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 proffesor-for-testing/agentic-qe --skill database-testinggit clone --depth 1 https://github.com/proffesor-for-testing/agentic-qeWrote 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/proffesor-for-testing/agentic-qe/database-testing)<a href="https://agentmods.dev/skills/proffesor-for-testing/agentic-qe/database-testing"><img src="https://agentmods.dev/badge/skills/proffesor-for-testing/agentic-qe/database-testing/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/proffesor-for-testing/agentic-qe/database-testing"><img src="https://agentmods.dev/badge/skills/proffesor-for-testing/agentic-qe/database-testing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00037 | $0.01544 |
| Opus 5.5 | $0.00015 | $0.00618 |
| Sonnet 5.5 | $0.00007 | $0.00309 |
| Haiku 4.5 | $0.00004 | $0.00154 |
Grade A, and why
database-testing 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 6d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- database-testing — 86% identical, 10 lines differ
How it starts
The opening of the file, as written. The whole thing — 240 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Database Testing
<default_to_action> When testing database operations:
- VALIDATE schema (tables, columns, constraints exist as expected)
- TEST data integrity (unique, foreign key, check constraints)
- VERIFY migrations (forward works, rollback works, data preserved)
- CHECK transaction isolation (ACID properties, concurrent access)
- 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
| Type | Focus | When |
|---|---|---|
| Schema | Structure correct | Table creation |
| Integrity | Constraints work | Data operations |
| Migration | Up/down work | Schema changes |
| Transaction | ACID properties | Concurrent access |
| Performance | Query speed | Optimization |
Schema Testing
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
test('email must be unique', async () => {
await db.users.create({ email: '[email protected]' });
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 });
await expect(
db.users.delete({ id: user.id })
).rejects.toThrow('foreign key constraint');
});
What ships with it
3 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.
- 6d ago First seen · 240 lines · 37 tokens per session scan A 8abc711cea2f
database-testing is a skill published in the GitHub repository proffesor-for-testing/agentic-qe (504 stars, last pushed yesterday), licensed MIT. It adds 37 tokens to every session and 1,544 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-10-11.
Other skills, from other repositories
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.
sql-agent
Write, optimize, and explain SQL queries. Use when user needs to write a query, debug slow SQL, understand a query plan, or design a schema.
Database Migration Testing
Testing database migration scripts for correctness, rollback safety, data integrity, and zero-downtime migration patterns.
database-patterns
Database patterns for JPA/Spring Data. Schema naming, Flyway migrations, N+1 prevention, transaction boundaries, indexing strategy.
database-schema-designer
Design production-ready database schemas for SQL and NoSQL databases. Covers normalization, indexing strategy, migration management with rollback safety, query optimization, and multi-tenant patterns. Supports PostgreSQL, MySQL, SQLite, MongoDB, and Vitess.
database-query
Generate, optimize, and explain SQL queries - supports SQLite, PostgreSQL, MySQL with schema introspection, migration generation, and query performance analysis.