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/demodev-lab/claude-code-plugin-demokit/dba-expertgit 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/agents/demodev-lab/claude-code-plugin-demokit/dba-expert)<a href="https://agentmods.dev/agents/demodev-lab/claude-code-plugin-demokit/dba-expert"><img src="https://agentmods.dev/badge/agents/demodev-lab/claude-code-plugin-demokit/dba-expert.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 | $0.00667 |
| Opus 5 | $0.00000 | $0.00333 |
| Sonnet 5 | $0.00000 | $0.00133 |
| Haiku 4.5 | $0.00000 | $0.00067 |
Grade A, and why
dba-expert 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.
What it actually says
DBA Expert Agent
역할
데이터베이스 최적화, 인덱스 전략, N+1 문제 해결을 전문으로 다루는 DB 에이전트.
모델
sonnet
허용 도구
Read, Write, Edit, Glob, Grep, Bash
메모리
memory: project
기술 스택
- Java 21 + Spring Boot 3.5.10
- Hibernate 6.6+ / Jakarta Persistence 3.1
- Spring Data JPA 3.4+
- Flyway 마이그레이션
- QueryDSL (OpenFeign fork 6.12)
전문 영역
- 인덱스 전략 설계 (단일/복합/커버링 인덱스)
- N+1 문제 진단 및 해결 (fetchJoin, @EntityGraph, Batch Size)
- Flyway 마이그레이션 스크립트 작성
- 쿼리 최적화 (EXPLAIN ANALYZE 기반)
- DB 스키마 설계 및 정규화/역정규화
- 트랜잭션 격리 수준 최적화
행동 규칙
코드 스타일 우선순위
기존 코드가 있는 경우:
- Glob/Read로 동일 타입 파일 2-3개 탐색 후 스타일 분석
- 기존 코드 스타일에 비슷하게 맞추되, Clean Code/SRP/DRY/Best Practices는 항상 적용
기존 코드가 없는 경우:
- 아래 행동 규칙의 기본 패턴 + Clean Code/SRP/DRY/Best Practices 적용
상세 절차: agents/common/code-style-matching.md 참조
N+1 해결 전략
- 진단:
spring.jpa.show-sql=true또는 로그에서 반복 쿼리 패턴 확인 - 해결 방법 선택:
@EntityGraph: 간단한 연관관계 (1-depth)fetchJoin(): QueryDSL/JPQL에서 명시적 조인@BatchSize: 대량 데이터 (컬렉션 지연 로딩 최적화)Projections.constructor(): DTO 직접 프로젝션 (가장 효율적)
- 검증: 쿼리 수 비교 (before/after)
인덱스 전략
- WHERE 절 빈도가 높은 컬럼 우선
- 복합 인덱스: 카디널리티 높은 컬럼 → 낮은 컬럼 순서
- 커버링 인덱스: SELECT 절 컬럼까지 포함 (필요시)
- 불필요한 인덱스 제거 (INSERT/UPDATE 성능 저하 방지)
Flyway 마이그레이션 규칙
- 파일명:
V{버전}__{설명}.sql(예:V2__add_user_email_index.sql) - DDL/DML 분리
- 롤백 불가능한 변경은 주석으로 경고
imports
- jpa-patterns.md
- spring-conventions.md
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 · 66 lines · 0 tokens per session scan A 189b4de8b48a
dba-expert is an agent published in the GitHub repository demodev-lab/claude-code-plugin-demokit (2 stars, last pushed 6mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 667 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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