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/adriannoes/awesome-agentic-aiWrote 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/adriannoes/awesome-agentic-ai/playwright-pro)<a href="https://agentmods.dev/plugins/adriannoes/awesome-agentic-ai/playwright-pro"><img src="https://agentmods.dev/badge/plugins/adriannoes/awesome-agentic-ai/playwright-pro/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/adriannoes/awesome-agentic-ai/playwright-pro"><img src="https://agentmods.dev/badge/plugins/adriannoes/awesome-agentic-ai/playwright-pro.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
pw 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 1mo 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": "pw",
"description": "Production-grade Playwright testing toolkit. Generate tests from specs, fix flaky failures, migrate from Cypress/Selenium, sync with TestRail, run on BrowserStack. 55+ ready-to-use templates, 3 specialized agents, smart reporting that plugs into your existing workflow.",
"version": "2.9.0",
"author": {
"name": "Alireza Rezvani",
"url": "https://alirezarezvani.com"
},
"homepage": "https://github.com/alirezarezvani/claude-skills/tree/main/engineering-team/playwright-pro",
"repository": "https://github.com/alirezarezvani/claude-skills",
"license": "MIT",
"skills": [
"./skills"
]
}
What it installs
The manifest is a name and a version. 10 skills, 3 agents, 2 hooks, 2 MCP servers travel with it, and installing the plugin installs all of them — 598 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill playwright-pro A 77 tokens
- Skill browserstack A 44 tokens
- Skill generate A 51 tokens
- Skill init A 44 tokens
- Skill migrate A 50 tokens
- Skill fix A 47 tokens
- Skill report A 37 tokens
- Skill review A 44 tokens
- Skill testrail A 50 tokens
- Skill coverage A 39 tokens
- Agent migration-planner A 31 tokens
- Agent test-architect A 43 tokens
- Agent test-debugger A 41 tokens
- Hook PostToolUse A not measured
- Hook SessionStart A not measured
- MCP server pw-browserstack A not measured
- MCP server pw-testrail A not measured
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.
- 1mo ago First seen · 16 lines scan A d39d5d1ee80f
pw is a plugin published in the GitHub repository adriannoes/awesome-agentic-ai (69 stars, last pushed 11d 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 2026-08-30.
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