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 skills add joaquimscosta/arkhe-claude-plugins --skill spring-boot-data-dddgit clone --depth 1 https://github.com/joaquimscosta/arkhe-claude-pluginsWrote 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/joaquimscosta/arkhe-claude-plugins/spring-boot-data-ddd)<a href="https://agentmods.dev/skills/joaquimscosta/arkhe-claude-plugins/spring-boot-data-ddd"><img src="https://agentmods.dev/badge/skills/joaquimscosta/arkhe-claude-plugins/spring-boot-data-ddd/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/joaquimscosta/arkhe-claude-plugins/spring-boot-data-ddd"><img src="https://agentmods.dev/badge/skills/joaquimscosta/arkhe-claude-plugins/spring-boot-data-ddd.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00094 | $0.01083 |
| Opus 5.5 | $0.00038 | $0.00433 |
| Sonnet 5.5 | $0.00019 | $0.00217 |
| Haiku 4.5 | $0.00009 | $0.00108 |
Grade A, and why
spring-boot-data-ddd 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 — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Spring Boot Data Layer for DDD
Implements DDD tactical patterns with Spring Data JPA and Spring Data JDBC in Spring Boot 4.
Technology Selection
| Choose | When |
|---|---|
| Spring Data JPA | Complex queries, existing Hibernate expertise, need lazy loading |
| Spring Data JDBC | DDD-first design, simpler mapping, aggregate-per-table, no lazy loading |
Spring Data JDBC enforces aggregate boundaries naturally—recommended for new DDD projects.
Core Workflow
- Define aggregate root → 2. Map value objects → 3. Create repository → 4. Implement service layer → 5. Add projections
See WORKFLOW.md for detailed step-by-step instructions with code examples.
Quick Patterns
See EXAMPLES.md for complete working examples including:
- Aggregate Root with AbstractAggregateRoot and domain events (Java + Kotlin)
- Repository with EntityGraph for N+1 prevention
- Transactional Service with proper boundaries
- Value Objects (Strongly-typed IDs, Money pattern)
- Projections for efficient read operations
- Auditing with automatic timestamps
Spring Boot 4 Specifics
- JSpecify null-safety:
@NullMarkedand@Nullableannotations - AOT Repository Compilation: Enabled by default for faster startup
- Jakarta EE 11: All imports use
jakarta.*namespace - ListCrudRepository: New interface returning
List<T>instead ofIterable<T>
ListCrudRepository (Spring Data 3.1+)
New repository interface returning List<T> for better API ergonomics:
// OLD: CrudRepository returns Iterable<T>
public interface UserRepository extends CrudRepository<User, Long> {
Iterable<User> findAll(); // Requires conversion to List
}
// NEW: ListCrudRepository returns List<T>
public interface UserRepository extends ListCrudRepository<User, Long> {
List<User> findAll(); // Direct List return
List<User> findAllById(Iterable<Long> ids); // Also List
}
// Can also extend both for full functionality
public interface UserRepository extends
ListCrudRepository<User, Long>,
ListPagingAndSortingRepository<User, Long> {
}
What ships with it
6 files 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.
- yesterday First seen · 104 lines · 94 tokens per session scan A 1c1f4ff826e1
spring-boot-data-ddd is a skill published in the GitHub repository joaquimscosta/arkhe-claude-plugins (21 stars, last pushed yesterday), licensed MIT. It adds 94 tokens to every session and 1,083 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-10-16.
Other skills, from other repositories
java-cache
Use when the user asks to add caching, configure Redis or Caffeine cache, use @Cacheable/@CacheEvict/@CachePut, optimize repeated database or API calls, or review existing Spring Boot cache configuration.
backend-patterns
Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes. Use when building or reviewing Node.js, Express, or Next.js API routes and their data access.
event-store-design
Design and implement event stores for event-sourced systems. Use when building event sourcing infrastructure, choosing event store technologies, or implementing event persistence patterns.
cqrs-implementation
Implement Command Query Responsibility Segregation for scalable architectures. Use when separating read and write models, optimizing query performance, or building event-sourced systems.
ai-persistence/build-drizzle-adapter
Use when an app already runs Drizzle ORM and needs TanStack AI chat persistence — writes a chat-persistence.ts into the app against its existing db handle, schema file, and drizzle-kit journal. Covers the four tables (SQLite/Postgres/MySQL), the onConflict idempotency rules, JSON columns, and per-request bindings like…
ai-persistence/stores
Implement the MessageStore, RunStore, InterruptStore, MetadataStore contracts for @tanstack/ai-persistence against any database. defineAIPersistence, composePersistence overrides, critical invariants (full-replace saveThread, optional loadThread limit/before hint, insert-if-absent createOrResume and interrupt create)…