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 jkomyno/.dotfiles --skill postgres-drizzlegit clone --depth 1 https://github.com/jkomyno/.dotfilesWrote 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/jkomyno/.dotfiles/postgres-drizzle)<a href="https://agentmods.dev/skills/jkomyno/.dotfiles/postgres-drizzle"><img src="https://agentmods.dev/badge/skills/jkomyno/.dotfiles/postgres-drizzle/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/jkomyno/.dotfiles/postgres-drizzle"><img src="https://agentmods.dev/badge/skills/jkomyno/.dotfiles/postgres-drizzle.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 | $0.00034 | $0.01449 |
| Opus 5 | $0.00017 | $0.00724 |
| Sonnet 5 | $0.00007 | $0.00290 |
| Haiku 4.5 | $0.00003 | $0.00145 |
Grade A, and why
postgres-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 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.
This is a copy
86% identical to postgres-drizzle — 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 — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PostgreSQL + Drizzle ORM
Type-safe database applications with PostgreSQL 18 and Drizzle ORM.
Essential Commands
npx drizzle-kit generate # Generate migration from schema changes
npx drizzle-kit migrate # Apply pending migrations
npx drizzle-kit push # Push schema directly (dev only!)
npx drizzle-kit studio # Open database browser
Quick Decision Trees
"How do I model this relationship?"
Relationship type?
├─ One-to-many (user has posts) → FK on "many" side + relations()
├─ Many-to-many (posts have tags) → Junction table + relations()
├─ One-to-one (user has profile) → FK with unique constraint
└─ Self-referential (comments) → FK to same table
"Why is my query slow?"
Slow query?
├─ Missing index on WHERE/JOIN columns → Add index
├─ N+1 queries in loop → Use relational queries API
├─ Full table scan → EXPLAIN ANALYZE, add index
├─ Large result set → Add pagination (limit/offset)
└─ Connection overhead → Enable connection pooling
"Which drizzle-kit command?"
What do I need?
├─ Schema changed, need SQL migration → drizzle-kit generate
├─ Apply migrations to database → drizzle-kit migrate
├─ Quick dev iteration (no migration) → drizzle-kit push
└─ Browse/edit data visually → drizzle-kit studio
Directory Structure
src/db/
├── schema/
│ ├── index.ts # Re-export all tables
│ ├── users.ts # Table + relations
│ └── posts.ts # Table + relations
├── db.ts # Connection with pooling
└── migrate.ts # Migration runner
drizzle/
└── migrations/ # Generated SQL files
drizzle.config.ts # drizzle-kit config
Schema Patterns
Basic Table with Timestamps
export const users = pgTable('users', {
id: uuid('id').primaryKey().defaultRandom(),
email: varchar('email', { length: 255 }).notNull().unique(),
createdAt: timestamp('created_at').defaultNow().notNull(),
updatedAt: timestamp('updated_at').defaultNow().notNull(),
});
What ships with it
8 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.
- 9d ago First seen · 180 lines · 34 tokens per session scan A 8e62e0d79d63
postgres-drizzle is a skill published in the GitHub repository jkomyno/.dotfiles (5 stars, last pushed 4d ago), licensed MIT. It adds 34 tokens to every session and 1,449 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to postgres-drizzle, differing in 2 lines, and is treated as a copy.
Other skills, from other repositories
alloydb-basics
Manages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB Model Context Protocol (MCP) tools for automated database operations. Use when creating, configuring, or administering AlloyDB databases. Do NOT use for general PostgreSQL instances (e.g. Cloud SQL) or other GCP databases.
postgresql-table-design
Use this skill when designing or reviewing a PostgreSQL-specific schema. Covers best-practices, data types, indexing, constraints, performance patterns, and advanced features.
db-repair
Auto-fix gbrain's Postgres access so the brain stays available. When any gbrain command or MCP tool result carries a GBRAINDBACCESS marker (or an operator reports the brain database is down), run the hardcoded gbrain db-repair ladder: diagnose, apply the safe tier, verify. The action is ALWAYS the hardcoded command …
dsql
Build with Aurora DSQL — manage schemas, execute queries, handle migrations, diagnose query plans, diagnose cluster performance, load data, and develop applications with a serverless, distributed SQL database. Covers IAM auth, multi-tenant patterns, MySQL-to-DSQL and PostgreSQL-to-DSQL schema conversion, foreign key…
volcengine-rds-postgresql
A tool for operating PostgreSQL databases hosted by Volcano Engine's managed database service. PostgreSQL is a relational database used to store structured application data.
polar-local-environment
This skill should be used when setting up or managing Polar local development environment with Docker.