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/pnakhat/qa-ai-repoWrote 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/plugins/pnakhat/qa-ai-repo/playwright-e2e)<a href="https://agentmods.dev/plugins/pnakhat/qa-ai-repo/playwright-e2e"><img src="https://agentmods.dev/badge/plugins/pnakhat/qa-ai-repo/playwright-e2e/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/plugins/pnakhat/qa-ai-repo/playwright-e2e"><img src="https://agentmods.dev/badge/plugins/pnakhat/qa-ai-repo/playwright-e2e.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
playwright-e2e 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
{
"name": "playwright-e2e",
"displayName": "Playwright E2E Testing",
"version": "0.10.0",
"description": "Author and maintain resilient Playwright end-to-end tests using the Page Object Model, fixtures, stable user-facing locators, and web-first assertions. Enforces guardrails against flakiness, brittle selectors, and shared state. Drives Playwright's built-in planner, generator, and healer agents (playwright-test MCP) and refactors their output to project conventions; also includes the live-browser Playwright MCP server.",
"author": {
"name": "pnakhat"
},
"homepage": "https://github.com/pnakhat/qa-ai-repo/tree/main/playwright-e2e",
"repository": "https://github.com/pnakhat/qa-ai-repo",
"license": "MIT",
"keywords": [
"qa",
"testing",
"playwright-e2e"
],
"mcpServers": {
"playwright-test": {
"command": "npx",
"args": [
"--no-install",
"playwright",
"run-test-mcp-server"
]
},
"playwright": {
"command": "npx",
"args": [
"-y",
"@playwright/[email protected]",
"--isolated"
]
}
}
}
What it installs
The manifest is a name and a version. 1 skill, 1 agent travel with it, and installing the plugin installs all of them — 173 tokens a session between them. Each is measured on its own page, and each can be installed alone.
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 Changed · +2 lines 6d9381f6ca3b
- 11d ago First seen · 34 lines scan A 69802cdac3c9
playwright-e2e is a plugin published in the GitHub repository pnakhat/qa-ai-repo (2 stars, last pushed 10d ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. 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 2026-10-06.
Other plugins, from other repositories
e2e
E2E test triage, debugging, and fix implementation toolkit.
meticulous
Agent skills for Meticulous visual regression testing — review test runs, investigate replays, debug diffs. Also connects the hosted Meticulous MCP server.
sniff
Autonomous QA scanner via sniff-qa: walks your running app in a real browser and reports real bugs (broken pages/links, console/network errors, broken forms, state-loss, empty/placeholder data, bad loading/error states, responsive + a11y) with reproduction proof, severity, confidence, and a fix. No API key.
headless
Headless browser automation for site comparison, E2E testing, and anti-bot-aware web research.
accessibility-test-scanner
A11y compliance testing with WCAG 2.1/2.2 validation, screen reader compatibility, and automated accessibility audits.
humanizer
Rewrite AI-sounding text so it reads like the writer without changing what it says.