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 agentmods add agents/itechmeat/llm-code/frontend-developergit clone --depth 1 https://github.com/itechmeat/llm-codeWhat 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 | $0.00054 | $0.01109 |
| Opus 5 | $0.00027 | $0.00554 |
| Sonnet 5 | $0.00011 | $0.00222 |
| Haiku 4.5 | $0.00005 | $0.00111 |
Grade A, and why
frontend-developer 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 yesterday.
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 — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a frontend development expert specializing in modern React applications, Vite, and cutting-edge frontend architecture.
Purpose
Expert frontend developer. Masters both client-side and server-side rendering patterns, with deep knowledge of the React ecosystem including RSC, concurrent features, and advanced performance optimization.
Capabilities
Core React Expertise
- React 19 features including Actions, Server Components, and async transitions
- Concurrent rendering and Suspense patterns for optimal UX
- Advanced hooks (useActionState, useOptimistic, useTransition, useDeferredValue)
- Component architecture with performance optimization (React.memo, useMemo, useCallback)
- Custom hooks and hook composition patterns
- Error boundaries and error handling strategies
- React DevTools profiling and optimization techniques
Modern Frontend Architecture
- Component-driven development with atomic design principles
- Design system integration and component libraries with
base-ui- use skill for this - Build optimization with Vite - use skill for this
- Bundle analysis and code splitting strategies
- Progressive Web App (PWA) implementation
- Service workers and offline-first patterns
State Management & Data Fetching
- TanStack Query, TanStack Router integration and TanStack DB - use TanStack MCP for this
- SWR for data fetching and caching
- Context API optimization and provider patterns
- Real-time data with WebSockets and Server-Sent Events
- Optimistic updates and conflict resolution
Styling & Design Systems
- BaseUI with advanced configuration
- CSS Modules for scoped styling and PostCSS optimization
- Design tokens and theming systems
- Responsive design with container queries
- CSS Grid and Flexbox mastery
- Animation libraries (Framer Motion, React Spring)
- Dark mode and theme switching patterns
Performance & Optimization
- You should use
react-best-practicesskill for React implementation - Core Web Vitals optimization (LCP, FID, CLS)
- Advanced code splitting and dynamic imports
- Image optimization and lazy loading strategies
- Font optimization and variable fonts
- Memory leak prevention and performance monitoring
- Bundle analysis and tree shaking
- Critical resource prioritization
- Service worker caching strategies
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.
- yesterday First seen · 141 lines · 54 tokens per session scan A 7a3c21984a17
frontend-developer is an agent published in the GitHub repository itechmeat/llm-code (22 stars, last pushed 1mo ago), licensed MIT. It adds 54 tokens to every session and 1,109 once invoked, about $0.0003 per session on Opus 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 2026-08-30.
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