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 ronmkr/PromptBook --skill kotlin-exposed-patternsgit clone --depth 1 https://github.com/ronmkr/PromptBookWrote 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/ronmkr/promptbook/kotlin-exposed-patterns)<a href="https://agentmods.dev/skills/ronmkr/promptbook/kotlin-exposed-patterns"><img src="https://agentmods.dev/badge/skills/ronmkr/promptbook/kotlin-exposed-patterns/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/ronmkr/promptbook/kotlin-exposed-patterns"><img src="https://agentmods.dev/badge/skills/ronmkr/promptbook/kotlin-exposed-patterns.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 | $0.00036 | $0.05043 |
| Opus 5 | $0.00018 | $0.02521 |
| Sonnet 5 | $0.00007 | $0.01009 |
| Haiku 4.5 | $0.00004 | $0.00504 |
Grade A, and why
kotlin-exposed-patterns 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 6d 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.
This is a copy
92% identical to kotlin-exposed-patterns — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 720 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kotlin Exposed Patterns
Comprehensive patterns for database access with JetBrains Exposed ORM, including DSL queries, DAO, transactions, and production-ready configuration.
When to Use
- Setting up database access with Exposed
- Writing SQL queries using Exposed DSL or DAO
- Configuring connection pooling with HikariCP
- Creating database migrations with Flyway
- Implementing the repository pattern with Exposed
- Handling JSON columns and complex queries
How It Works
Exposed provides two query styles: DSL for direct SQL-like expressions and DAO for entity lifecycle management. HikariCP manages a pool of reusable database connections configured via HikariConfig. Flyway runs versioned SQL migration scripts at startup to keep the schema in sync. All database operations run inside newSuspendedTransaction blocks for coroutine safety and atomicity. The repository pattern wraps Exposed queries behind an interface so business logic stays decoupled from the data layer and tests can use an in-memory H2 database.
Examples
DSL Query
suspend fun findUserById(id: UUID): UserRow? =
newSuspendedTransaction {
UsersTable.selectAll()
.where { UsersTable.id eq id }
.map { it.toUser() }
.singleOrNull()
}
DAO Entity Usage
suspend fun createUser(request: CreateUserRequest): User =
newSuspendedTransaction {
UserEntity.new {
name = request.name
email = request.email
role = request.role
}.toModel()
}
HikariCP Configuration
val hikariConfig = HikariConfig().apply {
driverClassName = config.driver
jdbcUrl = config.url
username = config.username
password = config.password
maximumPoolSize = config.maxPoolSize
isAutoCommit = false
transactionIsolation = "TRANSACTION_READ_COMMITTED"
validate()
}
Database Setup
HikariCP Connection Pooling
// DatabaseFactory.kt
object DatabaseFactory {
fun create(config: DatabaseConfig): Database {
val hikariConfig = HikariConfig().apply {
driverClassName = config.driver
jdbcUrl = config.url
username = config.username
password = config.password
maximumPoolSize = config.maxPoolSize
isAutoCommit = false
transactionIsolation = "TRANSACTION_READ_COMMITTED"
validate()
}
return Database.connect(HikariDataSource(hikariConfig))
}
}
data class DatabaseConfig(
val url: String,
val driver: String = "org.postgresql.Driver",
val username: String = "",
val password: String = "",
val maxPoolSize: Int = 10,
)
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.
- 6d ago First seen · 720 lines · 36 tokens per session scan A 6f3e620eac03
kotlin-exposed-patterns is a skill published in the GitHub repository ronmkr/PromptBook (2 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 36 tokens to every session and 5,043 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to kotlin-exposed-patterns, differing in 2 lines, and is treated as a copy.
Other skills, from other repositories
benchling-integration
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
sqlite-vec-skilld
ALWAYS use when writing code importing "sqlite-vec". Consult for debugging, best practices, or modifying sqlite-vec, sqlite vec.
building-agents
Use when building or restructuring an LLM agent — provider adapter, tool calling, structured output, RAG, agent loop, eval gate, cost routing, tracing, MCP server — model-agnostic across OpenAI/Anthropic/Gemini/OSS so a model swap is a config change. NOT vector-store SQL alone (that is postgresdb) or service…
database
Query and manage SQLite, PostgreSQL, and MySQL databases from the command line. Use when the user asks to run SQL queries, inspect database schemas, create or alter tables, import or export data, manage indexes, analyze query performance with EXPLAIN, back up or restore databases, or perform CRUD operations via…
qdrant
Manage Qdrant vector database via REST API. Use when the user asks to create or delete collections, upsert or search vectors, inspect points, filter by payload fields, manage snapshots, check cluster status, or debug semantic search issues. Covers collection CRUD, point upsert/search/scroll/count, payload indexes…
browser-use
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, or extract information from web pages.