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 RudyCity/superagent --skill design-system-patternsgit clone --depth 1 https://github.com/RudyCity/superagentWrote 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/rudycity/superagent/design-system-patterns)<a href="https://agentmods.dev/skills/rudycity/superagent/design-system-patterns"><img src="https://agentmods.dev/badge/skills/rudycity/superagent/design-system-patterns.svg" alt="Measured on agentmods" 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 | $0.00042 | $0.00890 |
| Opus 5 | $0.00021 | $0.00445 |
| Sonnet 5 | $0.00008 | $0.00178 |
| Haiku 4.5 | $0.00004 | $0.00089 |
Grade A, and why
design-system-patterns 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 8d 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.
This is a copy
100% identical to design-system-patterns — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Design System Patterns
Master design system architecture to create consistent, maintainable, and scalable UI foundations across web and mobile applications.
When to Use This Skill
- Creating design tokens for colors, typography, spacing, and shadows
- Implementing light/dark theme switching with CSS custom properties
- Building multi-brand theming systems
- Architecting component libraries with consistent APIs
- Establishing design-to-code workflows with Figma tokens
- Creating semantic token hierarchies (primitive, semantic, component)
- Setting up design system documentation and guidelines
Core Capabilities
1. Design Tokens
- Primitive tokens (raw values: colors, sizes, fonts)
- Semantic tokens (contextual meaning: text-primary, surface-elevated)
- Component tokens (specific usage: button-bg, card-border)
- Token naming conventions and organization
- Multi-platform token generation (CSS, iOS, Android)
2. Theming Infrastructure
- CSS custom properties architecture
- Theme context providers in React
- Dynamic theme switching
- System preference detection (prefers-color-scheme)
- Persistent theme storage
- Reduced motion and high contrast modes
3. Component Architecture
- Compound component patterns
- Polymorphic components (as prop)
- Variant and size systems
- Slot-based composition
- Headless UI patterns
- Style props and responsive variants
4. Token Pipeline
- Figma to code synchronization
- Style Dictionary configuration
- Token transformation and formatting
- CI/CD integration for token updates
Quick Start
// Design tokens with CSS custom properties
const tokens = {
colors: {
// Primitive tokens
gray: {
50: "#fafafa",
100: "#f5f5f5",
900: "#171717",
},
blue: {
500: "#3b82f6",
600: "#2563eb",
},
},
// Semantic tokens (reference primitives)
semantic: {
light: {
"text-primary": "var(--color-gray-900)",
"text-secondary": "var(--color-gray-600)",
"surface-default": "var(--color-white)",
"surface-elevated": "var(--color-gray-50)",
"border-default": "var(--color-gray-200)",
"interactive-primary": "var(--color-blue-500)",
},
dark: {
"text-primary": "var(--color-gray-50)",
"text-secondary": "var(--color-gray-400)",
"surface-default": "var(--color-gray-900)",
"surface-elevated": "var(--color-gray-800)",
"border-default": "var(--color-gray-700)",
"interactive-primary": "var(--color-blue-400)",
},
},
};
What ships with it
4 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.
- 8d ago First seen · 116 lines · 42 tokens per session scan A 618355f0e6c6
design-system-patterns is a skill published in the GitHub repository RudyCity/superagent (21 stars, last pushed yesterday), licensed MIT. It adds 42 tokens to every session and 890 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to design-system-patterns, differing in 0 lines, and is treated as a copy.
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