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 ngocsangyem/MeowKit --skill ui-design-systemgit clone --depth 1 https://github.com/ngocsangyem/MeowKitWrote 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/ngocsangyem/meowkit/ui-design-system)<a href="https://agentmods.dev/skills/ngocsangyem/meowkit/ui-design-system"><img src="https://agentmods.dev/badge/skills/ngocsangyem/meowkit/ui-design-system/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/ngocsangyem/meowkit/ui-design-system"><img src="https://agentmods.dev/badge/skills/ngocsangyem/meowkit/ui-design-system.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 | $0.00100 | $0.00879 |
| Opus 5 | $0.00050 | $0.00439 |
| Sonnet 5 | $0.00020 | $0.00176 |
| Haiku 4.5 | $0.00010 | $0.00088 |
Grade A, and why
mk:ui-design-system 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 9d 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
UI Design System
Data-driven design intelligence: curated palettes, font pairings, product recommendations, UX guidelines, accessibility standards, and quality checklists.
When to Use
- Creating or reviewing UI components
- Setting up a design system for a new project
- Checking WCAG accessibility compliance
- Selecting color palettes, typography, or UI styles
- Choosing chart types for data visualization
- Responsive design review
Process
- Understand requirements — what product type? audience? style direction?
- Look up design data — read
references/data-lookup.mdfor how to query:- Color palette →
assets/colors.csv(161 WCAG-verified palettes by product type) - Font pairing →
assets/typography.csv(73 pairings with Google Fonts URLs) - Product direction →
assets/products.csv(161 types with style/dashboard/color recs) - UX check →
assets/ux-guidelines.csv(99 Do/Don't rules with severity) - Chart type →
assets/charts.csv(25 types with accessibility grades)
- Color palette →
- Apply design rules — load from references/ based on task:
- Visual design →
references/design-patterns.md - Accessibility →
references/accessibility-standards.md - Quality check →
references/quality-checklist.md
- Visual design →
- Validate — run quality-checklist.md before handoff
Data Assets (NEW — v2.0)
| File | Rows | Content |
|---|---|---|
assets/colors.csv |
160 | WCAG-verified palettes by product type (hex values) |
assets/typography.csv |
73 | Font pairings with mood, Google Fonts URLs, Tailwind config |
assets/products.csv |
161 | Product type → style, landing pattern, dashboard, color focus |
assets/ux-guidelines.csv |
98 | Do/Don't pairs with category + severity |
assets/charts.csv |
25 | Data type → best chart, accessibility grade, library |
What ships with it
9 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.
- 9d ago First seen · 83 lines · 100 tokens per session scan A e931c044846f
mk:ui-design-system is a skill published in the GitHub repository ngocsangyem/MeowKit (14 stars, last pushed 1mo ago), licensed MIT. It adds 100 tokens to every session and 879 once invoked, about $0.0005 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 2026-09-03.
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