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Database Testing

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proffesor-for-testing
database-testing

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.

Overview

Publisherproffesor-for-testing
Repositoryagentic-qe
Skill namedatabase-testing
Stars
480
Forks
92
Bundled files
3
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by proffesor-for-testing on GitHub. Read the source before you install it.

Installation

Install the Database Testing AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/proffesor-for-testing/agentic-qe.git /tmp/agentic-qe
mkdir -p .claude/skills
cp -r /tmp/agentic-qe/assets/skills/database-testing .claude/skills/database-testing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Database Testing in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Database Testing on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Database Testing is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Database Testing

<default_to_action> When testing database operations:

  1. VALIDATE schema (tables, columns, constraints exist as expected)
  2. TEST data integrity (unique, foreign key, check constraints)
  3. VERIFY migrations (forward works, rollback works, data preserved)
  4. CHECK transaction isolation (ACID properties, concurrent access)
  5. MEASURE query performance (indexes used, execution time)

Quick DB Testing Checklist:

  • Schema matches specification
  • Unique constraints prevent duplicates
  • Foreign keys prevent orphaned records
  • Migrations are reversible
  • Transactions roll back on error

Critical Success Factors:

  • Database bugs cause data loss/corruption (catastrophic)
  • Test migrations in staging before production
  • Transaction tests catch concurrency bugs </default_to_action>

Quick Reference Card

When to Use

  • New table/schema creation
  • Migration development
  • Data integrity validation
  • Query performance optimization

Database Test Types

TypeFocusWhen
SchemaStructure correctTable creation
IntegrityConstraints workData operations
MigrationUp/down workSchema changes
TransactionACID propertiesConcurrent access
PerformanceQuery speedOptimization

Schema Testing

javascript
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'
  });
});

Data Integrity Testing

javascript
test('email must be unique', async () => {
  await db.users.create({ email: 'test@example.com' });

  await expect(
    db.users.create({ email: 'test@example.com' })
  ).rejects.toThrow('unique constraint violation');
});

test('foreign key prevents orphaned records', async () => {
  const user = await db.users.create({ email: 'test@example.com' });
  await db.orders.create({ userId: user.id, total: 100 });

  await expect(
    db.users.delete({ id: user.id })
  ).rejects.toThrow('foreign key constraint');
});

Migration Testing

javascript
test('migration is reversible', async () => {
  await migrate('add-users-table');

  // Table exists after migration
  const tables = await db.raw(`SELECT table_name FROM information_schema.tables`);
  expect(tables.map(t => t.table_name)).toContain('users');

  await rollback('add-users-table');

  // Table gone after rollback
  const tablesAfter = await db.raw(`SELECT table_name FROM information_schema.tables`);
  expect(tablesAfter.map(t => t.table_name)).not.toContain('users');
});

test('migration preserves existing data', async () => {
  await db.users.create({ email: 'test@example.com' });

  await migrate('add-age-column');

  const user = await db.users.findOne({ email: 'test@example.com' });
  expect(user).toBeDefined();
  expect(user.age).toBeNull(); // New column, null default
});

Transaction Testing

javascript
test('transaction rolls back on error', async () => {
  const initialCount = await db.users.count();

  try {
    await db.transaction(async (trx) => {
      await trx('users').insert({ email: 'user1@example.com' });
      await trx('users').insert({ email: 'user2@example.com' });
      throw new Error('Rollback test');
    });
  } catch (error) { /* Expected */ }

  expect(await db.users.count()).toBe(initialCount);
});

test('concurrent transactions isolated', async () => {
  const user = await db.users.create({ balance: 100 });

  // Two concurrent withdrawals (race condition test)
  await Promise.all([
    db.transaction(async (trx) => {
      const current = await trx('users').where({ id: user.id }).first();
      await trx('users').update({ balance: current.balance - 50 });
    }),
    db.transaction(async (trx) => {
      const current = await trx('users').where({ id: user.id }).first();
      await trx('users').update({ balance: current.balance - 50 });
    })
  ]);

  const final = await db.users.findOne({ id: user.id });
  expect(final.balance).toBe(0); // Proper isolation
});

Agent-Driven Database Testing

typescript
// Generate test data with integrity
await Task("Generate Test Data", {
  schema: 'ecommerce',
  tables: ['users', 'products', 'orders'],
  count: { users: 1000, products: 500, orders: 5000 },
  preserveReferentialIntegrity: true
}, "qe-test-data-architect");

// Test migration safety
await Task("Migration Test", {
  migration: 'add-payment-status-column',
  tests: ['forward', 'rollback', 'data-preservation'],
  environment: 'staging'
}, "qe-test-executor");

Agent Coordination Hints

Memory Namespace

aqe/database-testing/
├── schema-snapshots/*   - Current schema state
├── migrations/*         - Migration test results
├── integrity/*          - Constraint validation
└── performance/*        - Query benchmarks

Fleet Coordination

typescript
const dbFleet = await FleetManager.coordinate({
  strategy: 'database-testing',
  agents: [
    'qe-test-data-architect',  // Generate test data
    'qe-test-executor',        // Run DB tests
    'qe-performance-tester'    // Query performance
  ],
  topology: 'sequential'
});

Related Skills


Remember

Test migrations before production: Forward works, rollback works, data preserved, performance acceptable. Never deploy untested migrations.

With Agents: qe-test-data-architect generates realistic test data with referential integrity. qe-test-executor validates migrations automatically in CI/CD.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Database Testing AI skill do?

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.

Why use Database Testing on TypingMind?

Because you install it once and use it with any model. Database Testing is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Database Testing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/proffesor-for-testing/agentic-qe/tree/main/assets/skills/database-testing. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Database Testing?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Database Testing?

As many as you like. As long as a model supports skills, you can use Database Testing with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Database Testing AI skill free?

Yes. It is published on GitHub by proffesor-for-testing under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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