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/jabrena/cursor-rules-examples/312-frameworks-spring-data-jdbcnpx skills add jabrena/cursor-rules-examples --skill 312-frameworks-spring-data-jdbcgit clone --depth 1 https://github.com/jabrena/cursor-rules-examplesWrote 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/jabrena/cursor-rules-examples/312-frameworks-spring-data-jdbc)<a href="https://agentmods.dev/skills/jabrena/cursor-rules-examples/312-frameworks-spring-data-jdbc"><img src="https://agentmods.dev/badge/skills/jabrena/cursor-rules-examples/312-frameworks-spring-data-jdbc.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 | $0.00057 | $0.00356 |
| Opus 5 | $0.00028 | $0.00178 |
| Sonnet 5 | $0.00011 | $0.00071 |
| Haiku 4.5 | $0.00006 | $0.00036 |
Grade A, and why
312-frameworks-spring-data-jdbc 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 5d 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
Spring Data JDBC with Records
Apply Spring Data JDBC guidelines with Java records.
What is covered in this Skill?
- Records for entity classes
- Repository pattern
- Immutable updates
- Aggregate relationships
- Custom queries
- Transaction management
- Single query loading (N+1 avoidance)
Scope: Apply recommendations based on the reference rules and good/bad code examples.
Constraints
Before applying any Spring Data JDBC changes, ensure the project compiles. If compilation fails, stop immediately. After applying improvements, run full verification.
- MANDATORY: Run
./mvnw compileormvn compilebefore applying any change - SAFETY: If compilation fails, stop immediately
- VERIFY: Run
./mvnw clean verifyormvn clean verifyafter applying improvements - BEFORE APPLYING: Read the reference for detailed rules and good/bad patterns
When to use this skill
- Review Java code for Spring Data JDBC
- Apply best practices for Spring Data JDBC in Java code
Reference
For detailed guidance, examples, and constraints, see references/312-frameworks-spring-data-jdbc.md.
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.
- 5d ago First seen · 42 lines · 57 tokens per session scan A 2bf61edca504
312-frameworks-spring-data-jdbc is a skill published in the GitHub repository jabrena/cursor-rules-examples (2 stars, last pushed 9d ago), licensed Apache-2.0. It adds 57 tokens to every session and 356 once invoked, about $0.0003 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.
Other skills, from other repositories
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.
projection-patterns
Build read models and projections from event streams. Use when implementing CQRS read sides, building materialized views, or optimizing query performance in event-sourced systems.
mongodb-connection
Optimize MongoDB client connection configuration (pools, timeouts, patterns) for any supported driver language. Use this skill when working/updating/reviewing on functions that instantiate or configure a MongoDB client (eg, when calling connect()), configuring connection pools, troubleshooting connection errors…
mongodb-search-and-ai
Guides MongoDB users through implementing and optimizing Atlas Search (full-text), Vector Search (semantic), and Hybrid Search solutions. Use this skill when users need to build search functionality for text-based queries (autocomplete, fuzzy matching, faceted search), semantic similarity (embeddings, RAG…
solr-schema
To design and audit Solr schemas: field types, analyzers, docValues, solrconfig.
qdrant-scaling-data-volume
Guides Qdrant data volume scaling decisions. Use when someone asks 'data doesn't fit on one node', 'too much data', 'need more storage', 'vertical or horizontal scaling', 'tenant scaling', 'time window rotation', or 'data growth exceeds capacity'.