Borrowing it
Nothing to install: this file belongs to MDGrey33/claude_mind. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/MDGrey33/claude_mind/main/.claude/skills/frontend/SKILL.mdgit clone --depth 1 https://github.com/MDGrey33/claude_mindWrote 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/mdgrey33/claude_mind/frontend)<a href="https://agentmods.dev/skills/mdgrey33/claude_mind/frontend"><img src="https://agentmods.dev/badge/skills/mdgrey33/claude_mind/frontend/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/mdgrey33/claude_mind/frontend"><img src="https://agentmods.dev/badge/skills/mdgrey33/claude_mind/frontend.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 | $0.00016 | $0.00858 |
| Opus 5.5 | $0.00006 | $0.00343 |
| Sonnet 5.5 | $0.00003 | $0.00172 |
| Haiku 4.5 | $0.00002 | $0.00086 |
Grade A, and why
frontend 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 2mo 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 — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Frontend Development Skill
Build responsive, accessible, and performant user interfaces.
When to Use
- Implementing UI components
- Building page layouts
- Adding interactivity
- Styling and theming
- Accessibility improvements
Component Structure
// Good component structure
function UserCard({ user, onEdit, onDelete }) {
const handleEdit = () => onEdit(user.id);
const handleDelete = () => onDelete(user.id);
return (
<article className="user-card" aria-label={`User: ${user.name}`}>
<header>
<h3>{user.name}</h3>
<span>{user.email}</span>
</header>
<footer>
<button onClick={handleEdit} aria-label="Edit user">
Edit
</button>
<button onClick={handleDelete} aria-label="Delete user">
Delete
</button>
</footer>
</article>
);
}
State Management
Local State
const [isOpen, setIsOpen] = useState(false);
const [formData, setFormData] = useState(initialData);
Derived State
const sortedItems = useMemo(() =>
items.sort((a, b) => a.name.localeCompare(b.name)),
[items]
);
Server State
const { data, isLoading, error } = useQuery(['users'], fetchUsers);
Accessibility Requirements
- Semantic HTML elements
- ARIA labels where needed
- Keyboard navigation
- Focus management
- Color contrast (4.5:1 minimum)
- Screen reader testing
- Reduced motion support
Responsive Design
/* Mobile first */
.container {
padding: 1rem;
}
/* Tablet */
@media (min-width: 768px) {
.container {
padding: 2rem;
}
}
/* Desktop */
@media (min-width: 1024px) {
.container {
max-width: 1200px;
margin: 0 auto;
}
}
Performance Best Practices
- Lazy load routes/components
- Optimize images (WebP, srcset)
- Minimize bundle size
- Use code splitting
- Memoize expensive renders
- Debounce input handlers
Form Handling
function LoginForm({ onSubmit }) {
const [email, setEmail] = useState('');
const [password, setPassword] = useState('');
const [errors, setErrors] = useState({});
const handleSubmit = (e) => {
e.preventDefault();
const validation = validate({ email, password });
if (!validation.valid) {
setErrors(validation.errors);
return;
}
onSubmit({ email, password });
};
return (
<form onSubmit={handleSubmit} noValidate>
<label htmlFor="email">Email</label>
<input
id="email"
type="email"
value={email}
onChange={(e) => setEmail(e.target.value)}
aria-invalid={!!errors.email}
aria-describedby={errors.email ? 'email-error' : undefined}
/>
{errors.email && <span id="email-error">{errors.email}</span>}
{/* ... password field ... */}
<button type="submit">Login</button>
</form>
);
}
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.
- 2mo ago First seen · 163 lines · 16 tokens per session scan A 186963b374de
frontend is a skill published in the GitHub repository MDGrey33/claude_mind (2 stars, last pushed 10mo ago), licensed MIT. It adds 16 tokens to every session and 858 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-31.
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