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/demodev-lab/claude-code-plugin-demokit/pipelinenpx skills add demodev-lab/claude-code-plugin-demokit --skill pipelinegit clone --depth 1 https://github.com/demodev-lab/claude-code-plugin-demokitWrote 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/demodev-lab/claude-code-plugin-demokit/pipeline)<a href="https://agentmods.dev/skills/demodev-lab/claude-code-plugin-demokit/pipeline"><img src="https://agentmods.dev/badge/skills/demodev-lab/claude-code-plugin-demokit/pipeline.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 | $0.00049 | $0.01282 |
| Opus 5 | $0.00024 | $0.00641 |
| Sonnet 5 | $0.00010 | $0.00256 |
| Haiku 4.5 | $0.00005 | $0.00128 |
Grade A, and why
pipeline 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 4d 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 — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/pipeline - Spring Boot 개발 파이프라인
help
인자가 help이면 아래 도움말만 출력하고 실행을 중단한다:
/pipeline — Spring Boot 9단계 개발 파이프라인
사용법:
/pipeline {feature}
/pipeline status
/pipeline next
상태 파일:
.pipeline/status.json
단계:
Phase 1: Schema - DB 스키마 설계 (dba-expert)
Phase 2: Convention - 코드 컨벤션 확인 (spring-architect)
Phase 3: Infra - 인프라 설정 (infra-expert)
Phase 4: Feature - 핵심 기능 구현 (domain-expert)
Phase 5: Integration - 서비스 통합 (service-expert)
Phase 6: Testing - 테스트 작성 (test-expert)
Phase 7: Performance - 성능 최적화 (dba-expert)
Phase 8: Review - 코드 리뷰 (code-reviewer)
Phase 9: Deployment - 배포 준비 (devops-engineer)
예시:
/pipeline user-management
/pipeline status
/pipeline next
핵심 동작 규칙
1) /pipeline {feature}
feature가 들어오면 아래 명령으로 파이프라인 상태를 시작/갱신한다.
node scripts/pipeline-ctl.js start "{feature}"
# 또는
node scripts/pipeline-ctl.js start --feature "{feature}"
- 상태 파일:
.pipeline/status.json - 이미 같은 feature가 진행 중이면 기존 상태를 재사용한다.
- 강제 재시작이 필요하면
--reset을 사용한다.
2) /pipeline status
아래 명령으로 현재 phase/진행률을 조회한다.
node scripts/pipeline-ctl.js status
응답에는 아래를 포함한다:
- 현재 feature
- 현재 phase (id/name/agent)
- 완료/전체 진행률
- 각 phase 상태(pending/in-progress/completed)
3) /pipeline next
아래 명령으로 자동 전이를 수행한다.
node scripts/pipeline-ctl.js next
전이 규칙:
- 현재 phase를 completed 처리
- 다음 phase가 있으면 자동으로 in-progress 전환
- 마지막 phase면 파이프라인 완료 처리
실행 절차 (각 phase에서 할 일)
Phase 1: Schema (DB 스키마 설계)
담당 에이전트: dba-expert
- 요구사항 기반 ERD 설계
- 테이블 정의 (컬럼, 타입, 제약조건)
- 인덱스 전략 초안
- Flyway 마이그레이션 스크립트 생성
Phase 2: Convention (코드 컨벤션 확인)
담당 에이전트: spring-architect
- 패키지 구조 확인/생성
- 네이밍 컨벤션 검증
- 공통 모듈 (BaseEntity, GlobalExceptionHandler) 확인
- 기존 코드 패턴 분석
Phase 3: Infra (인프라 설정)
담당 에이전트: infra-expert
- application.yml 프로파일 설정
- Docker Compose 설정 (DB, Redis 등)
- Gradle 의존성 확인/추가
- 환경 변수 정리
Phase 4: Feature (핵심 기능 구현)
담당 에이전트: domain-expert
- Entity 구현 (JPA 매핑, 연관관계)
- Repository 구현 (쿼리 메서드, QueryDSL)
- DTO 정의 (Request/Response record)
- 도메인 비즈니스 로직
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 4d ago First seen · 155 lines · 49 tokens per session scan A 281e8a9000a9
pipeline is a skill published in the GitHub repository demodev-lab/claude-code-plugin-demokit (2 stars, last pushed 6mo ago), licensed MIT. It adds 49 tokens to every session and 1,282 once invoked, about $0.0002 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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