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 agentmods add skills/ccheney/robust-skills/postgres-drizzlenpx skills add ccheney/robust-skills --skill postgres-drizzlegit clone --depth 1 https://github.com/ccheney/robust-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/ccheney/robust-skills/postgres-drizzle)<a href="https://agentmods.dev/skills/ccheney/robust-skills/postgres-drizzle"><img src="https://agentmods.dev/badge/skills/ccheney/robust-skills/postgres-drizzle.svg" alt="Measured on agentmods" 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 | $0.00119 | $0.02455 |
| Opus 5 | $0.00060 | $0.01228 |
| Sonnet 5 | $0.00024 | $0.00491 |
| Haiku 4.5 | $0.00012 | $0.00246 |
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 5d 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 — 226 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 17/18 and Drizzle ORM.
Version Check (do this first)
Drizzle's API changed significantly between the stable 0.x line and v1.0. Check
package.json before writing code, because the two relations APIs are incompatible
and must not be mixed:
drizzle-orm version |
Relations API | Query filters |
|---|---|---|
^0.x (npm latest) |
relations() per table, drizzle(client, { schema }) |
where: eq(users.id, id) |
1.0.0-beta.* / 1.0.0-rc.* |
defineRelations() once for all tables, drizzle(client, { relations }) |
where: { id: userId } (object style) |
The official docs site (orm.drizzle.team) documents v1.0 syntax on its main pages.
This skill defaults to stable 0.x syntax; for v1.0 projects read
references/RELATIONS.md § "Relational Queries v2".
Signals a project is on v1.0: defineRelations imports, object-style where,
r.many.posts() in relations, from/to keys instead of fields/references.
Essential Commands
npx drizzle-kit generate # Generate SQL migration from schema changes
npx drizzle-kit migrate # Apply pending migrations
npx drizzle-kit push # Push schema directly (dev/prototyping only)
npx drizzle-kit pull # Introspect existing DB into a schema file
npx drizzle-kit studio # Open database browser
npx drizzle-kit check # Detect migration collisions (race conditions)
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 with composite PK + relations()
├─ One-to-one (user has profile) → FK with unique constraint
└─ Self-referential (comments) → FK to same table (type the ref as AnyPgColumn)
"Why is my query slow?"
Slow query?
├─ Missing index on WHERE/JOIN columns → Add index (Postgres does NOT auto-index FKs)
├─ Query per row in a loop (N+1) → Use relational queries (`with:`) or a join
├─ Full table scan → EXPLAIN (ANALYZE, BUFFERS), add index
├─ Large OFFSET pagination → Switch to cursor/keyset pagination
└─ Connection overhead per request → Pool connections (pg Pool / postgres.js / PgBouncer)
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.
- 5d ago First seen · 226 lines · 119 tokens per session scan A b567b8eed243
postgres-drizzle is a skill published in the GitHub repository ccheney/robust-skills (57 stars, last pushed 8d ago), licensed MIT. It adds 119 tokens to every session and 2,455 once invoked, about $0.0006 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 2026-08-30.
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