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Before starting: check .agents/qa-project-context.md for database type, ORM, migration tooling, and environment config — they shape every pattern below.
Check .agents/qa-project-context.md first — if it exists, use it and skip anything already answered there. Then:
prisma/seed.ts, seeds/, fixtures/, or factory patterns.Test migrations forward AND backward. Every migration should be reversible. If a rollback fails, you cannot recover from a bad deploy. Test the down path, not just the up — and test it with the actual revert mechanism (a hand-written down.sql for Prisma, a native revert command elsewhere), not a metadata flag.
Constraints are the first line of defense. NOT NULL, UNIQUE, FOREIGN KEY, and CHECK constraints stop bad data at the database, regardless of application code. Test that each one exists and rejects invalid data with the right error.
Deterministic seed data. Tests must produce the same result every run. Use factories with fixed IDs and fixed timestamps, not random data. faker.random() without a seed, uuid(), and now() in seed data create non-deterministic tests.
Isolate database state per test. Tests that share state are order-dependent and flaky. Use transaction rollback, per-test databases, or guaranteed cleanup.
Test the migration, not the ORM's sync. prisma db push / typeorm synchronize: true skip the migration path your users will actually run. Always exercise the real migration files.
A performance assertion that can't fail is worthless. Prove the EXPLAIN test goes red when the index is dropped before trusting it green. See Verification.
For runnable migration test code, see references/migration-tests.md.
Spin up a fresh, empty database, run all migrations with prisma migrate deploy, then assert against information_schema that the expected tables and columns exist with the right types, nullability, and defaults. Prefer a Testcontainers-provided DATABASE_URL; the admin-Pool CREATE DATABASE path is the fallback when you must target a standing Postgres — pick one strategy per suite, don't mix.
Prisma has no migrate down / migrate rollback command. prisma migrate resolve --rolled-back is not a rollback tool — it only fixes a migration whose migrate deploy failed, and it throws on a cleanly-applied one. The supported test for a reversible change: apply forward, capture state, run the hand-written down.sql directly (psql -f down.sql), assert the reverted object is gone, then re-apply. Maintain a down.sql per migration directory.
For TypeORM and Sequelize, both ship native revert commands (dataSource.undoLastMigration(), sequelize-cli db:migrate:undo); swap them in for the psql -f down.sql step — the capture → revert → assert → re-apply shape is identical.
For Drizzle Kit v1.0 (still beta as of mid-2026 — latest is drizzle-kit@1.0.0-beta.22, no stable GA yet; 0.44.x is the conservative pin if you need stable): drizzle-kit generate + drizzle-kit migrate. Pin the exact version in CI — the v1 beta line reworked the casing API and removed RQB v1 ._query for Postgres, and the API is still shifting between betas. Drizzle has no down-migration generator; check in your own inverse SQL, same as Prisma.
To test that an added column preserves existing rows, apply migrations up to N-1, insert data, then apply the migration under test and assert the rows survived (new nullable column carries its default or null). prisma migrate deploy has no --to flag — it applies all pending migrations. To stop at N-1, deploy a migrations directory containing only migrations up to N-1 (stage it in CI), then deploy the full directory. Tools with real targeting (Flyway -target=, Alembic upgrade <rev>) use the native flag instead.
The most common real migration bug: someone edits the DB or the schema without a matching migration, so the committed migrations no longer reproduce schema.prisma. prisma migrate diff --from-migrations … --to-schema-datamodel … --exit-code returns non-zero on drift — wire it into CI as a fast pre-flight before the heavier tests. See references/migration-tests.md.
Capture a pg_dump --schema-only snapshot before and after the migration and diff table-by-table so only the intended tables changed. See references/migration-tests.md.
TypeORM: DataSource with migrationsRun: false, then dataSource.runMigrations() and dataSource.undoLastMigration() in tests. Same shape: apply all, verify schema, revert last, verify rollback.
Alembic (Python): test alembic upgrade head from empty DB, alembic downgrade base for full rollback, and an upgrade→downgrade→upgrade cycle to verify schema consistency. Use a fresh test database via fixture.
For runnable constraint and referential-integrity code, see references/integrity-and-seed.md.
Assert that each constraint rejects invalid data: NOT NULL rejects missing required columns, UNIQUE rejects duplicates, FOREIGN KEY rejects dangling references, CHECK rejects out-of-range values, ON DELETE CASCADE removes dependent rows. Assert on the database error message (/null value in column/, /unique constraint/i, etc.) at the pool.query level — not at the ORM or application-validation layer, which can mask a missing DB constraint.
Run anti-join queries (LEFT JOIN … WHERE parent.id IS NULL) to assert there are no orphan records pointing at deleted parents. Then audit for the gap between intended and enforced integrity: COUNT(*) vs COUNT(DISTINCT col) flags a column that should be unique but lacks a constraint; COUNT(*) FILTER (WHERE col IS NULL) flags one that should be non-null. See references/integrity-and-seed.md.
Test: monetary values stored with correct precision (no float loss), VARCHAR length enforcement (value too long on overflow), and timezone-aware timestamps stored as UTC — insert with an offset (+02:00), retrieve, and verify ISO UTC output.
For runnable factory, seed-script, and isolation code, see references/integrity-and-seed.md.
Build records from a buildUser(overrides) factory that increments a counter for stable, deterministic IDs and emails and uses a fixed timestamp (new Date('2026-01-01T00:00:00Z'), never new Date() with no argument), with a createUser(pool, overrides) helper that inserts and returns the record. See references/integrity-and-seed.md.
Use upsert with fixed IDs so the seed is idempotent and re-runnable, and switch profiles on process.env.SEED_ENV: test (minimal, 2–3 users), staging (realistic volume, 50+ users), demo (curated). staging and demo extend test. See references/integrity-and-seed.md.
Wrap each test in BEGIN/ROLLBACK so inserts never persist between tests. The module-level shared client works for serial runs (jest --runInBand); parallel test files in one worker need a per-suite client or savepoints. See references/integrity-and-seed.md.
For runnable EXPLAIN ANALYZE and index-validation code, see references/performance-and-docker.md.
Run EXPLAIN (ANALYZE, FORMAT JSON) on critical queries, read plan.Plan['Node Type'], and assert it matches /Index/ (not Seq Scan) and that plan['Execution Time'] is under threshold. See references/performance-and-docker.md.
Query pg_indexes and assert the columns you rely on for lookups and range scans (users.email, orders.user_id, orders.created_at) are actually indexed. See references/performance-and-docker.md.
Seed realistic volume (10K+ rows), then measure execution time with performance.now() and assert critical queries (dashboard aggregations with JOINs, GROUP BY, ORDER BY) complete under a threshold (e.g. 100ms).
MongoDB: use collection.find(...).explain('executionStats') to verify index usage (stage must not be COLLSCAN), check totalDocsExamined is close to nReturned, and verify compound indexes exist via collection.indexes().
Preferred (2026): Testcontainers. @testcontainers/postgresql 11.14+ (May 2026) is the lower-friction default — programmatic container lifecycle, auto-cleanup, parallel execution with distinct ports. It removes the docker-compose file and port-conflict bookkeeping. See references/performance-and-docker.md for the PostgreSqlContainer setup.
Hand-rolled compose (still valid): docker-compose.test.yml with postgres:18-alpine, tmpfs for RAM-backed storage, and a pg_isready healthcheck. Map to a non-default port (e.g. 5433) to avoid conflicts with local Postgres. Match the major version to production — Postgres 18 is current (18.4, May 2026); bump from 17 unless production is pinned.
Chain scripts in package.json: test:db:up (compose up), test:db:migrate (prisma migrate deploy), test:db:seed (prisma db seed), test:db (all + jest), test:db:down (compose down -v).
Production data contains PII, is non-deterministic, and changes unpredictably. Use factories and seed scripts with synthetic data.
name: database-testing description: >- Validate database integrity, test migrations forward and backward, verify schema constraints, manage seed data, detect migration drift, and identify query performance issues. Covers PostgreSQL, MySQL, MongoDB with Prisma, TypeORM, Drizzle, and SQLAlchemy, plus Testcontainers test databases. Use when: "database test," "migration test," "migration rollback," "rollback test," "data integrity," "SQL test," "schema validation," "seed data," "query performance," "Testcontainers." Not for: synthetic data generation/masking at scale — use test-data-management; Docker/IaC test-environment provisioning — use test-environments; SQL injection — use security-testing. Related: test-data-management, test-environments, security-testing, ci-cd-integration. license: MIT metadata: author: kindlmann version: "2.0" category: specialized
---
name: database-testing
description: >-
Validate database integrity, test migrations forward and backward, verify schema
constraints, manage seed data, detect migration drift, and identify query performance
issues. Covers PostgreSQL, MySQL, MongoDB with Prisma, TypeORM, Drizzle, and SQLAlchemy,
plus Testcontainers test databases.
Use when: "database test," "migration test," "migration rollback," "rollback test,"
"data integrity," "SQL test," "schema validation," "seed data," "query performance,"
"Testcontainers."
Not for: synthetic data generation/masking at scale — use test-data-management;
Docker/IaC test-environment provisioning — use test-environments; SQL injection — use security-testing.
Related: test-data-management, test-environments, security-testing, ci-cd-integration.
license: MIT
metadata:
author: kindlmann
version: "2.0"
category: specialized
---
<objective>
A migration that passes `prisma migrate deploy` can still silently drop a column's data, and an `EXPLAIN` assertion that never fails will green-light a query that lost its index — both ship to production looking fine. This skill produces database tests that catch those: forward AND backward migration tests, constraint-rejection tests, deterministic seed data, drift detection, and query-plan assertions that actually fail when the index disappears.
**Before starting:** check `.agents/qa-project-context.md` for database type, ORM, migration tooling, and environment config — they shape every pattern below.
</objective>
---
## Discovery Questions
Check `.agents/qa-project-context.md` first — if it exists, use it and skip anything already answered there. Then:
1. **Database type:** PostgreSQL, MySQL, SQLite, MongoDB, or multi-database? Each has different constraint syntax, migration tools, and performance profiling.
2. **ORM / query builder:** Prisma, TypeORM, Drizzle, Sequelize, SQLAlchemy, Django ORM, or raw SQL? The ORM determines migration tooling and test patterns.
3. **Migration tool:** Prisma Migrate, TypeORM migrations, Flyway, Liquibase, Alembic, knex, or custom? This determines how to test forward and backward migrations.
4. **Test database strategy:** isolated DB per test, transaction rollback, Testcontainers, or shared DB with cleanup? Affects speed and reliability.
5. **Existing seed data:** factories, fixtures, or seed scripts? Check `prisma/seed.ts`, `seeds/`, `fixtures/`, or factory patterns.
6. **Performance baselines:** any existing query benchmarks or slow-query monitoring?
---
## Core Principles
1. **Test migrations forward AND backward.** Every migration should be reversible. If a rollback fails, you cannot recover from a bad deploy. Test the `down` path, not just the `up` — and test it with the *actual* revert mechanism (a hand-written `down.sql` for Prisma, a native revert command elsewhere), not a metadata flag.
2. **Constraints are the first line of defense.** `NOT NULL`, `UNIQUE`, `FOREIGN KEY`, and `CHECK` constraints stop bad data at the database, regardless of application code. Test that each one exists and rejects invalid data with the right error.
3. **Deterministic seed data.** Tests must produce the same result every run. Use factories with fixed IDs and fixed timestamps, not random data. `faker.random()` without a seed, `uuid()`, and `now()` in seed data create non-deterministic tests.
4. **Isolate database state per test.** Tests that share state are order-dependent and flaky. Use transaction rollback, per-test databases, or guaranteed cleanup.
5. **Test the migration, not the ORM's sync.** `prisma db push` / `typeorm synchronize: true` skip the migration path your users will actually run. Always exercise the real migration files.
6. **A performance assertion that can't fail is worthless.** Prove the EXPLAIN test goes red when the index is dropped before trusting it green. See Verification.
---
## Migration Testing
For runnable migration test code, see `references/migration-tests.md`.
### Forward Migration Validation
Spin up a fresh, empty database, run all migrations with `prisma migrate deploy`, then assert against `information_schema` that the expected tables and columns exist with the right types, nullability, and defaults. Prefer a Testcontainers-provided `DATABASE_URL`; the admin-Pool `CREATE DATABASE` path is the fallback when you must target a standing Postgres — pick one strategy per suite, don't mix.
### Rollback Testing
Prisma has **no** `migrate down` / `migrate rollback` command. `prisma migrate resolve --rolled-back` is **not** a rollback tool — it only fixes a migration whose `migrate deploy` *failed*, and it throws on a cleanly-applied one. The supported test for a reversible change: apply forward, capture state, run the hand-written `down.sql` directly (`psql -f down.sql`), assert the reverted object is gone, then re-apply. Maintain a `down.sql` per migration directory.
For **TypeORM and Sequelize**, both ship native revert commands (`dataSource.undoLastMigration()`, `sequelize-cli db:migrate:undo`); swap them in for the `psql -f down.sql` step — the capture → revert → assert → re-apply shape is identical.
For **Drizzle Kit v1.0 (still beta as of mid-2026 — latest is `drizzle-kit@1.0.0-beta.22`, no stable GA yet; `0.44.x` is the conservative pin if you need stable)**: `drizzle-kit generate` + `drizzle-kit migrate`. Pin the exact version in CI — the v1 beta line reworked the `casing` API and removed RQB v1 `._query` for Postgres, and the API is still shifting between betas. Drizzle has no down-migration generator; check in your own inverse SQL, same as Prisma.
### Data Preservation During Migration
To test that an added column preserves existing rows, apply migrations up to N-1, insert data, then apply the migration under test and assert the rows survived (new nullable column carries its default or null). **`prisma migrate deploy` has no `--to` flag** — it applies *all* pending migrations. To stop at N-1, deploy a migrations directory containing only migrations up to N-1 (stage it in CI), then deploy the full directory. Tools with real targeting (Flyway `-target=`, Alembic `upgrade <rev>`) use the native flag instead.
### Migration Drift Detection
The most common real migration bug: someone edits the DB or the schema without a matching migration, so the committed migrations no longer reproduce `schema.prisma`. `prisma migrate diff --from-migrations … --to-schema-datamodel … --exit-code` returns non-zero on drift — wire it into CI as a fast pre-flight before the heavier tests. See `references/migration-tests.md`.
### Schema Snapshot Comparison
Capture a `pg_dump --schema-only` snapshot before and after the migration and diff table-by-table so only the intended tables changed. See `references/migration-tests.md`.
### Other ORMs
**TypeORM:** `DataSource` with `migrationsRun: false`, then `dataSource.runMigrations()` and `dataSource.undoLastMigration()` in tests. Same shape: apply all, verify schema, revert last, verify rollback.
**Alembic (Python):** test `alembic upgrade head` from empty DB, `alembic downgrade base` for full rollback, and an upgrade→downgrade→upgrade cycle to verify schema consistency. Use a fresh test database via fixture.
---
## Data Integrity Testing
For runnable constraint and referential-integrity code, see `references/integrity-and-seed.md`.
### Constraint Testing
Assert that each constraint rejects invalid data: `NOT NULL` rejects missing required columns, `UNIQUE` rejects duplicates, `FOREIGN KEY` rejects dangling references, `CHECK` rejects out-of-range values, `ON DELETE CASCADE` removes dependent rows. Assert on the database error message (`/null value in column/`, `/unique constraint/i`, etc.) at the `pool.query` level — not at the ORM or application-validation layer, which can mask a missing DB constraint.
### Referential Integrity & Data-Quality Audit
Run anti-join queries (`LEFT JOIN … WHERE parent.id IS NULL`) to assert there are no orphan records pointing at deleted parents. Then audit for the gap between *intended* and *enforced* integrity: `COUNT(*)` vs `COUNT(DISTINCT col)` flags a column that should be unique but lacks a constraint; `COUNT(*) FILTER (WHERE col IS NULL)` flags one that should be non-null. See `references/integrity-and-seed.md`.
### Data Type Validation
Test: monetary values stored with correct precision (no float loss), VARCHAR length enforcement (`value too long` on overflow), and timezone-aware timestamps stored as UTC — insert with an offset (`+02:00`), retrieve, and verify ISO UTC output.
---
## Seed Data Management
For runnable factory, seed-script, and isolation code, see `references/integrity-and-seed.md`.
### Factory Pattern (TypeScript)
Build records from a `buildUser(overrides)` factory that increments a counter for stable, deterministic IDs and emails and uses a fixed timestamp (`new Date('2026-01-01T00:00:00Z')`, never `new Date()` with no argument), with a `createUser(pool, overrides)` helper that inserts and returns the record. See `references/integrity-and-seed.md`.
### Prisma Seed Script
Use `upsert` with fixed IDs so the seed is idempotent and re-runnable, and switch profiles on `process.env.SEED_ENV`: `test` (minimal, 2–3 users), `staging` (realistic volume, 50+ users), `demo` (curated). `staging` and `demo` extend `test`. See `references/integrity-and-seed.md`.
### Test Isolation with Transaction Rollback
Wrap each test in `BEGIN`/`ROLLBACK` so inserts never persist between tests. The module-level shared client works for serial runs (`jest --runInBand`); parallel test files in one worker need a per-suite client or savepoints. See `references/integrity-and-seed.md`.
---
## Query Performance Testing
For runnable EXPLAIN ANALYZE and index-validation code, see `references/performance-and-docker.md`.
### EXPLAIN ANALYZE Patterns
Run `EXPLAIN (ANALYZE, FORMAT JSON)` on critical queries, read `plan.Plan['Node Type']`, and assert it matches `/Index/` (not `Seq Scan`) and that `plan['Execution Time']` is under threshold. See `references/performance-and-docker.md`.
### Index Validation
Query `pg_indexes` and assert the columns you rely on for lookups and range scans (`users.email`, `orders.user_id`, `orders.created_at`) are actually indexed. See `references/performance-and-docker.md`.
### Slow Query Detection
Seed realistic volume (10K+ rows), then measure execution time with `performance.now()` and assert critical queries (dashboard aggregations with JOINs, GROUP BY, ORDER BY) complete under a threshold (e.g. 100ms).
**MongoDB:** use `collection.find(...).explain('executionStats')` to verify index usage (`stage` must not be `COLLSCAN`), check `totalDocsExamined` is close to `nReturned`, and verify compound indexes exist via `collection.indexes()`.
---
## Docker-Based Test Database
**Preferred (2026): Testcontainers.** `@testcontainers/postgresql` 11.14+ (May 2026) is the lower-friction default — programmatic container lifecycle, auto-cleanup, parallel execution with distinct ports. It removes the docker-compose file and port-conflict bookkeeping. See `references/performance-and-docker.md` for the `PostgreSqlContainer` setup.
**Hand-rolled compose (still valid):** `docker-compose.test.yml` with `postgres:18-alpine`, `tmpfs` for RAM-backed storage, and a `pg_isready` healthcheck. Map to a non-default port (e.g. 5433) to avoid conflicts with local Postgres. Match the major version to production — Postgres 18 is current (18.4, May 2026); bump from 17 unless production is pinned.
Chain scripts in `package.json`: `test:db:up` (compose up), `test:db:migrate` (prisma migrate deploy), `test:db:seed` (prisma db seed), `test:db` (all + jest), `test:db:down` (compose down -v).
---
## Anti-Patterns
### 1. Testing against production database copies
Production data contains PII, is non-deterministic, and changes unpredictably. Use factories and seed scripts with synthetic data.
### 2. Shared database state between teSkill source recorded
Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.
Review before install: Avoid automatic install
License: MIT
Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
Version reported in registry metadata; check source releases before relying on it.
Quality
61/100
Promising
Trust
51/100
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
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"This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.",
"Quality score needs review",
"Permission surface needs review: secrets or environment access, shell or command execution",
"Stars/forks activity: 111 stars, 22 forks; issue activity unavailable in current metadata",
"Dependency/runtime risk: command execution surface, credential or environment access",
"Permission surface: secrets or environment access, shell or command execution"
]
},
"agent_proven": {
"version": "agent-proven-v1",
"score": 0,
"tier": "unproven",
"label": "Needs first agent run",
"summary": "No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.",
"metrics": {
"totalOutcomes": 0,
"successfulOutcomes": 0,
"failedOutcomes": 0,
"installAttempts": 0,
"installSuccessRate": null,
"successRate": null,
"recentSuccessRate": null,
"recentFailureRate": null,
"riskBlocked": 0,
"setupRequired": 0,
"notRelevant": 0,
"avgOutputQuality": null,
"avgTimeToUsefulMs": null,
"productionOutcomes": 0,
"humanReviewRequired": 0,
"uniqueAgents": 0,
"lastOutcomeAt": null
},
"signals": [],
"penalties": [
"No real agent outcome evidence yet"
]
},
"audit": {
"score": 67,
"risk_level": "risky",
"risk_label": "Risky",
"warnings": [
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
"Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required",
"SKILL.md excerpt is truncated; full content not reviewed, but provided sections are comprehensive.",
"Code examples are primarily PostgreSQL/TypeScript; other databases/ORMs mentioned but not demonstrated.",
"This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.",
"Quality score needs review",
"Permission surface needs review: secrets or environment access, shell or command execution"
]
},
"safety_gate": {
"tier": "blocked",
"label": "Blocked for auto-install",
"auto_install_policy": "block",
"auto_install_allowed": false,
"human_review_required": true,
"blocked": true,
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
},
"quality": {
"score": 61,
"label": "Promising"
},
"supply": {
"track": "Data, BI, and analytics",
"scenario": "Database and SQL",
"maintenance": "4mo since push",
"risk": "Risky"
},
"alternative_skills": [],
"do_not_use_when": [
"teams that need a vendor-supported SLA",
"production agents without a repository review",
"SKILL.md excerpt is truncated; full content not reviewed, but provided sections are comprehensive.",
"No OpenAgentSkill engagement data yet",
"Audit risk risky exceeds max_risk=medium",
"High-risk permission hints: Shell or command execution, Secrets or environment access",
"Dependency or permission surface needs review",
"Permission surface may require sandboxing"
],
"agent_contract": {
"task_input": "Use database-testing in an agent workflow",
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
"install_policy": "block",
"minimum_review_before_use": [
"Trust: 59/100 Manual review",
"Audit: 67/100 Risky",
"Safety: 23/100 Avoid automatic install",
"Review repository, license, install command, and permission surface before production use."
],
"expected_agent_output": {
"selected_skill": "petrkindlmann-database-testing (database-testing)",
"install_command": "npx skills add petrkindlmann/qa-skills --skill database-testing",
"risk_summary": "Risky; Blocked for auto-install; Review before production",
"verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
}
},
"outcome_feedback": {
"endpoint": "https://www.openagentskill.com/api/agent/outcome",
"method": "POST",
"requires_resolve_event_id": true,
"event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
"expected_outcomes": [
"success",
"failed",
"not_relevant",
"blocked_by_risk",
"setup_required"
],
"payload_template": {
"event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
"skill_slug": "petrkindlmann-database-testing",
"task": "Use database-testing in an agent workflow",
"agent": "codex",
"outcome": "success",
"install_used": true,
"risk_blocked": false,
"setup_required": false,
"task_success": true,
"output_quality": 4,
"error_type": null,
"human_review_required": false,
"workspace": "sandbox",
"time_to_useful_ms": 120000,
"notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
}
},
"endpoints": {
"web": "https://www.openagentskill.com/skills/petrkindlmann-database-testing",
"api": "https://www.openagentskill.com/api/agent/skills/petrkindlmann-database-testing",
"audit": "https://www.openagentskill.com/skills/petrkindlmann-database-testing/audit",
"eval": "https://www.openagentskill.com/api/agent/evals?slug=petrkindlmann-database-testing&task=Use%20database-testing%20in%20an%20agent%20workflow&max_risk=medium",
"resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20database-testing%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
"receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20database-testing%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
"install": "https://www.openagentskill.com/api/skills/petrkindlmann-database-testing/install",
"manifest": "https://www.openagentskill.com/api/registry/manifest/petrkindlmann-database-testing"
}
}Listing source
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Audit
67/100
Risky
Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.