Database schema validation, data integrity testing, migration testing, transaction isolation, and query performance. Use when testing data persistence, ensuring referential integrity, or validating database migrations.
npx skills add https://github.com/Microck/ordinary-claude-skills --skill database-testing
Data is your most valuable asset. Database bugs cause data loss/corruption.
Database testing ensures schema correctness, data integrity, transaction safety, and query performance. Critical for preventing catastrophic data issues.
Validate database structure:
-- Test schema exists
SELECT table_name FROM information_schema.tables
WHERE table_schema = 'public' AND table_name = 'users';
-- Test column types
SELECT column_name, data_type
FROM information_schema.columns
WHERE table_name = 'users';
-- Test constraints
SELECT constraint_name, constraint_type
FROM information_schema.table_constraints
WHERE table_name = 'users';
Test with code:
test('users table has correct schema', async () => {
const schema = await db.raw(`
SELECT column_name, data_type, is_nullable
FROM information_schema.columns
WHERE table_name = 'users'
`);
expect(schema).toContainEqual({
column_name: 'id',
data_type: 'integer',
is_nullable: 'NO'
});
expect(schema).toContainEqual({
column_name: 'email',
data_type: 'character varying',
is_nullable: 'NO'
});
});
Test constraints:
test('email must be unique', async () => {
await db.users.create({ email: '[email protected]' });
// Duplicate should fail
await expect(
db.users.create({ email: '[email protected]' })
).rejects.toThrow('unique constraint violation');
});
test('foreign key prevents orphaned records', async () => {
const user = await db.users.create({ email: '[email protected]' });
await db.orders.create({ userId: user.id, total: 100 });
// Cannot delete user with orders
await expect(
db.users.delete({ id: user.id })
).rejects.toThrow('foreign key constraint');
});
test('check constraint validates data', async () => {
// Age must be ≥ 18
await expect(
db.users.create({ email: '[email protected]', age: 17 })
).rejects.toThrow('check constraint violation');
});
Test database migrations:
import { migrate, rollback } from './migrations';
test('migration adds users table', async () => {
// Start fresh
await rollback();
// Run migration
await migrate();
// Verify table exists
const tables = await db.raw(`
SELECT table_name FROM information_schema.tables
WHERE table_schema = 'public'
`);
expect(tables.map(t => t.table_name)).toContain('users');
});
test('migration is reversible', async () => {
await migrate();
await rollback();
// Table should be gone
const tables = await db.raw(`
SELECT table_name FROM information_schema.tables
WHERE table_schema = 'public'
`);
expect(tables.map(t => t.table_name)).not.toContain('users');
});
test('migration preserves existing data', async () => {
// Create data before migration
await db.users.create({ email: '[email protected]' });
// Run migration that adds 'age' column
await migrate('add-age-column');
// Data should still exist
const user = await db.users.findOne({ email: '[email protected]' });
expect(user).toBeDefined();
expect(user.age).toBeNull(); // New column, null default
});
Test ACID properties:
test('transaction rolls back on error', async () => {
const initialCount = await db.users.count();
try {
await db.transaction(async (trx) => {
await trx('users').insert({ email: '[email protected]' });
await trx('users').insert({ email: '[email protected]' });
// Force error
throw new Error('Rollback test');
});
} catch (error) {
// Expected
}
// No users should be inserted
const finalCount = await db.users.count();
expect(finalCount).toBe(initialCount);
});
test('concurrent transactions are isolated', async () => {
const user = await db.users.create({ email: '[email protected]', balance: 100 });
// Two concurrent withdrawals
const withdraw1 = db.transaction(async (trx) => {
const current = await trx('users').where({ id: user.id }).first();
await sleep(100); // Simulate delay
await trx('users').where({ id: user.id }).update({
balance: current.balance - 50
});
});
const withdraw2 = db.transaction(async (trx) => {
const current = await trx('users').where({ id: user.id }).first();
await sleep(100);
await trx('users').where({ id: user.id }).update({
balance: current.balance - 50
});
});
await Promise.all([withdraw1, withdraw2]);
// With proper isolation, balance should be 0, not 50
const final = await db.users.findOne({ id: user.id });
expect(final.balance).toBe(0); // Not 50!
});
Test slow queries:
test('user lookup by email is fast', async () => {
// Seed 10,000 users
await seedUsers(10000);
const start = Date.now();
await db.users.findOne({ email: '[email protected]' });
const duration = Date.now() - start;
// Should use index on email
expect(duration).toBeLessThan(10); // < 10ms
});
test('EXPLAIN shows index usage', async () => {
const explain = await db.raw(`
EXPLAIN SELECT * FROM users WHERE email = '[email protected]'
`);
// Should show index scan, not sequential scan
const plan = explain.rows[0]['QUERY PLAN'];
expect(plan).toContain('Index Scan');
expect(plan).not.toContain('Seq Scan');
});
Database bugs are catastrophic.
Test migrations before production:
With Agents: qe-test-data-architect generates realistic test data with referential integrity. qe-test-executor runs DB migration tests automatically in CI/CD.
LLM-driven hypothesis generation/testing on tabular data. Three methods: HypoGeniC (data-driven), HypoRefine (literature+data), Union. Iterative refinement, Redis caching, multi-hypothesis inference. Manual: hypothesis-generation; ideation: scientific-brainstorming.
This skill should be used when the user asks to \"automate SQL injection testing,\" \"enumerate database structure,\" \"extract database credentials using sqlmap,\" \"dump tables and columns...
Optimizes application performance across frontend, backend, queries, and databases. Use when performance requirements exist, when you suspect performance regressions, when Core Web Vitals or load times need improvement, when N+1 query patterns need fixing, or when profiling reveals bottlenecks.
Bisect a ClickHouse regression using pre-built master binaries from CI. Use when the user wants to find the commit that introduced a bug.
QA an analysis before sharing -- methodology, accuracy, and bias checks. Use when reviewing an analysis before a stakeholder presentation, spot-checking calculations and aggregation logic, verifying a SQL query's results look right, or assessing whether conclusions are actually supported by the data.
End-to-end smoke test for the public Errors HTTP API (error groups). Seeds failed runs into ClickHouse so the error materialized views populate, then drives the real endpoints against the running webapp — list (with filters + pagination), retrieve, resolve/ignore/unresolve, the `filter[error]` runs filter, user attribution via the `trigger.dev mint-token` -> JWT exchange, and the 401/403/404 negatives. Use for "smoke test the errors API", "test the errors API e2e", "prove the errors endpoints work", or to re-verify after changes.
Strix SQL 注入测试手册,覆盖 union、blind、error-based 与 ORM 绕过技巧;触发名:strix-sql-injection
> Pull and interpret production experiment query-performance data from the staff-only slowest experiment queries, precompute read/build health, and preaggregation cache footprint. and response field semantics (exception codes, exposure paths, precompute skip reasons, job states). Use when investigating slow or failing experiment queries, precompute regressions, 307/159/241 errors, preaggregation table growth, or when asked how experiment query performance or the precompute rollout is doing in production.
Take microck/database-testing from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
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same name cannot sit side by side — one of them will be ignored.