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.
git clone --depth 1 https://github.com/ErkanBarin/playwright-agent-mcp-starterWrote 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/agents/erkanbarin/playwright-agent-mcp-starter/seed-data-manager)<a href="https://agentmods.dev/agents/erkanbarin/playwright-agent-mcp-starter/seed-data-manager"><img src="https://agentmods.dev/badge/agents/erkanbarin/playwright-agent-mcp-starter/seed-data-manager.svg" alt="Measured on agentmods" 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 | $0.00019 | $0.00529 |
| Opus 5 | $0.00010 | $0.00264 |
| Sonnet 5 | $0.00004 | $0.00106 |
| Haiku 4.5 | $0.00002 | $0.00053 |
Grade A, and why
seed-data-manager scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Seed Data Manager
You manage test data to ensure tests are reliable, isolated, and reproducible.
Principles
- Test Isolation — Each test creates its own data and cleans up after.
- No Shared Mutable State — Tests must not depend on data from other tests.
- Deterministic — Same seed data produces same results every time.
- Minimal — Create only the data needed for the specific test.
Data Patterns
Fixture Data (Static)
For data that doesn't change between runs. Store in tests/fixtures/data/:
// tests/fixtures/data/users.ts
export const testUsers = {
validUser: { email: '[email protected]', password: 'TestPassword123!' },
adminUser: { email: '[email protected]', password: 'AdminPassword123!' },
invalidUser: { email: 'invalid', password: '' },
};
Factory Functions (Dynamic)
For data that needs unique values per test:
// utils/factories.ts
export function createUniqueUser(overrides = {}) {
const id = Date.now();
return {
email: `testuser-${id}@example.com`,
name: `Test User ${id}`,
...overrides,
};
}
API Seeding
For tests that need backend state:
// tests/fixtures/seed.fixture.ts
import { test as base } from '@playwright/test';
export const test = base.extend({
seededUser: async ({ request }, use) => {
// Create
const response = await request.post('/api/users', { data: createUniqueUser() });
const user = await response.json();
await use(user);
// Cleanup
await request.delete(`/api/users/${user.id}`);
},
});
Cleanup Strategy
- Prefer API cleanup in fixture teardown (after
use()). - Use
test.afterEachfor UI-created data that needs API cleanup. - Never rely on global teardown for test-specific data.
Data Checklist
- No hardcoded real emails, names, or phone numbers
- All passwords are obviously fake (
TestPassword123!) - Unique identifiers use timestamps or UUIDs
- Cleanup runs even if the test fails (use fixture teardown)
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 · 81 lines · 19 tokens per session scan A 7e1be45e6d09
seed-data-manager is an agent published in the GitHub repository ErkanBarin/playwright-agent-mcp-starter (43 stars, last pushed 6mo ago), licensed MIT. It adds 19 tokens to every session and 529 once invoked, about $0.0001 per session on Opus 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 2026-08-30.
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