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.
git clone --depth 1 https://github.com/madebyaris/poinf-of-salesWrote 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/rules/madebyaris/poinf-of-sales/business-logic-patterns)<a href="https://agentmods.dev/rules/madebyaris/poinf-of-sales/business-logic-patterns"><img src="https://agentmods.dev/badge/rules/madebyaris/poinf-of-sales/business-logic-patterns/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/rules/madebyaris/poinf-of-sales/business-logic-patterns"><img src="https://agentmods.dev/badge/rules/madebyaris/poinf-of-sales/business-logic-patterns.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 | $0.00017 | $0.07226 |
| Opus 5.5 | $0.00007 | $0.02890 |
| Sonnet 5.5 | $0.00003 | $0.01445 |
| Haiku 4.5 | $0.00002 | $0.00723 |
Grade A, and why
business-logic-patterns 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 1mo 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 — 975 lines — stays where its author put it; the contents beside it link to each section on GitHub.
🍽️ POS Business Logic & Domain Patterns
🎯 Core Business Domain Understanding
Restaurant Operations Model
The POS system orchestrates complex restaurant operations with multiple stakeholders and intricate workflows:
// Domain Model - Core Business Entities
interface RestaurantDomain {
// Revenue Generation
orders: OrderLifecycle[]
payments: PaymentProcessing[]
inventory: InventoryManagement
// Operations Management
tables: TableManagement
staff: StaffOperations
kitchen: KitchenWorkflow
// Business Intelligence
analytics: BusinessAnalytics
reporting: FinancialReporting
}
// Business Rules Engine
class POSBusinessRules {
validateOrderCreation(order: CreateOrderRequest): ValidationResult
calculatePricing(items: OrderItem[]): PricingCalculation
manageInventory(productId: string, quantity: number): InventoryResult
optimizeKitchenWorkflow(orders: Order[]): WorkflowOptimization
}
🔄 Critical User Journeys & Performance Optimization
1. Server Journey: Dine-In Order Creation (Target: <30 seconds)
// ✅ PERFORMANCE-OPTIMIZED: Server workflow
class ServerWorkflowOptimization {
// Pre-load critical data for instant access
private async preloadServerData(): Promise<ServerContext> {
const [products, categories, tables, activeOrders] = await Promise.all([
this.productService.getAvailableProducts(), // Cache for 5 minutes
this.categoryService.getActiveCategories(), // Cache for 1 hour
this.tableService.getTableStatus(), // Real-time, 30s cache
this.orderService.getActiveOrders() // Real-time, 10s cache
])
return { products, categories, tables, activeOrders }
}
// Optimistic order creation with rollback
async createOrderOptimistic(orderData: CreateOrderRequest): Promise<Order> {
// 1. Immediate UI feedback (0ms)
this.ui.showOrderCreating(orderData)
// 2. Validate business rules locally (5-10ms)
const validation = await this.validateOrderBusiness(orderData)
if (!validation.isValid) {
throw new BusinessRuleError(validation.errors)
}
// 3. Optimistic update (10-15ms)
const optimisticOrder = this.generateOptimisticOrder(orderData)
this.ui.showOrderCreated(optimisticOrder)
// 4. Background server sync (100-200ms)
try {
const serverOrder = await this.orderService.createOrder(orderData)
this.reconcileOptimisticOrder(optimisticOrder, serverOrder)
return serverOrder
} catch (error) {
// Rollback optimistic changes
this.rollbackOptimisticOrder(optimisticOrder)
throw error
}
}
// Business rule validation (prevent API round-trips)
private async validateOrderBusiness(order: CreateOrderRequest): Promise<ValidationResult> {
const errors: string[] = []
// Table availability check
if (order.table_id && !this.isTableAvailable(order.table_id)) {
errors.push('Table is not available')
}
// Product availability batch check
const unavailableItems = order.items.filter(item =>
!this.isProductAvailable(item.product_id, item.quantity)
)
if (unavailableItems.length > 0) {
errors.push(`Products unavailable: ${unavailableItems.map(i => i.product_id).join(', ')}`)
}
// Business hours validation
if (!this.isDuringBusinessHours()) {
errors.push('Orders cannot be created outside business hours')
}
return { isValid: errors.length === 0, errors }
}
}
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.
- 1mo ago First seen · 975 lines · 17 tokens per session scan A b7d0e78f7859
business-logic-patterns is a cursor rule published in the GitHub repository madebyaris/poinf-of-sales (154 stars, last pushed 1y ago), licensed MIT. It adds 17 tokens to every session and 7,226 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 2026-08-30.
Other cursor rules, from other repositories
cursor
You are working on the checkout service. Preserve transaction integrity and auditability.
ehs-ims-conventions
EHS IMS app — RBAC, data layer, tRPC, migrations, AI boundaries.
vtex-io-vtex-io-storefront-theme-app
Apply when designing or modifying a VTEX IO storefront theme app — the app that owns store/blocks.json, store/routes.json, store/templates/, store/contentSchemas.json, and the storefront page tree assembled from store.home, store.product, store.search, store.custom, and other native page templates. Covers how a theme…
faststore-faststore-storefront-ref-project-structure-routes-and-config
FastStore project structure, routes, CLI build pipeline, store configuration (discovery.config.js), and naming conventions. Use when understanding how a FastStore project is organized, how the @faststore/cli works, what files to create or modify, how routing works, or how to configure store settings like SEO, API…
ponytail
Ponytail, lazy senior dev mode. Always pick the simplest solution that works.
angular-20
This rule provides comprehensive best practices and coding standards for Angular development, focusing on modern TypeScript, standalone components, signals, and performance optimizations.