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 Djtony707/TITAN --skill frontend-ui-engineeringgit clone --depth 1 https://github.com/Djtony707/TITANWrote 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/djtony707/titan/frontend-ui-engineering)<a href="https://agentmods.dev/skills/djtony707/titan/frontend-ui-engineering"><img src="https://agentmods.dev/badge/skills/djtony707/titan/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/djtony707/titan/frontend-ui-engineering"><img src="https://agentmods.dev/badge/skills/djtony707/titan/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 | $0.02540 |
| Opus 5 | $0.00024 | $0.01270 |
| Sonnet 5 | $0.00010 | $0.00508 |
| Haiku 4.5 | $0.00005 | $0.00254 |
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 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
97% identical to frontend-ui-engineering — 4 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 — 329 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.
- 9d ago First seen · 329 lines · 48 tokens per session scan A 9f9e5b3141c8
frontend-ui-engineering is a skill published in the GitHub repository Djtony707/TITAN (19 stars, last pushed 2d ago), licensed MIT. It adds 48 tokens to every session and 2,540 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to frontend-ui-engineering, differing in 4 lines, and is treated as a copy.
Other skills, from other repositories
web-design
Penguin visual language for generated web pages and app UIs — GitHub-style simplicity with a single blue accent, light and pure-black dark themes, design tokens, component and chat-interface recipes, plus an opt-in warm paper editorial theme.
ui-craft
Design, build, redesign, or modify browser-visible web interfaces with product-quality composition, visual systems, interaction states, responsive behavior, accessibility, and browser visual QA. Use for HTML, CSS, JavaScript, React, Vue, or Svelte pages and components, landing pages, dashboards, admin tools, settings…
figma
Fetch Figma design context, variables, screenshots, and assets through MCP when working from Figma URLs or node IDs, or diagnosing its integration.
frontend-design
Design and implement polished web components, pages, and applications with a coherent visual direction and usable interaction states.
frontend-design
Guidance for distinctive, intentional visual design when building or reshaping UI, HTML/React artifacts, dashboards, charts, and visual reports. Use before implementation to choose a content-specific structure, typography, and visual system that does not read as a templated default.
gpt-tasteskill
Use this skill for premium frontend interfaces that require GSAP scroll animations, mathematically verified bento grids, and award-quality design. The most demanding taste variant.