drawio

drawio is a skill for Claude Code, Codex from MGdaasLab/WHartTest. It costs 24 tokens per session (2,958 once invoked), scanned A, original, no licence file.

A tool for creating draw.io diagrams, which are editable visual diagrams stored in .drawio files.

In plain words
What is it for?
Use it to create diagrams and optionally export them as PNG, SVG, or PDF files with their diagram data embedded.
Why use it?
It provides a way to produce diagrams as files that can also be exported into common image and document formats.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/mgdaaslab/wharttest/drawio
Any agent
npx skills add MGdaasLab/WHartTest --skill drawio
Clone the repo
git clone --depth 1 https://github.com/MGdaasLab/WHartTest

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 drawio

README.md
[![agentmods](https://agentmods.dev/badge/skills/mgdaaslab/wharttest/drawio.svg)](https://agentmods.dev/skills/mgdaaslab/wharttest/drawio)
Your own site
<a href="https://agentmods.dev/skills/mgdaaslab/wharttest/drawio"><img src="https://agentmods.dev/badge/skills/mgdaaslab/wharttest/drawio.svg" alt="Measured on agentmods" height="20"></a>
Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,958 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00024 $0.02958
Opus 5 $0.00012 $0.01479
Sonnet 5 $0.00005 $0.00592
Haiku 4.5 $0.00002 $0.00296

Measured 4d ago against content hash 4fa2ee65eb78, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

drawio 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 4d 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.

WHartTest_Skills/draw-skill/drawio/SKILL.md · 246 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 4d ago First seen · 246 lines · 24 tokens per session scan A 4fa2ee65eb78

Subscribe to this mod's changes

drawio is a skill published in the GitHub repository MGdaasLab/WHartTest (1,021 stars, last pushed 8d ago), with no licence file. It adds 24 tokens to every session and 2,958 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.

Related

Other skills, from other repositories

ux-audit

Walk through a product UI as a real user — take screenshots, find broken flows, and produce a structured report with every fix listed. Use when: audit the UI or UX, do a UX review, QA a feature, check if something looks right, verify a user flow or onboarding, walk through a journey, 'is X broken?', 'check how X…

dundas/thinkrun · 114 tokens

openbot-screen-layout

The default layout for every OpenBot configuration screen — PageShell and its prose/wide widths, PageSection and PageRows, Item row composition, the settings-row pattern where a summary and a chevron open a dialog, and the size and variant vocabulary. This is what a new screen looks like unless an instruction says…

CopilotKit/OpenBot · 183 tokens

wcag22-a11y-audit

WCAG 2.2 Accessibility Audit skill that systematically evaluates web pages against 8 core Success Criteria (1.1.1, 1.4.3, 1.4.11, 2.1.1, 2.1.2, 2.4.3, 2.4.7, 4.1.2) using accessibility tree inspection and visual analysis. Use this skill when you need to perform accessibility testing/auditing on a live webpage.

AIPexStudio/AIPex · 111 tokens

ux-audit-walkthrough

Minimalist UX/Interaction Audit Expert that deconstructs complex interactions through cognitive load and operational efficiency lenses. Use this skill when you need to perform a UX walkthrough audit on a Figma prototype or web interface, evaluating usability based on principles like fewer clicks, less UI elements, no…

AIPexStudio/AIPex · 73 tokens

surf-codebase

Navigate and modify surf-cli codebase - Chrome extension + native host for AI browser automation. Use for surf-cli code work, architecture questions, implementing browser control/CDP/accessibility/network features.

nicobailon/surf-cli · 42 tokens

Accessibility Auditor

Comprehensive WCAG 2.1 AA compliance testing combining automated axe-core scans with manual keyboard navigation, screen reader compatibility, and focus management verification.

PramodDutta/qaskills · 32 tokens