excalidraw

excalidraw is a skill for Claude Code, Codex from moltis-org/moltis. It costs 58 tokens per session (2,234 once invoked), scanned A, a copy of excalidraw, MIT.

A method for creating editable hand-drawn diagrams in Excalidraw, a browser-based diagramming tool, by generating its JSON file format.

In plain words
What is it for?
Use it to create architecture diagrams, process flowcharts, sequence diagrams, and concept maps as .excalidraw files.
Why use it?
It makes architecture diagrams, flowcharts, and related visuals easy to save, reopen, edit, and share without extra rendering software.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for hermes-agent. Also seen: built for hermes-agent.

Good fit Use it to create architecture diagrams, process flowcharts, sequence diagrams, and concept maps as .excalidraw files.

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Install with agentmods
npx agentmods add skills/moltis-org/moltis/excalidraw
About the project

Moltis is a persistent personal agent server written in Rust that runs on hardware controlled by its user. It provides an AI agent with sandboxed command execution, model-provider connections, memory, voice, scheduling, messaging integrations, browser automation, and MCP tools. Its catalogue add-ons extend the agent’s workflows and available tools.

moltis-org/moltis · 2,847 stars · on GitHub · moltis.org

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 moltis-org/moltis --skill excalidraw
Clone the repo
git clone --depth 1 https://github.com/moltis-org/moltis

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/moltis-org/moltis/excalidraw.svg)](https://agentmods.dev/skills/moltis-org/moltis/excalidraw)
Your own site
<a href="https://agentmods.dev/skills/moltis-org/moltis/excalidraw"><img src="https://agentmods.dev/badge/skills/moltis-org/moltis/excalidraw.svg" alt="Measured on agentmods" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,234 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 95% copy Near-identical to another mod 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 $0.00058 $0.02234
Opus 5 $0.00029 $0.01117
Sonnet 5 $0.00012 $0.00447
Haiku 4.5 $0.00006 $0.00223

Measured 8d ago against content hash 8cc75dcb9134, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/upload.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.

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.

Origin

This is a copy

95% identical to excalidraw — 24 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

crates/skills/src/assets/creative/excalidraw/SKILL.md · 190 lines

How it starts

The opening of the file, as written. The whole thing — 190 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Excalidraw Diagram Skill

Create diagrams by writing standard Excalidraw element JSON and saving as .excalidraw files. These files can be drag-and-dropped onto excalidraw.com for viewing and editing. No accounts, no API keys, no rendering libraries -- just JSON.

Workflow

  1. Load this skill (you already did)
  2. Write the elements JSON -- an array of Excalidraw element objects
  3. Save the file using write_file to create a .excalidraw file
  4. Optionally upload for a shareable link using scripts/upload.py via terminal

Saving a Diagram

Wrap your elements array in the standard .excalidraw envelope and save with write_file:

{
  "type": "excalidraw",
  "version": 2,
  "source": "moltis",
  "elements": [ ...your elements array here... ],
  "appState": {
    "viewBackgroundColor": "#ffffff"
  }
}

Save to any path, e.g. ~/diagrams/my_diagram.excalidraw.

Uploading for a Shareable Link

Run the upload script (located in this skill's scripts/ directory) via terminal:

python skills/diagramming/excalidraw/scripts/upload.py ~/diagrams/my_diagram.excalidraw

This uploads to excalidraw.com (no account needed) and prints a shareable URL. Requires the cryptography pip package (pip install cryptography).


Element Format Reference

Required Fields (all elements)

type, id (unique string), x, y, width, height

Defaults (skip these -- they're applied automatically)

  • strokeColor: "#1e1e1e"
  • backgroundColor: "transparent"
  • fillStyle: "solid"
  • strokeWidth: 2
  • roughness: 1 (hand-drawn look)
  • opacity: 100

Canvas background is white.

Element Types

Rectangle:

{ "type": "rectangle", "id": "r1", "x": 100, "y": 100, "width": 200, "height": 100 }
  • roundness: { "type": 3 } for rounded corners
  • backgroundColor: "#a5d8ff", fillStyle: "solid" for filled

Ellipse:

{ "type": "ellipse", "id": "e1", "x": 100, "y": 100, "width": 150, "height": 150 }

Read the full file on GitHub · 190 lines

Files

What ships with it

4 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. 8d ago First seen · 190 lines · 58 tokens per session scan A 8cc75dcb9134

Subscribe to this mod's changes

excalidraw is a skill published in the GitHub repository moltis-org/moltis (2,847 stars, last pushed 5d ago), licensed MIT. It adds 58 tokens to every session and 2,234 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to excalidraw, differing in 24 lines, and is treated as a copy.

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