drizzle-queries

Guidelines for writing database queries with Drizzle ORM, a TypeScript library for accessing databases. They cover queries and data changes that follow row-level security rules, which limit what each user can access.

In plain words
What is it for?
Writing Drizzle queries and mutations, reading records, inserting data, and returning changed records while using Supabase row-level security.
Why use it?
They reduce inconsistent query code and avoid adding unnecessary manual authentication checks. They also help keep database access aligned with the application's security policies.

Cursor rule

Install

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.

agentmods
npx agentmods add rules/squirrelogic/cursor-rules/drizzle-queries
Clone the repo
git clone --depth 1 https://github.com/squirrelogic/cursor-rules
Per session 0 Nothing until a file matches its globs; then the whole rule loads.
When invoked 1,384 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.01384
Opus 5 $0.00000 $0.00692
Sonnet 5 $0.00000 $0.00277
Haiku 4.5 $0.00000 $0.00138

Measured 2d ago against content hash 3b0f901708ef, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

drizzle-queries 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 2d 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.

supabase/drizzle-queries.mdc · 197 lines

How it starts

The opening of the file, as written. The whole thing — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Drizzle Query Patterns

Guidelines for writing consistent and secure Drizzle ORM queries with RLS.

Overview

This rule defines patterns for writing Drizzle ORM queries and mutations that respect Row Level Security (RLS) policies.

actions:

  • type: suggest message: | When writing Drizzle queries:

    1. Query Structure:
    // ✅ DO: Use simple, direct queries with RLS
    export async function getItems() {
      const db = await createDrizzleSupabaseClient()
      const result = await db.rls(async (tx) => {
        return await tx.select().from(items)
      })
      return result
    }
    
    // ❌ DON'T: Add unnecessary complexity or manual auth checks
    export async function getItems() {
      const supabase = await createClient() // ❌ Don't use Supabase client directly
      const { data: { user } } = await supabase.auth.getUser()
      if (!user) throw new Error('Not authenticated')
      // ... more unnecessary checks
    }
    
    1. Mutations:
    // ✅ DO: Return the mutated record when possible
    export async function createItem(data: NewItem) {
      const db = await createDrizzleSupabaseClient()
      const result = await db.rls(async (tx) => {
        const [item] = await tx.insert(items)
          .values(data)
          .returning()
        return item
      })
      return result
    }
    
    // ❌ DON'T: Return void or boolean when you can return the record
    export async function createItem(data: NewItem) {
      const db = await createDrizzleSupabaseClient()
      await db.rls(async (tx) => {
        await tx.insert(items).values(data)
      })
      return true // ❌ Less useful than returning the record
    }
    

Read the full file on GitHub · 197 lines

Changes

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.

  1. 2d ago First seen · 197 lines · 0 tokens per session scan A 3b0f901708ef

Subscribe to this mod's changes

drizzle-queries is a cursor rule published in the GitHub repository squirrelogic/cursor-rules (20 stars, last pushed 1y ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,384 tokens. 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.