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 kevinnft/ai-agent-skills --skill frontend-ui-engineeringgit clone --depth 1 https://github.com/kevinnft/ai-agent-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/kevinnft/ai-agent-skills/frontend-ui-engineering)<a href="https://agentmods.dev/skills/kevinnft/ai-agent-skills/frontend-ui-engineering"><img src="https://agentmods.dev/badge/skills/kevinnft/ai-agent-skills/frontend-ui-engineering/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/kevinnft/ai-agent-skills/frontend-ui-engineering"><img src="https://agentmods.dev/badge/skills/kevinnft/ai-agent-skills/frontend-ui-engineering.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 | $0.00048 | $0.02583 |
| Opus 5 | $0.00024 | $0.01291 |
| Sonnet 5 | $0.00010 | $0.00517 |
| Haiku 4.5 | $0.00005 | $0.00258 |
Grade A, and why
frontend-ui-engineering 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 10d 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
94% identical to frontend-ui-engineering — 9 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 — 334 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Frontend UI Engineering
Overview
Build production-quality user interfaces that are accessible, performant, and visually polished. The goal is UI that looks like it was built by a design-aware engineer at a top company — not like it was generated by an AI. This means real design system adherence, proper accessibility, thoughtful interaction patterns, and no generic "AI aesthetic."
When to Use
- Building new UI components or pages
- Modifying existing user-facing interfaces
- Implementing responsive layouts
- Adding interactivity or state management
- Fixing visual or UX issues
Component Architecture
File Structure
Colocate everything related to a component:
src/components/
TaskList/
TaskList.tsx # Component implementation
TaskList.test.tsx # Tests
TaskList.stories.tsx # Storybook stories (if using)
use-task-list.ts # Custom hook (if complex state)
types.ts # Component-specific types (if needed)
Component Patterns
Prefer composition over configuration:
// Good: Composable
<Card>
<CardHeader>
<CardTitle>Tasks</CardTitle>
</CardHeader>
<CardBody>
<TaskList tasks={tasks} />
</CardBody>
</Card>
// Avoid: Over-configured
<Card
title="Tasks"
headerVariant="large"
bodyPadding="md"
content={<TaskList tasks={tasks} />}
/>
Keep components focused:
// Good: Does one thing
export function TaskItem({ task, onToggle, onDelete }: TaskItemProps) {
return (
<li className="flex items-center gap-3 p-3">
<Checkbox checked={task.done} onChange={() => onToggle(task.id)} />
<span className={task.done ? 'line-through text-muted' : ''}>{task.title}</span>
<Button variant="ghost" size="sm" onClick={() => onDelete(task.id)}>
<TrashIcon />
</Button>
</li>
);
}
Separate data fetching from presentation:
// Container: handles data
export function TaskListContainer() {
const { tasks, isLoading, error } = useTasks();
if (isLoading) return <TaskListSkeleton />;
if (error) return <ErrorState message="Failed to load tasks" retry={refetch} />;
if (tasks.length === 0) return <EmptyState message="No tasks yet" />;
return <TaskList tasks={tasks} />;
}
// Presentation: handles rendering
export function TaskList({ tasks }: { tasks: Task[] }) {
return (
<ul role="list" className="divide-y">
{tasks.map(task => <TaskItem key={task.id} task={task} />)}
</ul>
);
}
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.
- 10d ago First seen · 334 lines · 48 tokens per session scan A 2cb1fd183c10
frontend-ui-engineering is a skill published in the GitHub repository kevinnft/ai-agent-skills (14 stars, last pushed 1mo ago), licensed MIT. It adds 48 tokens to every session and 2,583 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to frontend-ui-engineering, differing in 9 lines, and is treated as a copy.
Other skills, from other repositories
data-display-and-selection
Complex data deserves multiple view modes — grid, list, table — chosen by the user based on their task. Row and item selection should use large hit areas (the whole row or card, not just a checkbox). Selected state is communicated through a subtle background colour shift. Mass actions appear when items are selected.…
information-architecture
In large applications, information architecture determines whether users can find, understand, and act on data. Naming matters. The UI should mirror the data model and signal how data can be transformed. Dangerous or irreversible changes always require a confirm dialog. Use when designing navigation, naming entities…
brand-visual-language
A brand's visual tone — playful or serious, rounded or angular — should be consistent across all UI elements. Shape language in typography, border-radius, and iconography communicates personality before a single word is read. Use when establishing a design system, choosing icon libraries, setting border-radius tokens…
generate-ui-from-brand
Pipeline skill — turns a URL or DESIGN.md into a concrete UI structure with decisions already made. Extracts live design tokens, normalizes them into a semantic system, applies UX principles, and outputs an actionable UI spec. Use when building UI for an existing brand from scratch, auditing a design system, or…
loading-states-and-perceived-performance
Manage user expectations during wait times with appropriate loading states — from simple spinners to complex skeleton screens and staggered animations. Perceived performance is often more important than actual load time. Use when designing data-heavy components, handling API calls, building hero sections, or improving…
micro-interactions
Micro-interactions are small, purposeful animations and responses that reward the user and make the interface feel alive — an animated icon, a satisfying toggle, a subtle reveal. Borrowed from the natural world, they add delight without distraction. Use when designing interactive components, success states, toggles…