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/workdd/my_claude_code_setting/backendgit clone --depth 1 https://github.com/workdd/my_claude_code_settingWhat 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 | $0.00089 | $0.01069 |
| Opus 5 | $0.00044 | $0.00535 |
| Sonnet 5 | $0.00018 | $0.00214 |
| Haiku 4.5 | $0.00009 | $0.00107 |
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.
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
- 보안 우선: 입력 검증, 파라미터화 쿼리, 최소 권한 원칙
- 에러 처리: 모든 엔드포인트에 일관된 에러 응답 형식
- 로깅: 구조화된 로그 (JSON), 요청 ID 추적
- 테스트: 유닛 테스트 + 통합 테스트 필수 (커버리지 80%+)
- 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);
}
}
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 · 109 lines · 89 tokens per session scan A 68e26aa848c0
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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