excalidraw

excalidraw is a skill for Claude Code, Codex from malue-ai/dazee-small. It costs 29 tokens per session (841 once invoked), scanned A, original, MIT.

A generator for hand-drawn diagrams in Excalidraw JSON format. Excalidraw is a diagram editor that displays flowcharts, mind maps, architecture sketches, and other drawings in a rough, informal style.

In plain words
What is it for?
Use it to create flowcharts, mind maps, concept maps, architecture diagrams, and simple interface wireframes that can be opened in Excalidraw.
Why use it?
It turns a described idea into an editable diagram file without requiring the layout to be drawn manually.

Skill for Claude CodeCodex

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

Good fit Use it to create flowcharts, mind maps, concept maps, architecture diagrams, and simple interface wireframes that can be opened in Excalidraw.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/malue-ai/dazee-small/excalidraw
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 malue-ai/dazee-small --skill excalidraw
Clone the repo
git clone --depth 1 https://github.com/malue-ai/dazee-small

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 excalidraw

README.md
[![agentmods](https://agentmods.dev/badge/skills/malue-ai/dazee-small/excalidraw/github.svg)](https://agentmods.dev/skills/malue-ai/dazee-small/excalidraw)
Your own site
<a href="https://agentmods.dev/skills/malue-ai/dazee-small/excalidraw"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/excalidraw/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 excalidraw

Your own site · 80×15
<a href="https://agentmods.dev/skills/malue-ai/dazee-small/excalidraw"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/excalidraw.svg" alt="Reviewed on agentmods" width="80" 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 841 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 $0.00029 $0.00841
Opus 5 $0.00015 $0.00420
Sonnet 5 $0.00006 $0.00168
Haiku 4.5 $0.00003 $0.00084

Measured 8d ago against content hash 81632627fffd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

excalidraw 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.

instances/xiaodazi/skills/excalidraw/SKILL.md · 102 lines

What it actually says

手绘风格图表(Excalidraw)

生成手绘风格的图表、流程图、思维导图、架构图,输出 Excalidraw JSON 格式文件。

使用场景

  • 用户说「画个手绘风格的流程图」「帮我画个思维导图」
  • 用户需要轻松亲切的图表风格(非正式场合)
  • 用户想快速可视化想法,不需要太正式

执行方式

生成 Excalidraw JSON 格式文件(.excalidraw),用户可直接用 Excalidraw 打开编辑。

与 draw-io 的区别

特点 Excalidraw draw-io
风格 手绘、轻松、亲切 专业、正式、规范
适用场景 头脑风暴、教学、非正式演示 正式文档、技术规范
编辑方式 网页/桌面 APP 网页/桌面 APP

支持的图表类型

  1. 思维导图:主题发散、知识梳理
  2. 流程图:简单流程、决策树
  3. 概念图:概念关系、知识网络
  4. 架构图:系统组件关系
  5. 线框图:简单 UI 草图

JSON 生成规范

{
  "type": "excalidraw",
  "version": 2,
  "elements": [
    {
      "type": "rectangle",
      "x": 100,
      "y": 100,
      "width": 200,
      "height": 80,
      "strokeColor": "#1e1e1e",
      "backgroundColor": "#a5d8ff",
      "fillStyle": "hachure",
      "roughness": 1,
      "roundness": { "type": 3 }
    }
  ]
}

配色方案

使用 Excalidraw 预设的柔和配色:

  • 蓝色系:#a5d8ff(主节点)
  • 绿色系:#b2f2bb(正面/完成)
  • 黄色系:#ffec99(注意/进行中)
  • 红色系:#ffc9c9(问题/阻塞)
  • 紫色系:#d0bfff(辅助信息)

输出流程

  1. 理解用户需求,确认图表类型
  2. 生成 Excalidraw JSON 文件并保存
  3. 告诉用户文件路径和打开方式
# 在线打开
# https://excalidraw.com/ → 导入文件

# 如果安装了桌面版
open /path/to/diagram.excalidraw

输出规范

  • 生成的文件扩展名为 .excalidraw
  • 默认使用手绘风格(roughness: 1)
  • 节点间距合理,避免拥挤
  • 文字使用 Excalidraw 内置的手写体
  • 复杂图表先确认结构,再生成
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 · 102 lines · 29 tokens per session scan A 81632627fffd

Subscribe to this mod's changes

excalidraw is a skill published in the GitHub repository malue-ai/dazee-small (36 stars, last pushed 5mo ago), licensed MIT. It adds 29 tokens to every session and 841 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 2026-08-31.

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