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 skills/jy315189/everything-cursor/backend-patternsnpx skills add jy315189/everything-cursor --skill backend-patternsgit clone --depth 1 https://github.com/jy315189/everything-cursorWrote 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/jy315189/everything-cursor/backend-patterns)<a href="https://agentmods.dev/skills/jy315189/everything-cursor/backend-patterns"><img src="https://agentmods.dev/badge/skills/jy315189/everything-cursor/backend-patterns.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.02745 |
| Opus 5 | $0.00000 | $0.01373 |
| Sonnet 5 | $0.00000 | $0.00549 |
| Haiku 4.5 | $0.00000 | $0.00275 |
Grade A, and why
backend-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 3d 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 — 401 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Backend Patterns Skill
Deep backend architecture patterns for building production-grade server applications.
When to Use
Activate this skill when:
- Designing API endpoints or services
- Making database schema decisions
- Implementing caching, queuing, or background jobs
- Setting up authentication/authorization architecture
- Structuring a backend project
1. API Design Patterns
RESTful Resource Design
// DECISION FRAMEWORK: Choose your API style
//
// REST → CRUD-heavy, public APIs, caching-friendly
// GraphQL → Complex nested data, mobile clients, bandwidth-sensitive
// tRPC → TypeScript monorepo, full-stack type safety
// gRPC → Microservice-to-microservice, high performance
// REST Naming Convention:
// ✅ GET /api/users → List users
// ✅ POST /api/users → Create user
// ✅ GET /api/users/:id → Get single user
// ✅ PATCH /api/users/:id → Partial update
// ✅ DELETE /api/users/:id → Delete user
// ✅ GET /api/users/:id/orders → Nested resource
//
// ❌ GET /api/getUsers → Verb in URL
// ❌ POST /api/users/create → Redundant verb
// ❌ GET /api/user → Singular for collection
Layered Architecture (Handler → Service → Repository)
// Layer 1: Handler — HTTP concerns ONLY
// - Parse request (params, body, query)
// - Call service
// - Format HTTP response
// - NO business logic here
async function createUserHandler(req: Request, res: Response) {
const input = CreateUserSchema.parse(req.body) // validate
const result = await userService.createUser(input) // delegate
return res.status(201).json({ success: true, data: result })
}
// Layer 2: Service — Business logic ONLY
// - Orchestrate operations
// - Enforce business rules
// - Transaction boundaries
// - NO HTTP concepts, NO direct DB queries
class UserService {
constructor(
private userRepo: UserRepository,
private emailService: EmailService,
private eventBus: EventBus
) {}
async createUser(input: CreateUserInput): Promise<User> {
await this.ensureEmailUnique(input.email)
const user = await this.userRepo.create({
...input,
password: await hashPassword(input.password),
})
await this.eventBus.publish('user.created', { userId: user.id })
return user
}
}
// Layer 3: Repository — Data access ONLY
// - Single table/entity operations
// - Query construction
// - NO business logic, NO cross-entity operations
class UserRepository {
async create(data: CreateUserData): Promise<User> {
return prisma.user.create({ data })
}
async findByEmail(email: string): Promise<User | null> {
return prisma.user.findUnique({ where: { email } })
}
}
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.
- 3d ago First seen · 401 lines · 0 tokens per session scan A cdff36570540
backend-patterns is a skill published in the GitHub repository jy315189/everything-cursor (2 stars, last pushed 6mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,745 tokens. 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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