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 dallay/agents-skills --skill drizzle-ormgit clone --depth 1 https://github.com/dallay/agents-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/dallay/agents-skills/drizzle-orm)<a href="https://agentmods.dev/skills/dallay/agents-skills/drizzle-orm"><img src="https://agentmods.dev/badge/skills/dallay/agents-skills/drizzle-orm/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/dallay/agents-skills/drizzle-orm"><img src="https://agentmods.dev/badge/skills/dallay/agents-skills/drizzle-orm.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 | $0.00029 | $0.02743 |
| Opus 5.5 | $0.00012 | $0.01097 |
| Sonnet 5.5 | $0.00006 | $0.00549 |
| Haiku 4.5 | $0.00003 | $0.00274 |
Grade A, and why
drizzle-orm 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 1mo 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 — 399 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Drizzle ORM
Modern TypeScript-first ORM with zero dependencies, compile-time type safety, and SQL-like syntax. Optimized for edge runtimes and serverless environments.
Quick Start
Installation
# Core ORM
npm install drizzle-orm
# Database driver (choose one)
npm install pg # PostgreSQL
npm install mysql2 # MySQL
npm install better-sqlite3 # SQLite
# Drizzle Kit (migrations)
npm install -D [email protected]
Basic Setup
// db/schema.ts
import { pgTable, serial, text, timestamp } from 'drizzle-orm/pg-core';
export const users = pgTable('users', {
id: serial('id').primaryKey(),
email: text('email').notNull().unique(),
name: text('name').notNull(),
createdAt: timestamp('created_at').defaultNow(),
});
// db/client.ts
import { drizzle } from 'drizzle-orm/node-postgres';
import { Pool } from 'pg';
import * as schema from './schema';
const pool = new Pool({ connectionString: process.env.DATABASE_URL });
export const db = drizzle(pool, { schema });
First Query
import { db } from './db/client';
import { users } from './db/schema';
import { eq } from 'drizzle-orm';
// Insert
const newUser = await db.insert(users).values({
email: '[email protected]',
name: 'John Doe',
}).returning();
// Select
const allUsers = await db.select().from(users);
// Where
const user = await db.select().from(users).where(eq(users.id, 1));
// Update
await db.update(users).set({ name: 'Jane Doe' }).where(eq(users.id, 1));
// Delete
await db.delete(users).where(eq(users.id, 1));
Schema Definition
Column Types Reference
| PostgreSQL | MySQL | SQLite | TypeScript |
|---|---|---|---|
serial() |
serial() |
integer() |
number |
text() |
text() |
text() |
string |
integer() |
int() |
integer() |
number |
boolean() |
boolean() |
integer() |
boolean |
timestamp() |
datetime() |
integer() |
Date |
json() |
json() |
text() |
unknown |
uuid() |
varchar(36) |
text() |
string |
What ships with it
4 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.
- 1mo ago First seen · 399 lines · 29 tokens per session scan A d13bb172f931
drizzle-orm is a skill published in the GitHub repository dallay/agents-skills (2 stars, last pushed 1mo ago), licensed MIT. It adds 29 tokens to every session and 2,743 once invoked, about $0.0001 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 2026-08-31.
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