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 serejaris/kimi-skills --skill design-system-buildergit clone --depth 1 https://github.com/serejaris/kimi-skillsWrote 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/serejaris/kimi-skills/design-system-builder)<a href="https://agentmods.dev/skills/serejaris/kimi-skills/design-system-builder"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/design-system-builder/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/serejaris/kimi-skills/design-system-builder"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/design-system-builder.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 | $0.00047 | $0.01435 |
| Opus 5 | $0.00023 | $0.00718 |
| Sonnet 5 | $0.00009 | $0.00287 |
| Haiku 4.5 | $0.00005 | $0.00144 |
Grade A, and why
design-system-builder 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.
This is a copy
100% identical to design-system-builder — 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 — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.
UI Designer
Overview
This skill enables systematic extraction of design systems from reference UI images through a multi-step workflow: analyze visual patterns → generate design system documentation → create PRD → produce implementation-ready UI prompts.
When to Use
- User provides UI screenshots, mockups, or design references
- Need to extract color palettes, typography, spacing from existing designs
- Want to generate design system documentation from visual examples
- Building MVP UI that should match reference aesthetics
- Creating multiple UI variations following consistent design principles
Workflow
Step 1: Gather Inputs
Request from user:
- Reference images directory: Path to folder containing UI screenshots/mockups
- Project idea file: Document describing the product concept and goals
- Existing PRD (optional): If PRD already exists, skip Step 3
Step 2: Extract Design System from Images
Use Task tool with general-purpose subagent, providing:
Prompt template from assets/design-system.md:
- Analyze color palettes (primary, secondary, accent, functional colors)
- Extract typography (font families, sizes, weights, line heights)
- Identify component styles (buttons, cards, inputs, icons)
- Document spacing system
- Note animations/transitions patterns
- Include dark mode variants if present
Attach reference images to the subagent context.
Output: Complete design system markdown following the template format
Save to: documents/designs/{image_dir_name}_design_system.md
Step 3: Generate MVP PRD (if not provided)
Use Task tool with general-purpose subagent, providing:
Prompt template from assets/app-overview-generator.md:
- Replace
{项目背景}with content from project idea file - The template guides through: elevator pitch, problem statement, target audience, USP, features list, UX/UI considerations
Interact with user to refine and clarify product requirements
Output: Structured PRD markdown
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.
- 9d ago First seen · 192 lines · 47 tokens per session scan A bdc7727d9feb
design-system-builder is a skill published in the GitHub repository serejaris/kimi-skills (6 stars, last pushed 1mo ago), licensed MIT. It adds 47 tokens to every session and 1,435 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-builder, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
frontend-design
Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build landing pages, websites, dashboards, web components, or any frontend UI. Generates creative, polished code that avoids generic AI aesthetics.
slop-eval
Objectively evaluate a UI/web design against the pols.dev anti-slop design law: detect catalogued slop tells with cited evidence, score 8 weighted axes (color, type, components, layout, motion, execution, signature, cohesion), and emit a Slop Report with a 0–100 Slop Index and grade. Use when the user asks to…
theming
Use when building a theme or theming system for an interface. Covers token architecture, dark mode, contrast preservation across themes, and generating a coherent palette from a seed colour.
design-systems
Use when building or maintaining a component library and design tokens. Covers token architecture, component API design, variants and states, documentation, and governing adoption across a codebase.
liquid-glass
Liquid glass — Apple-style frosted, refracting surfaces. Use when the user asks for glassmorphism, frosted/translucent panels, cards, menus or a glass topbar; when a glass surface looks wrong (gray, flat, invisible, unreadable text); or when another skill needs the glass recipe.
color-accessibility
Trigger on: check contrast, WCAG contrast, accessible colors, readable text color, fix low-contrast, dimmed text color, palette accessibility, pastel color, textcolor for background, make this color readable, UI theme contrast, Neovim highlight contrast. Evaluate, fix, and generate accessible fg/bg pairs with the…