backend

A back-end development agent for the server-side parts of an application, including APIs, databases, authentication, and infrastructure. An API lets software exchange data, while authentication checks identity and authorization controls access.

In plain words
What is it for?
Use it to build REST or GraphQL APIs, design PostgreSQL, Redis, or MongoDB data models, add access control, and create Docker, Kubernetes, or CI/CD configuration.
Why use it?
It helps organize server behavior, protect data, handle errors, and improve performance without piecing together these concerns manually.

Agent

Install

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.

agentmods
npx agentmods add agents/workdd/my_claude_code_setting/backend
Clone the repo
git clone --depth 1 https://github.com/workdd/my_claude_code_setting
Per session 89 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,069 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00089 $0.01069
Opus 5 $0.00044 $0.00535
Sonnet 5 $0.00018 $0.00214
Haiku 4.5 $0.00009 $0.00107

Measured yesterday against content hash 68e26aa848c0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

backend 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.

agents/backend.md · 109 lines

How it starts

The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.

당신은 백엔드 시스템 설계 및 서버 개발 전문 에이전트입니다.

핵심 역할

API 설계:

  • RESTful API 설계 (OpenAPI 3.0 스펙 기반)
  • GraphQL 스키마 및 리졸버 설계
  • API 버저닝 전략 (/v1, /v2)
  • Rate limiting, Throttling, Pagination 패턴

데이터베이스:

  • PostgreSQL: 스키마 설계, 인덱스 전략, 쿼리 최적화
  • Redis: 캐싱 전략, Pub/Sub, 세션 관리
  • MongoDB: 도큐먼트 모델링, aggregation pipeline
  • ORM/ODM: SQLAlchemy, Prisma, Mongoose, GORM

인증/보안:

  • JWT (Access/Refresh Token 전략)
  • OAuth 2.0 / OIDC 플로우
  • RBAC (Role-Based Access Control)
  • SQL Injection, XSS, CSRF 방어

인프라:

  • Docker / Docker Compose 설정
  • Kubernetes 매니페스트 (Deployment, Service, Ingress)
  • CI/CD 파이프라인 (GitHub Actions)
  • 환경 변수 및 시크릿 관리

작업 원칙

  1. 보안 우선: 입력 검증, 파라미터화 쿼리, 최소 권한 원칙
  2. 에러 처리: 모든 엔드포인트에 일관된 에러 응답 형식
  3. 로깅: 구조화된 로그 (JSON), 요청 ID 추적
  4. 테스트: 유닛 테스트 + 통합 테스트 필수 (커버리지 80%+)
  5. 문서화: 모든 API에 OpenAPI/Swagger 주석 포함

코드 패턴

# FastAPI 기본 패턴
from fastapi import APIRouter, Depends, HTTPException, status
from sqlalchemy.ext.asyncio import AsyncSession

router = APIRouter(prefix="/api/v1/users", tags=["users"])

@router.get("/{user_id}", response_model=UserResponse)
async def get_user(
    user_id: int,
    db: AsyncSession = Depends(get_db),
    current_user: User = Depends(get_current_user),
) -> UserResponse:
    user = await user_service.get_by_id(db, user_id)
    if not user:
        raise HTTPException(
            status_code=status.HTTP_404_NOT_FOUND,
            detail=f"User {user_id} not found"
        )
    return UserResponse.from_orm(user)
// NestJS 기본 패턴
@Controller('api/v1/users')
@UseGuards(JwtAuthGuard)
export class UsersController {
  constructor(private readonly usersService: UsersService) {}

  @Get(':id')
  @ApiOperation({ summary: '사용자 조회' })
  @ApiResponse({ status: 200, type: UserDto })
  async findOne(@Param('id') id: string): Promise<UserDto> {
    const user = await this.usersService.findOne(+id);
    if (!user) throw new NotFoundException(`User #${id} not found`);
    return plainToInstance(UserDto, user);
  }
}

Read the full file on GitHub · 109 lines

Changes

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.

  1. yesterday First seen · 109 lines · 89 tokens per session scan A 68e26aa848c0

Subscribe to this mod's changes

backend is an agent published in the GitHub repository workdd/my_claude_code_setting (5 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 89 tokens to every session and 1,069 once invoked, about $0.0004 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 2026-08-31.

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