drizzle

Project-specific guidance for Drizzle ORM, a tool for defining database tables and writing database queries in code. It applies only to the dashboard agent's conversation database, which is separate from the application's main database and ClickHouse.

In plain words
What is it for?
Use it when changing the dashboard agent's database tables, queries, or migrations. A monorepo is a repository containing multiple related packages; here, the guidance identifies which package uses Drizzle and which uses Prisma instead.
Why use it?
It prevents developers from mixing database systems, creating unsupported links between separate databases, or bypassing tenant-level data isolation. It also records the repository's expected schema, driver, migration, and version conventions.

Skill for Claude CodeCodex

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 skills/triggerdotdev/trigger.dev/drizzle
Any agent
npx skills add triggerdotdev/trigger.dev --skill drizzle
Clone the repo
git clone --depth 1 https://github.com/triggerdotdev/trigger.dev

Made for: Claude Code, Codex.

Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,807 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 $0.02807
Opus 5 $0.00000 $0.01404
Sonnet 5 $0.00000 $0.00561
Haiku 4.5 $0.00000 $0.00281

Measured yesterday against content hash d90f2971f953, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

drizzle 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 yesterday.

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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.claude/skills/drizzle/SKILL.md · 192 lines

How it starts

The opening of the file, as written. The whole thing — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Drizzle ORM (this repo)

Drizzle is used in exactly one place: internal-packages/dashboard-agent-db (@internal/dashboard-agent-db), the in-dashboard agent's conversation store. Everything else in the monorepo is Prisma (@trigger.dev/database). Keep them separate.

Pinned versions: drizzle-orm ^0.45, drizzle-kit ^0.31 (dev), postgres ^3.4 (postgres.js driver). drizzle-orm and drizzle-kit are intentionally on different version lines — 0.31.x is the correct companion for 0.45.x, there is no peer dependency between them.

Critical rules

  1. Drizzle is only the agent's own datastore. The agent (and its task bundle) must have no access to the main Prisma database or ClickHouse. Never import the Prisma client into the agent task or into @internal/dashboard-agent-db. Main data is reached via the API, not Drizzle.
  2. Foreign-key-free. In cloud this DB is a separate PlanetScale database, so it can't FK into the main DB. Reference main entities (organizationId, userId, …) by id only — never .references(). Joins happen in app code; tenant scoping is enforced in the query layer.
  3. One dedicated Postgres schema. All tables live under pgSchema("trigger_dashboard_agent") so they're schema-qualified and isolated from Prisma's public schema (this is what makes the OSS single-database fallback safe).
  4. Pooler-safe connections. Connections go through a transaction-mode pooler (PlanetScale / PgBouncer-style), so postgres.js must run with prepare: false — prepared statements don't survive a connection being handed to another client between checkouts.
  5. Node16 module resolution. Relative imports need explicit .js extensions (import { chats } from "./schema.js"), even though the source is .ts.
  6. Scope every user query. All queries that touch user data go through src/queries.ts and are scoped by organizationId / userId, so callers can't forget the where. Don't write ad-hoc cross-tenant queries elsewhere.

Read the full file on GitHub · 192 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. yesterday First seen · 192 lines · 0 tokens per session scan A d90f2971f953

Subscribe to this mod's changes

drizzle is a skill published in the GitHub repository triggerdotdev/trigger.dev (16,165 stars, last pushed 2d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 2,807 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.

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