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.
git clone --depth 1 https://github.com/artttj/rapid-stackWrote 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/commands/artttj/rapid-stack/ui)<a href="https://agentmods.dev/commands/artttj/rapid-stack/ui"><img src="https://agentmods.dev/badge/commands/artttj/rapid-stack/ui/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/commands/artttj/rapid-stack/ui"><img src="https://agentmods.dev/badge/commands/artttj/rapid-stack/ui.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 | $0.00018 | $0.00173 |
| Opus 5.5 | $0.00007 | $0.00069 |
| Sonnet 5.5 | $0.00004 | $0.00035 |
| Haiku 4.5 | $0.00002 | $0.00017 |
Grade A, and why
ui 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.
What it actually says
Use the design skill (from the ui-ux-pro-max plugin) on the request below. The skill ships searchable databases of styles, palettes, font pairings, charts, and UX guidelines for React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind, and shadcn/ui. Use it to plan, build, review, or fix UI work — pick a deliberate design direction, avoid AI-default aesthetics, and ship something that looks specific to the product.
If the design skill is not installed, tell the user to install it: /plugin marketplace add nextlevelbuilder/ui-ux-pro-max-skill && /plugin install ui-ux-pro-max.
$ARGUMENTS
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 · 10 lines · 18 tokens per session scan A 14c3b129626a
ui is a command published in the GitHub repository artttj/rapid-stack (2 stars, last pushed 3mo ago), licensed MIT. It adds 18 tokens to every session and 173 once invoked, about $0.0001 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 2026-08-31.
Other commands, from other repositories
live-canvas
Conduct design interviews, generate UI variations, and collect live click-to-annotate feedback that streams into the session so edits land without leaving the browser. Use when the user wants rapid iterative UI refinement, not just batched feedback.
design
Design with PRODUCT.md/DESIGN.md, optional Impeccable, and Open Design workbench.
art-generate
Generate placeholder art from asset specs using the Aseprite MCP.
art-bible
Guided visual identity specification authoring.
asset-audit
Audit assets for compliance with standards.
asset-spec
Generate asset visual specifications and AI prompts.