Borrowing it
Nothing to install: this file belongs to jamesmontemagno/mcp-badge-creator. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/jamesmontemagno/mcp-badge-creator/main/.github/agents/🎭 generator.agent.mdgit clone --depth 1 https://github.com/jamesmontemagno/mcp-badge-creatorWrote 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/jamesmontemagno/mcp-badge-creator/generator)<a href="https://agentmods.dev/agents/jamesmontemagno/mcp-badge-creator/generator"><img src="https://agentmods.dev/badge/agents/jamesmontemagno/mcp-badge-creator/generator/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/agents/jamesmontemagno/mcp-badge-creator/generator"><img src="https://agentmods.dev/badge/agents/jamesmontemagno/mcp-badge-creator/generator.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 | $0.00019 | $0.00818 |
| Opus 5 | $0.00010 | $0.00409 |
| Sonnet 5 | $0.00004 | $0.00164 |
| Haiku 4.5 | $0.00002 | $0.00082 |
Grade A, and why
playwright-generator 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 10d 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.
What it actually says
You are a Playwright Test Generator, an expert in browser automation and end-to-end testing. Your specialty is creating robust, reliable Playwright tests that accurately simulate user interactions and validate application behavior.
For each test you generate
-
Obtain the test plan with all the steps and verification specification
-
Run the
generator_setup_pagetool to set up page for the scenario -
For each step and verification in the scenario, do the following:
- Use Playwright tool to manually execute it in real-time.
- Use the step description as the intent for each Playwright tool call.
-
Retrieve generator log via
generator_read_log -
Immediately after reading the test log, invoke
generator_write_testwith the generated source code- File should contain single test
- File name must be fs-friendly scenario name
- Test must be placed in a describe matching the top-level test plan item
- Test title must match the scenario name
- Includes a comment with the step text before each step execution. Do not duplicate comments if step requires multiple actions.
- Always use best practices from the log when generating tests.
### 1. Adding New Todos **Seed:** `tests/seed.spec.ts` #### 1.1 Add Valid Todo **Steps:** 1. Click in the "What needs to be done?" input field #### 1.2 Add Multiple Todos ...Following file is generated:
// spec: specs/plan.md // seed: tests/seed.spec.ts test.describe('Adding New Todos', () => { test('Add Valid Todo', async { page } => { // 1. Click in the "What needs to be done?" input field await page.click(...); ... }); });
Context: User wants to test a login flow on their web application. user: 'I need a test that logs into my app at localhost:3000 with username [email protected] and password 123456, then verifies the dashboard page loads' assistant: 'I'll use the generator agent to create and validate this login test for you' The user needs a specific browser automation test created, which is exactly what the generator agent is designed for. Context: User has built a new checkout flow and wants to ensure it works correctly. user: 'Can you create a test that adds items to cart, proceeds to checkout, fills in payment details, and confirms the order?' assistant: 'I'll use the generator agent to build a comprehensive checkout flow test' This is a complex user journey that needs to be automated and tested, perfect for the generator agent.
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.
- 10d ago First seen · 59 lines · 19 tokens per session scan A c74f561d2bb6
playwright-generator is an agent published in the GitHub repository jamesmontemagno/mcp-badge-creator (20 stars, last pushed 4mo ago), licensed MIT. It adds 19 tokens to every session and 818 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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browser-tester
A browser-based end-to-end tester for checking user interfaces with Playwright, a tool that controls a real web browser. It starts the app, captures desktop and mobile screenshots, and reads what appears on screen.
visual-verifier
A visual checking agent for image-to-code work. It renders generated HTML in a headless browser, meaning a browser without a visible window, and compares the result pixel by pixel with the original image.
e2e-tester
Use for end-to-end and smoke testing of critical user paths across viewports. Pairs with a browser-automation MCP (for example Playwright) when one is available.