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 bobmatnyc/claude-mpm-skills --skill kyselygit clone --depth 1 https://github.com/bobmatnyc/claude-mpm-skillsWrote 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/bobmatnyc/claude-mpm-skills/kysely)<a href="https://agentmods.dev/skills/bobmatnyc/claude-mpm-skills/kysely"><img src="https://agentmods.dev/badge/skills/bobmatnyc/claude-mpm-skills/kysely/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/bobmatnyc/claude-mpm-skills/kysely"><img src="https://agentmods.dev/badge/skills/bobmatnyc/claude-mpm-skills/kysely.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00028 | $0.06540 |
| Opus 5 | $0.00014 | $0.03270 |
| Sonnet 5 | $0.00006 | $0.01308 |
| Haiku 4.5 | $0.00003 | $0.00654 |
Grade A, and why
kysely 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 9d 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 — 1,015 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kysely - Type-Safe SQL Query Builder
Overview
Kysely is a type-safe TypeScript SQL query builder that provides end-to-end type safety from database schema to query results. Unlike ORMs, it generates plain SQL and gives you full control while maintaining perfect TypeScript inference.
Key Features:
- Complete type inference (schema → queries → results)
- Zero runtime overhead (compiles to SQL)
- Database-agnostic (PostgreSQL, MySQL, SQLite, MSSQL)
- Migration system included
- Plugin ecosystem (CTEs, JSON, geospatial)
- Raw SQL integration when needed
Installation:
npm install kysely
# Database driver (choose one)
npm install pg # PostgreSQL
npm install mysql2 # MySQL
npm install better-sqlite3 # SQLite
Quick Start
1. Define Database Schema Types
import { Generated, Selectable, Insertable, Updateable } from 'kysely';
// Table interface (all columns)
interface UserTable {
id: Generated<number>;
email: string;
name: string | null;
created_at: Generated<Date>;
updated_at: Date;
}
interface PostTable {
id: Generated<number>;
user_id: number;
title: string;
content: string;
published: Generated<boolean>;
created_at: Generated<Date>;
}
// Database interface
interface Database {
users: UserTable;
posts: PostTable;
}
// Type-safe query result types
type User = Selectable<UserTable>;
type NewUser = Insertable<UserTable>;
type UserUpdate = Updateable<UserTable>;
2. Create Database Instance
import { Kysely, PostgresDialect } from 'kysely';
import { Pool } from 'pg';
const db = new Kysely<Database>({
dialect: new PostgresDialect({
pool: new Pool({
host: process.env.DB_HOST,
database: process.env.DB_NAME,
user: process.env.DB_USER,
password: process.env.DB_PASSWORD,
max: 10,
}),
}),
});
3. Type-Safe Queries
// SELECT with full type inference
const users = await db
.selectFrom('users')
.select(['id', 'email', 'name'])
.where('created_at', '>', new Date('2024-01-01'))
.execute();
// Type: Array<{ id: number; email: string; name: string | null }>
// INSERT with type checking
const newUser: NewUser = {
email: '[email protected]',
name: 'Alice',
updated_at: new Date(),
};
const inserted = await db
.insertInto('users')
.values(newUser)
.returningAll()
.executeTakeFirstOrThrow();
// Type: User
// UPDATE
await db
.updateTable('users')
.set({ name: 'Alice Updated', updated_at: new Date() })
.where('id', '=', 1)
.execute();
// DELETE
await db
.deleteFrom('users')
.where('email', 'like', '%@spam.com')
.execute();
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.
- 9d ago First seen · 1,015 lines · 28 tokens per session scan A 3447c23fe6e2
kysely is a skill published in the GitHub repository bobmatnyc/claude-mpm-skills (75 stars, last pushed 1mo ago), licensed MIT. It adds 28 tokens to every session and 6,540 once invoked, about $0.0001 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 2026-09-03.
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