drizzle
drizzle is a Databases & SQL skill for AI agents, published by remorses in the opencode-config repository on GitHub. Skillspace rates drizzle D (60/100) and the safety scan flagged it for review; the rating is based on static analysis only.
Flagged for review. Read the source before running it.
Drizzle ORM conventions and best practices for TypeScript projects. Covers namespace imports, Prisma-like query API, object-style where filters, schema design (ULIDs, cascade deletes, indexes, enums over bools), Zod schema generation, type inference, transactions, migrations, and driver setup for Cloudflare Durable Objects (via sqlite-proxy), libSQL/Turso, Postgres via Hyperdrive, and Cloudflare D1. ALWAYS load this skill when a repo uses drizzle-orm.
- Grade
- D
- Quality
- 60 / 100
- Safety
- Needs review
- GitHub stars
- 40
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 63 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Medium-risk patterns
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- reads environment variables
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.