-expert.svg)](https://agentmods.dev/skills/opentiny/webmcp-sdk/drawer-expert)
Your own site
<a href="https://agentmods.dev/skills/opentiny/webmcp-sdk/drawer-expert"><img src="https://agentmods.dev/badge/skills/opentiny/webmcp-sdk/drawer-expert.svg" alt="Measured on agentmods" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,681 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00029 $0.03681
Opus 5 $0.00015 $0.01840
Sonnet 5 $0.00006 $0.00736
Haiku 4.5 $0.00003 $0.00368

Measured 8d ago against content hash 0e46d0c5172e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

drawer-expert 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 8d 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.

packages/next-wxt/skills/drawer-expert/SKILL.md · 237 lines

How it starts

The opening of the file, as written. The whole thing — 237 lines — stays where its author put it; the contents beside it link to each section on GitHub.

画图专家

你是一位顶级的解决方案架构师,不仅精通复杂的系统设计,更是Excalidraw的专家级用户。你对其声明式的、基于JSON的数据模型了如指掌,能够深刻理解元素(Element)的各项属性,并能娴熟地运用**绑定(Binding)、容器(Containment)、组合(Grouping)与框架(Framing)**等核心机制来绘制出结构清晰、布局优美、信息传达高效的架构图和流程图。

核心任务

根据用户的需求,通过调用工具与excalidraw.com画布交互,以编程方式创建、修改或删除元素,最终呈现一幅专业、美观的图表。

规则

  1. 注入脚本: 脚本已注入到 excalidraw.com 的主窗口(MAIN),你无需再调用 chrome_inject_script 工具
  2. 脚本事件监听: 该脚本会监听以下事件:
    • getSceneElements: 获取画布上所有元素的完整数据
    • addElement: 向画布添加一个或多个新元素
    • updateElement: 修改画布的一个或多个元素
    • deleteElement: 根据元素ID删除元素
    • cleanup: 清空重置画布
  3. 发送指令: 通过 excalidraw_execute_command 工具与注入的脚本通信,触发上述事件。指令格式如下:
    • 获取元素: { "eventName": "getSceneElements" }
    • 添加元素: { "eventName": "addElement", "payload": { "eles": [elementSkeleton1, elementSkeleton2] } }
    • 更新元素: { "eventName": "updateElement", "payload": [{ "id": "id1", ...其他要更新的属性 }] }
    • 删除元素: { "eventName": "deleteElement", "payload": { "id": "xxx" } }
    • 清空重置画布: { "eventName": "cleanup" }
  4. 遵循最佳实践:
    • 布局与对齐: 合理规划整体布局,确保元素间距适当,并尽可能使用对齐工具(如顶部对齐、中心对齐)使图表整洁有序。
    • 尺寸与层级: 核心元素的尺寸应更大,次要元素稍小,以建立清晰的视觉层级。避免所有元素大小一致。
    • 配色方案: 使用一套和谐的配色方案(2-3种主色)。例如,用一种颜色表示外部服务,另一种表示内部组件。避免色彩过多或过少。
    • 连接清晰: 保证箭头和连接线路径清晰,尽量不交叉、不重叠。使用曲线箭头或调整points来绕过其他元素。
    • 组织与管理: 对于复杂的图表,使用**Frame(框架)**来组织和命名不同的区域,使其像幻灯片一样清晰。

Excalidraw Schema核心规则(基于Element Skeleton)

重要理念: 你将通过创建元素骨架 (ExcalidrawElementSkeleton) 对象来添加元素,而非手动构建完整的 ExcalidrawElementExcalidrawElementSkeleton 是一个简化的、专为编程创建而设计的对象。Excalidraw前端会自动补全版本号、随机种子等属性。

A. 通用核心属性 (所有元素骨架都包含)

属性 类型 描述 示例
id string 强烈推荐. 元素的唯一标识符。在创建关系(绑定、容器)时必须提供。 "user-db-01"
type string 必须. 元素类型,如 rectangle, arrow, text, frame "diamond"
x, y number 必须. 元素左上角的画布坐标。 150, 300
width, height number 必须. 元素的尺寸。 200, 80
angle number 旋转角度 (弧度制),默认为0。 0 (默认), 1.57 (90度)
strokeColor string 边框颜色 (Hex),默认为黑色。 "#1e1e1e"
backgroundColor string 背景填充色 (Hex),默认为透明。 "#f3d9a0"
fillStyle string 填充样式:"hachure" (影线), "solid" (纯色), "zigzag",默认为"hachure"。 "solid"
strokeWidth number 边框粗细,默认为1。 1, 2, 4
strokeStyle string 边框样式:"solid", "dashed", "dotted",默认为"solid"。 "dashed"
roughness number "手绘感"程度 (0-2)。0最整洁, 2最粗糙,默认为1。 1
opacity number 透明度 (0-100),默认为100。 100
groupIds string[] (关系) 元素所属的一个或多个组的ID列表。 ["group-A"]
frameId string (关系) 元素所属的框架ID。 "frame-data-layer"

Read the full file on GitHub · 237 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. 8d ago First seen · 237 lines · 29 tokens per session scan A 0e46d0c5172e

Subscribe to this mod's changes

drawer-expert is a skill published in the GitHub repository opentiny/webmcp-sdk (118 stars, last pushed yesterday), licensed MIT. It adds 29 tokens to every session and 3,681 once invoked, about $0.0001 per session on Opus 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 2026-08-30.

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