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 jezweb/claude-skills --skill d1-drizzle-schemagit clone --depth 1 https://github.com/jezweb/claude-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/jezweb/claude-skills/d1-drizzle-schema)<a href="https://agentmods.dev/skills/jezweb/claude-skills/d1-drizzle-schema"><img src="https://agentmods.dev/badge/skills/jezweb/claude-skills/d1-drizzle-schema/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/jezweb/claude-skills/d1-drizzle-schema"><img src="https://agentmods.dev/badge/skills/jezweb/claude-skills/d1-drizzle-schema.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00090 | $0.01344 |
| Opus 5 | $0.00045 | $0.00672 |
| Sonnet 5 | $0.00018 | $0.00269 |
| Haiku 4.5 | $0.00009 | $0.00134 |
Grade A, and why
d1-drizzle-schema 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 12d 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 — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
D1 Drizzle Schema
Generate correct Drizzle ORM schemas for Cloudflare D1. D1 is SQLite-based but has important differences that cause subtle bugs if you use standard SQLite patterns. This skill produces schemas that work correctly with D1's constraints.
Critical D1 Differences
| Feature | Standard SQLite | D1 |
|---|---|---|
| Foreign keys | OFF by default | Always ON (cannot disable) |
| Boolean type | No | No — use integer({ mode: 'boolean' }) |
| Datetime type | No | No — use integer({ mode: 'timestamp' }) |
| Max bound params | ~999 | 100 (affects bulk inserts) |
| JSON support | Extension | Always available (json_extract, ->, ->>) |
| Concurrency | Multi-writer | Single-threaded (one query at a time) |
Workflow
Step 1: Describe the Data Model
Gather requirements: what tables, what relationships, what needs indexing. If working from an existing description, infer the schema directly.
Step 2: Generate Drizzle Schema
Create schema files using D1-correct column patterns:
import { sqliteTable, text, integer, real, index, uniqueIndex } from 'drizzle-orm/sqlite-core'
export const users = sqliteTable('users', {
// UUID primary key (preferred for D1)
id: text('id').primaryKey().$defaultFn(() => crypto.randomUUID()),
// Text fields
name: text('name').notNull(),
email: text('email').notNull(),
// Enum (stored as TEXT, validated at schema level)
role: text('role', { enum: ['admin', 'editor', 'viewer'] }).notNull().default('viewer'),
// Boolean (D1 has no BOOL — stored as INTEGER 0/1)
emailVerified: integer('email_verified', { mode: 'boolean' }).notNull().default(false),
// Timestamp (D1 has no DATETIME — stored as unix seconds)
createdAt: integer('created_at', { mode: 'timestamp' }).notNull().$defaultFn(() => new Date()),
updatedAt: integer('updated_at', { mode: 'timestamp' }).notNull().$defaultFn(() => new Date()),
// Typed JSON (stored as TEXT, Drizzle auto-serialises)
preferences: text('preferences', { mode: 'json' }).$type<UserPreferences>(),
// Foreign key (always enforced in D1)
organisationId: text('organisation_id').references(() => organisations.id, { onDelete: 'cascade' }),
}, (table) => ({
emailIdx: uniqueIndex('users_email_idx').on(table.email),
orgIdx: index('users_org_idx').on(table.organisationId),
}))
What ships with it
4 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.
- 12d ago First seen · 153 lines · 90 tokens per session scan A 23bd31f1e12f
d1-drizzle-schema is a skill published in the GitHub repository jezweb/claude-skills (1,001 stars, last pushed 2mo ago), licensed MIT. It adds 90 tokens to every session and 1,344 once invoked, about $0.0005 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.
Other skills, from other repositories
ecto-patterns
Ecto patterns — schemas, changesets, queries, migrations, Multi, associations, preloads, upserts. Use when editing Repo calls, Ecto.Query, or schema fields. Skip for Ash.
phoenix-contexts
Phoenix context design — creating/splitting contexts, Scope (1.8+), Ecto.Multi, PubSub, routers, plugs, controllers. Use when editing contexts, routers, or designing boundaries.
ecto-n1-check
Detect N+1 query anti-patterns specifically — Repo calls inside Enum/for loops, missing preloads on associations. Use when N+1 is explicitly suspected, NOT for unrelated Ecto questions or wider database performance.
ecto-constraint-debug
Debug Ecto constraint violations - trace triggers, check migrations, find duplicate data. Use when seeing uniqueconstraint, foreignkeyconstraint, or checkconstraint errors.
sql-query-builder
Build SQL queries for construction databases. Generate optimized SQL queries for construction data retrieval.
cwicr-data-loader
Load and parse DDC CWICR construction cost database from multiple formats: Parquet, Excel, CSV, Qdrant snapshots. Foundation for all CWICR operations.