Borrowing it
Nothing to install: this file belongs to Siddharth11Roy/tldraw-claude-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Siddharth11Roy/tldraw-claude-mcp/main/.claude/skills/tldraw/SKILL.mdgit clone --depth 1 https://github.com/Siddharth11Roy/tldraw-claude-mcpWrote 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/siddharth11roy/tldraw-claude-mcp/tldraw)<a href="https://agentmods.dev/skills/siddharth11roy/tldraw-claude-mcp/tldraw"><img src="https://agentmods.dev/badge/skills/siddharth11roy/tldraw-claude-mcp/tldraw/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/siddharth11roy/tldraw-claude-mcp/tldraw"><img src="https://agentmods.dev/badge/skills/siddharth11roy/tldraw-claude-mcp/tldraw.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 | $0.00068 | $0.01453 |
| Opus 5 | $0.00034 | $0.00727 |
| Sonnet 5 | $0.00014 | $0.00291 |
| Haiku 4.5 | $0.00007 | $0.00145 |
Grade A, and why
tldraw 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 12d 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 — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
tldraw skill
You can draw on a live tldraw canvas through the tldraw MCP server. The user
watches your output appear in real time at http://localhost:3030.
Before drawing
If you have not drawn yet this session, tell the user once:
Open
http://localhost:3030in your browser to see the canvas.
If a tool reports that no canvas is connected, repeat that hint and retry.
Pick the right tool
| Situation | Tool |
|---|---|
| Flowchart, architecture, state machine, sequence, org chart, dependency graph, mind map — anything with nodes and edges | create_diagram |
| Free-form drawing, wireframes, annotations, sketching | create_shape |
| Linking shapes that already exist | connect_shapes |
| Changing something already drawn | get_canvas → update_shape |
Use create_diagram instead of writing mermaid. It takes the same
nodes-and-edges description and renders it natively: it measures each label,
assigns layers, minimises crossings and binds the connectors.
Never compute x/y for a diagram. Hand-placed coordinates are what
produce overlapping boxes and crossing arrows — that is exactly the work this
tool exists to do.
create_diagram
{
"title": "Login flow",
"direction": "down",
"nodes": [
{ "id": "start", "label": "Start", "role": "start" },
{ "id": "form", "label": "Show login form" },
{ "id": "check", "label": "Credentials valid?", "role": "decision" },
{ "id": "home", "label": "Go to dashboard", "role": "success" },
{ "id": "retry", "label": "Show error", "role": "error" }
],
"edges": [
{ "from": "start", "to": "form" },
{ "from": "form", "to": "check" },
{ "from": "check", "to": "home", "label": "yes" },
{ "from": "check", "to": "retry", "label": "no" },
{ "from": "retry", "to": "form" }
]
}
direction:down(mermaid TD),right(LR),up,left.connector:elbow(default, right-angled) orarc.rolesets shape + colour conventionally, so describe meaning not styling:process(default),start,end,decision,io,data,external,error,success,note.replace: trueclears the canvas first — use when redrawing from scratch.rankpins a node to a specific layer;spacingandoriginoverride geometry.
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.
- 12d ago First seen · 123 lines · 68 tokens per session scan A 6318e356cd48
tldraw is a skill published in the GitHub repository Siddharth11Roy/tldraw-claude-mcp (14 stars, last pushed 1mo ago), licensed MIT. It adds 68 tokens to every session and 1,453 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 2026-08-30.
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