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 Mathews-Tom/armory --skill tldrawgit clone --depth 1 https://github.com/Mathews-Tom/armoryWrote 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/mathews-tom/armory/tldraw)<a href="https://agentmods.dev/skills/mathews-tom/armory/tldraw"><img src="https://agentmods.dev/badge/skills/mathews-tom/armory/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/mathews-tom/armory/tldraw"><img src="https://agentmods.dev/badge/skills/mathews-tom/armory/tldraw.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 63 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00128 | $0.02333 |
| Opus 5.5 | $0.00051 | $0.00933 |
| Sonnet 5.5 | $0.00026 | $0.00467 |
| Haiku 4.5 | $0.00013 | $0.00233 |
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 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 — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
tldraw Whiteboard Diagrams
Overview
Generate hand-drawn whiteboard-style diagrams as .tldr JSON files and export to PNG/SVG using @kitschpatrol/tldraw-cli. tldraw produces a hand-drawn aesthetic with rich shape libraries and smooth arrow routing — well-suited for casual, sketch-style visualizations rather than polished business diagrams.
Format: .tldr JSON
Export: PNG, SVG (via @kitschpatrol/tldraw-cli)
Aesthetic: Hand-drawn whiteboard style by default; switchable to clean fonts via font prop.
When to Use
| User need | Use tldraw |
Use instead |
|---|---|---|
| Whiteboard / hand-drawn-style flowchart, sequence, ERD, or UML sketch | Yes | — |
| ML / deep-learning model diagram with tensor-shape annotations | Yes | — |
Freehand or figurative sketching (the draw shape) |
Yes | — |
| Polished business/infra/deployment architecture diagram | No | architecture-diagram |
| Logos, solid-color graphics, or filled icons | No | tldraw has no opaque fill (solid = light tint); use the original vector source |
| Interactive HTML dashboard or infographic | No | static-web-artifacts-builder |
| Data charts, plots, sparklines | No | chart-clarity |
Proactive triggers: explaining a system with 3+ interacting components, describing a multi-step process or data flow, showing relationships between services/modules, decision trees, or ML model layers.
Skip when: a simple list or table suffices, or the user is in a quick Q&A flow.
Known constraints (route elsewhere or set expectations if these matter):
- No opaque fill —
solidrenders as a light tint, so white-on-dark artwork can't be reproduced. - Manual coordinates only — no automatic layout of many nodes.
- Arrowheads are filled triangles/diamonds, not the hollow heads strict UML notation uses.
- PDF export isn't supported by
tldraw-cli(PNG/SVG only).
Prerequisites
Uses @kitschpatrol/tldraw-cli — a third-party, MIT-licensed export tool maintained independently of the tldraw.dev project. It is not the official create-tldraw project-scaffolding CLI; don't confuse the two. It renders .tldr files to PNG/SVG via a headless Chrome instance (puppeteer).
What ships with it
7 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 · 138 lines · 128 tokens per session scan A 876316ed8ef8
tldraw is a skill published in the GitHub repository Mathews-Tom/armory (337 stars, last pushed today), licensed MIT. It adds 128 tokens to every session and 2,333 once invoked, about $0.0005 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 2026-09-05.
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