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 cyberelf/agent_skills --skill beautiful-drawiogit clone --depth 1 https://github.com/cyberelf/agent_skillsWrote 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/cyberelf/agent_skills/beautiful-drawio)<a href="https://agentmods.dev/skills/cyberelf/agent_skills/beautiful-drawio"><img src="https://agentmods.dev/badge/skills/cyberelf/agent_skills/beautiful-drawio/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/cyberelf/agent_skills/beautiful-drawio"><img src="https://agentmods.dev/badge/skills/cyberelf/agent_skills/beautiful-drawio.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 | $0.00066 | $0.02504 |
| Opus 5 | $0.00033 | $0.01252 |
| Sonnet 5 | $0.00013 | $0.00501 |
| Haiku 4.5 | $0.00007 | $0.00250 |
Grade A, and why
beautiful-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 10d 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 — 254 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Beautiful Draw.io
Create native .drawio diagrams with a layout-first workflow designed for dense block diagrams, architecture maps, and connection-heavy systems.
This skill exists because the baseline drawio workflow focuses on XML generation and export, while high-quality diagrams require an explicit layout pass before any mxGraph XML is written.
For complex diagrams, do not rely on natural-language layout instructions alone. The preferred path is now a typed JSON specification plus either an ELK-backed layout engine or a structured row/column packer, so the agent describes structure, hierarchy, and sibling order rather than hand-authoring absolute coordinates.
When To Use
- The user asks for
.drawiooutput but wants the visual quality closer to a Mermaid/ELK layout. - The diagram has many edges, cross-domain links, or layered blocks.
- The user explicitly complains about overlapping edges, node collisions, or too many crossings.
- The diagram is a system architecture, block diagram, deployment map, data flow, security boundary diagram, or multi-lane flowchart.
Core Difference From The Default Drawio Skill
- Default
drawio: write mxGraph XML directly, then adjust routing ad hoc. beautiful-drawio: design topology first, reduce crossings before placement, route edges by lane and hierarchy, then emit mxGraph XML.- Default
drawio: treats layout as a side effect of coordinates. beautiful-drawio: treats layout as a first-class design step.
Workflow
0. Use the typed JSON pipeline for dense diagrams
If the diagram has more than a handful of nodes or any nontrivial crossing pressure, use the structured pipeline:
- The agent chooses a diagram type such as
product-block,technical-architecture,data-flow, ordeployment. - The agent supplies nodes, containers, parent-child hierarchy, and sibling order in JSON.
- The agent does not supply absolute coordinates unless preserving a partially fixed legacy diagram.
- Run ELK layout script.
- Let the script generate optimized coordinates and draw.io XML.
- Only do manual edits after the script output if a small visual adjustment is still needed.
What ships with it
6 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.
- 10d ago First seen · 254 lines · 66 tokens per session scan A 1b99ad81eaed
beautiful-drawio is a skill published in the GitHub repository cyberelf/agent_skills (2 stars, last pushed 15d ago), licensed MIT. It adds 66 tokens to every session and 2,504 once invoked, about $0.0003 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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