Borrowing it
Nothing to install: this file belongs to motormetrics/motormetrics. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/motormetrics/motormetrics/main/.agents/skills/data-seeding/SKILL.mdgit clone --depth 1 https://github.com/motormetrics/motormetricsWrote 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/motormetrics/motormetrics/data-seeding)<a href="https://agentmods.dev/skills/motormetrics/motormetrics/data-seeding"><img src="https://agentmods.dev/badge/skills/motormetrics/motormetrics/data-seeding.svg" alt="Measured on agentmods" height="20"></a>- 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 | $0.00042 | $0.01159 |
| Opus 5 | $0.00021 | $0.00580 |
| Sonnet 5 | $0.00008 | $0.00232 |
| Haiku 4.5 | $0.00004 | $0.00116 |
Grade A, and why
data-seeding 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 8d 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 — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data Seeding Skill
Seed scripts live in packages/database/src/seed/.
Running Seeds
pnpm -F @sgcarstrends/database db:seed # Run all seeds
pnpm -F @sgcarstrends/database db:seed:cars # Seed specific table
Basic Seed Pattern
// packages/database/src/seed/cars.ts
import { db } from "../index";
import { cars } from "../db/schema";
import { nanoid } from "nanoid";
export async function seedCars() {
console.log("Seeding cars...");
const carData = [
{ id: nanoid(), make: "Toyota", model: "Camry", vehicleClass: "Sedan", fuelType: "Petrol", month: "2024-01", number: 150 },
{ id: nanoid(), make: "Honda", model: "Civic", vehicleClass: "Sedan", fuelType: "Petrol", month: "2024-01", number: 120 },
];
await db.insert(cars).values(carData);
console.log(`Seeded ${carData.length} cars`);
}
Main Seed Runner
// packages/database/src/seed/index.ts
export async function seed() {
console.log("Starting database seed...");
await clearDatabase(); // Optional: clear existing data
await seedCars();
await seedCOE();
await seedPosts();
console.log("Database seeded successfully!");
}
async function clearDatabase() {
// Delete in reverse order of dependencies
await db.delete(posts);
await db.delete(coe);
await db.delete(cars);
}
Seed with Faker.js
pnpm -F @sgcarstrends/database add -D @faker-js/faker
import { faker } from "@faker-js/faker";
export async function seedRealisticCars(count = 100) {
const makes = ["Toyota", "Honda", "BMW", "Mercedes"];
const carData = Array.from({ length: count }, () => ({
id: nanoid(),
make: faker.helpers.arrayElement(makes),
model: faker.vehicle.model(),
month: faker.date.between({ from: "2020-01-01", to: "2024-12-31" }).toISOString().slice(0, 7),
number: faker.number.int({ min: 10, max: 500 }),
}));
// Batch insert for performance
const batchSize = 50;
for (let i = 0; i < carData.length; i += batchSize) {
await db.insert(cars).values(carData.slice(i, i + batchSize));
}
}
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.
- 8d ago First seen · 168 lines · 42 tokens per session scan A 8164c782ed82
data-seeding is a skill published in the GitHub repository motormetrics/motormetrics (22 stars, last pushed 2d ago), licensed MIT. It adds 42 tokens to every session and 1,159 once invoked, about $0.0002 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
server-side-calls
Call tRPC procedures directly from server code using t.createCallerFactory() and router.createCaller(context) for integration testing, internal server logic, and custom API endpoints. Catch TRPCError and extract HTTP status with getHTTPStatusCodeFromError(). Error handling via onError option.
testing-integration
Integration and contract testing patterns — API endpoint tests, component integration, database testing, Pact contract verification, property-based testing, and Zod schema validation. Use when testing API boundaries, verifying contracts, or validating cross-service integration.
db-infra-mocks
Propose minimal seams and local substitutes so tests run without real RDBMS/Redis/Mongo infrastructure.
hono-validation
Hono request validation with Zod, TypeBox, Valibot - type-safe input validation for JSON, forms, query params, and headers.
gherkin-specification
Elicit or revise software behavior, maintain a recoverable behavior workpiece, and author or review honest Gherkin feature documents. Use for a behavior-specification interview, Gherkin document, executable-specification draft, or review of any of them.
prisma
Skill "prisma" from ashish7802/awesome-api-skills, covering prisma skill, ecosystem graph preview, recommended next skills, quick start and production patterns.