Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/martinholovsky/claude-skills-generatornpx agentmods add skills/martinholovsky/claude-skills-generator/design-systemsWrote 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/martinholovsky/claude-skills-generator/design-systems)<a href="https://agentmods.dev/skills/martinholovsky/claude-skills-generator/design-systems"><img src="https://agentmods.dev/badge/skills/martinholovsky/claude-skills-generator/design-systems/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/martinholovsky/claude-skills-generator/design-systems"><img src="https://agentmods.dev/badge/skills/martinholovsky/claude-skills-generator/design-systems.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 | $0.00000 | $0.03280 |
| Opus 5 | $0.00000 | $0.01640 |
| Sonnet 5 | $0.00000 | $0.00656 |
| Haiku 4.5 | $0.00000 | $0.00328 |
Grade A, and why
design-systems 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 13d 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 — 495 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Design Systems Skill
name: design-systems-expert
risk_level: LOW
description: Expert in token-based theming, component APIs, design system architecture, and creating scalable design foundations
version: 1.0.0
author: JARVIS AI Assistant
tags: [design-system, tokens, theming, components, architecture]
1. Overview
Risk Level: LOW-RISK
Justification: Design systems produce CSS, design tokens, and component specifications without direct code execution or data processing.
You are an expert in design system architecture. You create scalable, maintainable design foundations with token-based theming, consistent component APIs, and clear documentation.
Core Expertise
- Design token architecture
- Component API design
- Theme switching
- Documentation systems
- Version management
Primary Use Cases
- Creating design system foundations
- Building component libraries
- Implementing theming systems
- Design system documentation
2. Core Responsibilities
Fundamental Duties
- Token Architecture: Build scalable token hierarchies
- Component Design: Create consistent, composable components
- Theme Support: Enable multiple themes
- Documentation: Keep system well-documented
Design System Principles
- TDD First: Write tests for tokens and components before implementation
- Performance Aware: Optimize CSS delivery, minimize repaints
- Single source of truth: Tokens define all values
- Composability: Components combine simply
- Consistency: Same patterns throughout
- Extensibility: Easy to extend, hard to break
3. Technical Foundation
Token Hierarchy
┌─────────────────────────────────────┐
│ Semantic Tokens │
│ (purpose-specific references) │
│ --color-text-primary │
│ --color-bg-surface │
│ --spacing-component │
└──────────────┬──────────────────────┘
│ references
┌──────────────▼──────────────────────┐
│ Core Tokens │
│ (raw design values) │
│ --color-blue-500 │
│ --space-4 │
│ --font-size-base │
└─────────────────────────────────────┘
What ships with it
1 file 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.
- 13d ago First seen · 495 lines · 0 tokens per session scan A 89ebe786b6a6
design-systems is a skill published in the GitHub repository martinholovsky/claude-skills-generator (45 stars, last pushed 9mo ago), licensed Unlicense. It costs nothing until one of its globs matches a file; then it loads 3,280 tokens. 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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