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 kevinnft/ai-agent-skills --skill excalidrawgit clone --depth 1 https://github.com/kevinnft/ai-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/kevinnft/ai-agent-skills/excalidraw)<a href="https://agentmods.dev/skills/kevinnft/ai-agent-skills/excalidraw"><img src="https://agentmods.dev/badge/skills/kevinnft/ai-agent-skills/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.
<a href="https://agentmods.dev/skills/kevinnft/ai-agent-skills/excalidraw"><img src="https://agentmods.dev/badge/skills/kevinnft/ai-agent-skills/excalidraw.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 | $0.00021 | $0.02307 |
| Opus 5 | $0.00010 | $0.01154 |
| Sonnet 5 | $0.00004 | $0.00461 |
| Haiku 4.5 | $0.00002 | $0.00231 |
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 11d 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.
This is a copy
97% identical to excalidraw — 11 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.
How it starts
The opening of the file, as written. The whole thing — 203 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.
When to use
Generate .excalidraw files for architecture diagrams, flowcharts, sequence diagrams, concept maps, and more. Files can be opened at excalidraw.com or uploaded for shareable links.
Workflow
- Load this skill (you already did)
- Write the elements JSON -- an array of Excalidraw element objects
- Save the file using
write_fileto create a.excalidrawfile - Optionally upload for a shareable link using
scripts/upload.pyviaterminal
Saving a Diagram
Wrap your elements array in the standard .excalidraw envelope and save with write_file:
{
"type": "excalidraw",
"version": 2,
"source": "hermes-agent",
"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:2roughness: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 cornersbackgroundColor: "#a5d8ff",fillStyle: "solid"for filled
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.
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.
- 11d ago First seen · 203 lines · 21 tokens per session scan A 1c9f24509224
excalidraw is a skill published in the GitHub repository kevinnft/ai-agent-skills (14 stars, last pushed 1mo ago), licensed MIT. It adds 21 tokens to every session and 2,307 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to excalidraw, differing in 11 lines, and is treated as a copy.
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