Wanwu is an enterprise platform for building AI agents, workflows, retrieval-augmented applications, and managing models in multi-tenant environments. It is designed for developers and enterprise teams delivering AI applications and integrations. The catalogue entries provide skills and agents for using the platform.
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 agentmods add skills/unicomai/wanwu/playwright-cli-openclawnpx skills add UnicomAI/wanwu --skill playwright-cli-openclawgit clone --depth 1 https://github.com/UnicomAI/wanwuWrote 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/unicomai/wanwu/playwright-cli-openclaw)<a href="https://agentmods.dev/skills/unicomai/wanwu/playwright-cli-openclaw"><img src="https://agentmods.dev/badge/skills/unicomai/wanwu/playwright-cli-openclaw.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 | $0.00076 | $0.01007 |
| Opus 5 | $0.00038 | $0.00504 |
| Sonnet 5 | $0.00015 | $0.00201 |
| Haiku 4.5 | $0.00008 | $0.00101 |
Grade A, and why
playwright-cli 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 yesterday.
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 — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Playwright CLI 技能
Playwright CLI是微软官方的浏览器自动化工具,支持Chromium、Firefox、WebKit三大主流浏览器,提供强大的网页自动化能力。
安装步骤
1. 安装Playwright CLI
npm install -g @playwright/test
# 或者
pip install playwright
2. 安装浏览器
playwright install
# 仅安装特定浏览器
playwright install chromium firefox
# 安装系统依赖(Linux环境)
playwright install-deps
核心常用命令
页面操作
# 打开指定网页
playwright open https://example.com
# 无头模式打开网页并截图
playwright screenshot https://example.com example.png
# 全屏截图
playwright screenshot https://example.com --full-page full.png
# 指定视口大小
playwright screenshot https://example.com --viewport-size=1920,1080 desktop.png
# 生成PDF
playwright pdf https://example.com example.pdf
# 自定义PDF格式
playwright pdf https://example.com --format=A4 --landscape report.pdf
录制用户操作
# 录制用户操作并生成代码
playwright codegen https://example.com
# 保存录制结果到文件
playwright codegen https://example.com --output script.py
# 生成指定语言的代码(python, javascript, java, csharp)
playwright codegen https://example.com --target python
测试相关
# 运行测试
playwright test
# 运行特定测试文件
playwright test tests/example.spec.js
# 有头模式运行测试(显示浏览器界面)
playwright test --headed
# 调试模式运行
playwright test --debug
# 生成测试报告
playwright show-report
浏览器管理
# 列出已安装的浏览器
playwright list-browsers
# 更新浏览器到最新版本
playwright install --force
# 卸载浏览器
playwright uninstall chromium
使用示例
示例1:批量截图多个网页
# 对多个网页进行全屏截图
for url in "https://google.com" "https://github.com" "https://stackoverflow.com"; do
name=$(echo $url | sed 's/https\?:\/\///' | sed 's/\//_/g')
playwright screenshot $url --full-page "${name}.png"
done
示例2:自动填写表单
# 录制生成的自动登录脚本示例
from playwright.sync_api import Playwright, sync_playwright, expect
def run(playwright: Playwright) -> None:
browser = playwright.chromium.launch(headless=False)
context = browser.new_context()
page = context.new_page()
page.goto("https://example.com/login")
page.get_by_label("用户名").fill("your_username")
page.get_by_label("密码").fill("your_password")
page.get_by_role("button", name="登录").click()
# 截图登录后的页面
page.screenshot(path="logged_in.png")
context.close()
browser.close()
with sync_playwright() as playwright:
run(playwright)
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- yesterday First seen · 129 lines · 76 tokens per session scan A 1cbe3e2371ec
playwright-cli is a skill published in the GitHub repository UnicomAI/wanwu (2,455 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 76 tokens to every session and 1,007 once invoked, about $0.0004 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 2026-09-03.
Other skills, from other repositories
smoke-test
End-to-end smoke test skill for DeerFlow. Guides through: 1) Pulling latest code, 2) Docker OR Local installation and deployment (user preference, default to Local if Docker network issues), 3) Service availability verification, 4) Health check, 5) Final test report. Use when the user says "run smoke test", "smoke…
langbot-testing
Test LangBot WebUI and core product flows with an automated browser and backend logs. Use when validating the configured LangBot frontend, pipeline Debug Chat, model provider setup and test buttons, bot and knowledge-base UI flows, or troubleshooting failed LangBot end-to-end tests.
penguin-harness-manual-test
Use when standing PenguinHarness up to try a change by hand — launching the Web App, the desktop shell, the landing page or the docs site to click through it, screenshot it, or reproduce a report. Covers the four dev entry points and their ports, which data root each writes to, and the four ways a healthy setup looks…
browser-testing-with-screenshots
Use when testing web applications with visual verification - automates Chrome browser interactions, element selection, and screenshot capture for confirming UI functionality.
11-browser-qa
Run post-review browser QA and produce short named videos for a locked happy path and sourced browser edge cases. Use when the user wants concise reviewer evidence for a web journey. Not for API, CLI, automated tests, diff review, or application fixes.
06-test
Write and iterate tests until they pass, or validate a user journey end to end in the browser. Use when the user wants to add coverage, find what's untested, or walk a flow. Not for auditing test health or debugging a failure.