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 rules/e-gov/cursor-prompts/jooq-database-accessgit clone --depth 1 https://github.com/e-gov/cursor-promptsWrote 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/rules/e-gov/cursor-prompts/jooq-database-access)<a href="https://agentmods.dev/rules/e-gov/cursor-prompts/jooq-database-access"><img src="https://agentmods.dev/badge/rules/e-gov/cursor-prompts/jooq-database-access.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 | $0.01615 | $0.01615 |
| Opus 5 | $0.00807 | $0.00807 |
| Sonnet 5 | $0.00323 | $0.00323 |
| Haiku 4.5 | $0.00161 | $0.00161 |
Grade A, and why
jooq-database-access 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 — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
jOOQ DSL and Database Access Conventions
Context
- Apply when writing or modifying database access logic using jOOQ, typically within service or repository classes.
- Focuses on consistent use of the jOOQ DSL and mapping.
- Retry Logic: Retry mechanisms are framework-specific. Refer to:
- Spring Boot:
mdc:rules/java-spring-boot/spring-retry-conventions.mdc - Micronaut:
mdc:rules/java-micronaut/micronaut-retry-conventions.mdc
- Spring Boot:
- Transaction Management: Managed by the specific framework (Spring/Micronaut). Refer to framework convention rules.
- Auditing: For conventions on using the
AuditLogger, seemdc:rules/java-common/audit-logging.mdc.
Requirements
- Database Interaction: Use jOOQ (
DSLContext) injected via constructor for all database operations. Avoid Spring Data JPA repositories or raw JDBC. - Type-Safe DSL: ALWAYS use the jOOQ type-safe DSL (generated tables/fields like
BOOK.TITLE) over constructing queries with raw SQL strings. - Mapping: Implement clear logic (e.g., dedicated private methods like
mapToXyz) to map jOOQRecordobjects to application DTOs/models (BookResponse, etc.). - Connection Handling: Rely on the framework's transaction management (Spring/Micronaut) and jOOQ integration for connection handling; do not manage connections manually.
Examples
// ... inside a service method (retry/transaction/audit handled by framework/other rules) ... public List findCheapBooks() { // The actual DB call might be wrapped by retry logic elsewhere (see specific retry rules) List cheapBooks = dsl.selectFrom(BOOK) .where(BOOK.PRICE.lt(BigDecimal.TEN)) // Type-safe condition .orderBy(BOOK.TITLE.asc()) .fetchStream() .map(this::mapToBookResponse) // Mapping function .toList();
// Auditing is handled separately (see mdc:rules/java-common/audit-logging.mdc)
// if (!cheapBooks.isEmpty()) { AuditLogger.logBatchOperation(...); }
return cheapBooks;
}
private BookResponse mapToBookResponse(BookRecord record) { // ... mapping implementation ... }
</example>
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 · 154 lines · 1,615 tokens per session scan A e3c97186f15b
jooq-database-access is a cursor rule published in the GitHub repository e-gov/cursor-prompts (34 stars, last pushed 4mo ago), licensed MIT. It adds 1,615 tokens to every session, about $0.0081 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 2026-08-30.
Other cursor rules, from other repositories
com-example-database-DatabaseConnector
AI rules for com.example.database.DatabaseConnector.
com-example-database-UserEntity
AI rules for com.example.database.UserEntity.
303-frameworks-spring-data-jdbc
Spring Data JDBC provides a simpler alternative to JPA, offering direct SQL control while maintaining Spring's repository abstractions. When combined with Java records, it creates clean, immutable data models perfect for modern Java applications.
jdbc
PURPOSE: JDBC driver patterns for Java applications connecting to Snowflake.
entity-class-conventions
description: Sets the standards for entity class design including annotations, ID generation strategies, and relationship configurations for database interaction. globs: /src/main/java/com/example/entities/.java.
entity-class-conventions
Sets the standards for entity class design including annotations, ID generation strategies, and relationship configurations for database interaction.