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 eigent-ai/agent-skills --skill excalidrawgit clone --depth 1 https://github.com/eigent-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/eigent-ai/agent-skills/excalidraw)<a href="https://agentmods.dev/skills/eigent-ai/agent-skills/excalidraw"><img src="https://agentmods.dev/badge/skills/eigent-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/eigent-ai/agent-skills/excalidraw"><img src="https://agentmods.dev/badge/skills/eigent-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 | $0.00045 | $0.01969 |
| Opus 5.5 | $0.00018 | $0.00788 |
| Sonnet 5.5 | $0.00009 | $0.00394 |
| Haiku 4.5 | $0.00005 | $0.00197 |
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 1mo 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 — 267 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Excalidraw Diagram Generator
Generate architecture diagrams as .excalidraw files directly from codebase analysis.
Quick Start
User just asks:
"Generate an architecture diagram for this project"
"Create an excalidraw diagram of the system"
"Visualize this codebase as an excalidraw file"
Claude Code will:
- Analyze the codebase (any language/framework)
- Identify components, services, databases, APIs
- Map relationships and data flows
- Generate valid
.excalidrawJSON with dynamic IDs and labels
No prerequisites: Works without existing diagrams, Terraform, or specific file types.
Critical Rules
1. NEVER Use Diamond Shapes
Diamond arrow connections are broken in raw Excalidraw JSON. Use styled rectangles instead:
| Semantic Meaning | Rectangle Style |
|---|---|
| Orchestrator/Hub | Coral (#ffa8a8/#c92a2a) + strokeWidth: 3 |
| Decision Point | Orange (#ffd8a8/#e8590c) + dashed stroke |
2. Labels Require TWO Elements
The label property does NOT work in raw JSON. Every labeled shape needs:
// 1. Shape with boundElements reference
{
"id": "my-box",
"type": "rectangle",
"boundElements": [{ "type": "text", "id": "my-box-text" }]
}
// 2. Separate text element with containerId
{
"id": "my-box-text",
"type": "text",
"containerId": "my-box",
"text": "My Label"
}
3. Elbow Arrows Need Three Properties
For 90-degree corners (not curved):
{
"type": "arrow",
"roughness": 0, // Clean lines
"roundness": null, // Sharp corners
"elbowed": true // 90-degree mode
}
4. Arrow Edge Calculations
Arrows must start/end at shape edges, not centers:
| Edge | Formula |
|---|---|
| Top | (x + width/2, y) |
| Bottom | (x + width/2, y + height) |
| Left | (x, y + height/2) |
| Right | (x + width, y + height/2) |
Detailed arrow routing: See references/arrows.md
Element Types
| Type | Use For |
|---|---|
rectangle |
Services, databases, containers, orchestrators |
ellipse |
Users, external systems, start/end points |
text |
Labels inside shapes, titles, annotations |
arrow |
Data flow, connections, dependencies |
line |
Grouping boundaries, separators |
What ships with it
5 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.
- 1mo ago First seen · 267 lines · 45 tokens per session scan A 4e5e0235b446
excalidraw is a skill published in the GitHub repository eigent-ai/agent-skills (24 stars, last pushed 12d ago), licensed Apache-2.0. It adds 45 tokens to every session and 1,969 once invoked, about $0.0002 per session on Opus 5.5. 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.
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