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 makifbaysal/tasktrooper --skill test-database-seedinggit clone --depth 1 https://github.com/makifbaysal/tasktrooperWrote 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/makifbaysal/tasktrooper/test-database-seeding)<a href="https://agentmods.dev/skills/makifbaysal/tasktrooper/test-database-seeding"><img src="https://agentmods.dev/badge/skills/makifbaysal/tasktrooper/test-database-seeding/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/makifbaysal/tasktrooper/test-database-seeding"><img src="https://agentmods.dev/badge/skills/makifbaysal/tasktrooper/test-database-seeding.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 | $0.00825 |
| Opus 5.5 | $0.00015 | $0.00330 |
| Sonnet 5.5 | $0.00007 | $0.00165 |
| Haiku 4.5 | $0.00004 | $0.00082 |
Grade A, and why
test-database-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 — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Test Database Seeding
Overview
Automated tests need a database that is real (same engine as production), isolated (no shared state), and seeded with known data. The answer is a disposable, per-run database — Testcontainers spins up a real Postgres in a container, migrated and seeded, torn down after.
Core principle: Real engine, disposable instance, known seed. Never point tests at a shared dev or production database, and never use an in-memory substitute whose SQL differs from production.
Why not the alternatives
| Approach | Problem |
|---|---|
| Shared dev/staging DB | Flaky: other work mutates it; tests collide and depend on order |
| Production DB | Never — data risk, and tests would mutate real records |
| In-memory (H2/SQLite) | Dialect gaps: queries pass in H2, fail on Postgres → bugs ship |
| Disposable real DB (Testcontainers) | ✅ real engine, isolated, reproducible |
The Pattern
- Start a real DB container for the suite (Testcontainers):
postgres:<same-major-as-prod>. - Run the real migrations against it — the same migration files the app uses, so the schema is production-accurate.
- Seed known fixtures: insert the exact rows the scenario needs (a project, N tasks, a user with a role). Keep fixtures small and explicit — a test asserting "3 tasks" seeds exactly 3.
- Isolate per test: each test either runs in a transaction rolled back at the end, or truncates/reseeds between tests. No test sees another's data.
- Point the app/config at the container's connection string for the run.
- Tear down automatically when the suite ends.
Worked Example
@Testcontainers
class TaskExportIT {
@Container static PostgreSQLContainer<?> db =
new PostgreSQLContainer<>("postgres:16");
@BeforeAll static void migrate() { Flyway.configure().dataSource(db.getJdbcUrl(),
db.getUsername(), db.getPassword()).load().migrate(); } // real migrations
@BeforeEach void seed() {
// exactly the rows this scenario needs
insertProject("p1", "Demo");
insertTasks("p1", 3);
}
@Test void export_returns_all_tasks() {
var csv = export("p1");
assertEquals(3, csvRows(csv)); // asserts against the known seed
}
}
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 · 79 lines · 37 tokens per session scan A b9f1eead7502
test-database-seeding is a skill published in the GitHub repository makifbaysal/tasktrooper (113 stars, last pushed yesterday), licensed Apache-2.0. It adds 37 tokens to every session and 825 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 2026-10-05.
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