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 rules/materialize-labs/ai-optimized-starter-app/frontendgit clone --depth 1 https://github.com/materialize-labs/ai-optimized-starter-appWhat 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 | $0.00009 | $0.02847 |
| Opus 5 | $0.00005 | $0.01424 |
| Sonnet 5 | $0.00002 | $0.00569 |
| Haiku 4.5 | $0.00001 | $0.00285 |
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 2d 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 — 495 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Frontend Architecture Guidelines
Technology Stack
Our frontend leverages a modern stack designed for performance, developer experience, and maintainability:
- Framework: Next.js 15+ with App Router
- Styling: Tailwind CSS for utility-first styling
- UI Components: Shadcn UI as a component foundation
- Animations: Framer Motion for fluid animations
- Icons: Lucide React for consistent iconography
Core Principles
- Type Safety: Leverage TypeScript for robust, maintainable code
- Component-Driven Development: Build reusable, composable components
- Performance-First: Optimize for core web vitals and user experience
- Accessibility: Ensure WCAG compliance in all UIs
- Progressive Enhancement: Build resilient interfaces that work across devices
Component Architecture
Component Types
Our application uses both Server Components and Client Components following Next.js paradigms:
| Component Type | Use Case | Key Considerations |
|---|---|---|
| Server Components | Data fetching, SEO-critical content | No useState, no event handlers |
| Client Components | Interactive UIs, forms, animations | Add "use client" directive at top of file |
Component Organization
app/
├── [route]/ # Route directories
│ ├── _components/ # Route-specific components
│ ├── page.tsx # Route page component
│ └── layout.tsx # Route layout component
components/
├── ui/ # Shared UI components
└── [feature]/ # Feature-specific shared components
Naming Conventions
- Use kebab-case for all component files:
data-table.tsx - Use PascalCase for component names:
DataTable - Group related components in feature-specific directories
- Suffix context providers with
Provider:AuthProvider
Component Guidelines
Server vs Client Components
- Always add the appropriate directive at the top of your file:
"use server"for server components"use client"for client components
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.
- 2d ago First seen · 495 lines · 9 tokens per session scan A 10aa5f7e3c81
frontend is a cursor rule published in the GitHub repository materialize-labs/ai-optimized-starter-app (16 stars, last pushed 1y ago), licensed MIT. It adds 9 tokens to every session and 2,847 once invoked, about $0.0000 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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