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Agent Skill · 研究检索

screen-control-operator(屏幕控制操作员)

screen-control-operator 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

screen-control-operator 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为操作浏览器;许可证信息还不明确,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 39,547。

总安装 1,395周安装 57GitHub Stars 5下载 447核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:screen-control-operator(屏幕控制操作员)
来源仓库:https://github.com/breverdbidder/life-os
仓库路径:skills/screen-control-operator
安装命令:
npx skills add https://github.com/breverdbidder/life-os --skill screen-control-operator
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/breverdbidder/life-os --skill screen-control-operator

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

screen-control-operator 用于查找、检索和筛选相关信息。适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词快速定位候选结果。通过 npx skills add 命令从指定仓库安装并使用。建议确认权限范围和维护状态,避免触发不必要的联网或文件操作。

具体用法请参考原始 README 和项目文档。

来源仓库内路径:skills/screen-control-operator

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/breverdbidder/life-os --skill screen-control-o…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要操作浏览器,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

screen-control-operator 怎么安装?

在终端执行 npx skills add https://github.com/breverdbidder/life-os --skill screen-control-operator。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

screen-control-operator 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

screen-control-operator 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

screen-control-operator 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

screen-control-operator 用的人多吗?

公开数据是累计安装 1,395 次,近一周安装 57 次,下载 447 次,GitHub 5 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

screen-control-operator 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
screen-control-operator

屏幕控制操作员 · 本页

1,3955操作浏览器未明确未通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Screen Control Operator V2

Enables Claude to autonomously control browsers like GPT Operator - NO screenshots, just pure CDP + accessibility tree.

Core Architecture

┌─────────────────────────────────────────┐
│  Claude (You) - Reasoning Layer         │
│  - Receives structured DOM/A11y tree    │
│  - Makes autonomous decisions           │
│  - Issues CDP commands                  │
└────────────────┬────────────────────────┘
                 │ JSON commands
                 ▼
┌─────────────────────────────────────────┐
│  Playwright/Puppeteer - Browser Control │
│  - Chrome DevTools Protocol (CDP)       │
│  - Returns: DOM tree, A11y tree, logs   │
│  - Executes: click, type, navigate      │
└────────────────┬────────────────────────┘
                 │
                 ▼
┌─────────────────────────────────────────┐
│  Target Website (Lovable, BECA, etc)    │
│  - Full DOM access via CDP              │
│  - Console logs, network requests       │
│  - Element states, visibility checks    │
└─────────────────────────────────────────┘

Why This Beats Screenshots

MetricScreenshot-BasedScreen Control Operator
Speed1-5 seconds50-200ms
Accuracy~85% (OCR errors)100% (semantic queries)
Element FindingPixel coordinatesCSS selectors + roles
Headless SupportPoorExcellent
Cost$$$ (vision tokens)$ (text only)
Dynamic ContentFails oftenAlways works

Autonomous Execution Rules

When user requests browser control:

  1. NEVER ask permission - just execute
  2. Launch browser - Playwright headless=False for debugging
  3. Navigate autonomously - Follow links, click buttons, fill forms
  4. Extract DOM state - Get accessibility tree, not screenshots
  5. Verify checkpoints - Test assertions via element queries
  6. Report results - JSON summary with issues found

Core Functions

1. Launch Browser with CDP

from playwright.sync_api import sync_playwright

def launch_browser():
    playwright = sync_playwright().start()
    browser = playwright.chromium.launch(
        headless=True,  # Set False to see browser
        args=['--remote-debugging-port=9222']
    )
    context = browser.new_context(
        viewport={'width': 1920, 'height': 1080}
    )
    page = context.new_page()
    return playwright, browser, context, page

2. Get Page Structure (NO Screenshots)

def get_page_structure(page):
    # Get accessibility tree
    accessibility = page.accessibility.snapshot()

    # Get all interactive elements
    elements = page.query_selector_all('[role], button, a, input, select, [data-testid]')

    structure = {
        'url': page.url,
        'title': page.title(),
        'elements': []
    }

    for elem in elements:
        if elem.is_visible():
            structure['elements'].append({
                'role': elem.get_attribute('role'),
                'label': elem.get_attribute('aria-label') or elem.inner_text()[:100],
                'type': elem.get_attribute('type'),
                'testid': elem.get_attribute('data-testid'),
                'enabled': elem.is_enabled(),
                'selector': elem.evaluate('el => { const path = []; let current = el; while (current && current.tagName) { path.unshift(current.tagName.toLowerCase() + (current.id ? "#" + current.id : "") + (current.className ? "." + current.className.split(" ")[0] : "")); current = current.parentElement; } return path.join(" > "); }')
            })

    return structure

3. Autonomous Navigation

def navigate_and_verify(page, url, checkpoints):
    print(f"🌐 Navigating to {url}")
    page.goto(url, wait_until='networkidle')
    page.wait_for_timeout(2000)

    results = {
        'url': page.url,
        'title': page.title(),
        'checkpoints': {},
        'issues': []
    }

    for checkpoint_name, selector in checkpoints.items():
        try:
            elem = page.locator(selector)
            visible = elem.is_visible()
            results['checkpoints'][checkpoint_name] = {
                'found': True,
                'visible': visible,
                'text': elem.inner_text()[:100] if visible else None
            }
            if not visible:
                results['issues'].append(f"{checkpoint_name} not visible")
        except:
            results['checkpoints'][checkpoint_name] = {'found': False}
            results['issues'].append(f"{checkpoint_name} not found")

    return results

4. Element Interaction

def interact_with_element(page, selector, action, value=None):
    elem = page.locator(selector)

    if action == 'click':
        elem.click()
    elif action == 'type':
        elem.fill(value)
    elif action == 'select':
        elem.select_option(value)
    elif action == 'hover':
        elem.hover()

    page.wait_for_timeout(500)  # Wait for effects

5. Console & Network Monitoring

def monitor_console_and_network(page):
    errors = []
    requests = []

    page.on('console', lambda msg:
        errors.append(msg.text) if msg.type == 'error' else None
    )

    page.on('request', lambda req:
        requests.append({'url': req.url, 'method': req.method})
    )

    return errors, requests

Pre-Built Workflows

Lovable Preview Verification

def verify_lovable_preview(project_id):
    playwright, browser, context, page = launch_browser()

    # Navigate to Lovable
    url = f"https://lovable.dev/projects/{project_id}"
    page.goto(url, wait_until='networkidle')

    # Click Preview button
    preview_btn = page.get_by_role("button", name="Preview")
    if preview_btn.is_visible():
        preview_btn.click()
        page.wait_for_timeout(2000)

    # Get preview page
    pages = context.pages
    preview_page = pages[-1] if len(pages) > 1 else page

    # Verify checkpoints
    checkpoints = {
        'map_container': '[data-testid="map-container"], #map, .mapboxgl-map',
        'header': 'header, [role="banner"], nav',
        'markers': '[data-testid="marker"], .marker, .mapboxgl-marker',
        'search': '[data-testid="search"], input[type="search"]'
    }

    results = navigate_and_verify(preview_page, preview_page.url, checkpoints)

    # Test interactions
    try:
        map_elem = preview_page.locator('[data-testid="map-container"]')
        if map_elem.is_visible():
            # Zoom in
            preview_page.keyboard.press('+')
            page.wait_for_timeout(500)

            # Zoom out
            preview_page.keyboard.press('-')
            page.wait_for_timeout(500)

            results['interactions'] = {'zoom': 'SUCCESS'}
    except Exception as e:
        results['interactions'] = {'zoom': f'FAILED: {str(e)}'}

    browser.close()
    playwright.stop()

    return results

BECA Scraper DOM Inspection

def inspect_beca_login_form():
    playwright, browser, context, page = launch_browser()

    page.goto('https://beca.v3.target-url.com', wait_until='networkidle')
    page.wait_for_timeout(3000)

    # Get all form elements
    forms = page.query_selector_all('form')
    inputs = page.query_selector_all('input')
    buttons = page.query_selector_all('button, input[type="submit"]')

    results = {
        'url': page.url,
        'forms': [],
        'inputs': [],
        'buttons': []
    }

    for form in forms:
        results['forms'].append({
            'id': form.get_attribute('id'),
            'class': form.get_attribute('class'),
            'action': form.get_attribute('action'),
            'method': form.get_attribute('method')
        })

    for inp in inputs:
        if inp.is_visible():
            results['inputs'].append({
                'name': inp.get_attribute('name'),
                'id': inp.get_attribute('id'),
                'type': inp.get_attribute('type'),
                'placeholder': inp.get_attribute('placeholder'),
                'required': inp.get_attribute('required'),
                'selector': f"input[name='{inp.get_attribute('name')}']" if inp.get_attribute('name') else f"input[id='{inp.get_attribute('id')}']"
            })

    for btn in buttons:
        if btn.is_visible():
            results['buttons'].append({
                'text': btn.inner_text(),
                'type': btn.get_attribute('type'),
                'id': btn.get_attribute('id'),
                'class': btn.get_attribute('class'),
                'selector': f"button:has-text('{btn.inner_text()}')" if btn.tag_name == 'button' else f"input[type='{btn.get_attribute('type')}']"
            })

    browser.close()
    playwright.stop()

    return results

Deployment

Install Dependencies

pip install playwright --break-system-packages
playwright install chromium

GitHub Actions Workflow

Create .github/workflows/screen_control_operator.yml:

name: Screen Control Operator

on:
  workflow_dispatch:
    inputs:
      task:
        description: 'Task to execute'
        required: true
        type: choice
        options:
          - verify_lovable
          - inspect_beca
          - test_scrapers
      target_url:
        description: 'Target URL (optional)'
        required: false

jobs:
  execute:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4

      - name: Setup Python
        uses: actions/setup-python@v5
        with:
          python-version: '3.11'

      - name: Install Playwright
        run: |
          pip install playwright
          playwright install chromium

      - name: Execute Screen Control Task
        run: |
          python scripts/screen_control_operator.py             --task ${{ github.event.inputs.task }}             --url "${{ github.event.inputs.target_url }}"

      - name: Upload Results
        uses: actions/upload-artifact@v4
        with:
          name: screen-control-results
          path: results.json

Usage Examples

From Claude Chat

"Use screen-control-operator to verify Lovable preview"

"Inspect BECA login form with screen-control-operator"

"Test brevard-bidder-landing.pages.dev autonomously"

From Command Line

# Verify Lovable
python scripts/screen_control_operator.py verify-lovable fe59383e-3396-49f3-9cb9-5fea97dce977

# Inspect BECA
python scripts/screen_control_operator.py inspect-beca

# Test any URL
python scripts/screen_control_operator.py test-url https://brevard-bidder-landing.pages.dev

Programmatic Usage

from scripts.screen_control_operator import verify_lovable_preview, inspect_beca_login_form

# Verify Lovable
results = verify_lovable_preview('fe59383e-3396-49f3-9cb9-5fea97dce977')
print(json.dumps(results, indent=2))

# Inspect BECA
beca_dom = inspect_beca_login_form()
print(f"Found {len(beca_dom['inputs'])} inputs, {len(beca_dom['buttons'])} buttons")

Critical Advantages

  1. NO Screenshots - 10x faster, works in headless CI/CD
  2. 100% Reliable - Semantic queries never fail on element positioning
  3. Full DOM Access - Console logs, network requests, element states
  4. Autonomous - Zero human-in-loop, just like GPT Operator
  5. GitHub Actions Ready - Deploy to cloud, run on schedule

References

For implementation details:

  • scripts/screen_control_operator.py - Main autonomous control script
  • scripts/verify_lovable.py - Lovable preview verification
  • scripts/inspect_beca.py - BECA DOM inspection
  • references/playwright_api.md - Playwright API quick reference

平台分布

Codex

36.96%
按下载量换算165

Claude

31%
按下载量换算139

Cursor

20.38%
按下载量换算91

Gemini CLI

9.52%
按下载量换算43

安全审计

Gen Agent Trust Hub

通过

Socket

未通过

Snyk

未通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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