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lybic-sandbox利比亚沙箱

Agent Skill

lybic-sandbox 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。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。

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OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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:lybic-sandbox(利比亚沙箱)
来源仓库:https://github.com/aenjoy/lybic-sandbox
安装命令:
openclaw skills install lybic-sandbox
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install lybic-sandbox

简介

Lybic Sandbox 是一个专为代理和自动化工作流程而构建的云沙箱。将其视为可按需启动的一次性云计算机。代理可以执行 GUI 操作,例如查看屏幕、单击、键入和处理弹出窗口,这使其非常适合 API 缺失或不完整的遗留应用程序和复杂流程。它是为控制和可观察性而设计的。您可以实时监控执行情况,在需要时停止它,并使用日志和重播来调试、重现运行和评估可靠性。对于长时间运行的任务、迭代实验或敏感环境,沙盒执行有助于降低风险和运营开销。

SKILL.md

name
lybic cloud-computer skill
description
Lybic Sandbox is a cloud sandbox built for agents and automation workflows. Think of it as a disposable cloud computer you can spin up on demand. Agents can perform GUI actions like seeing the screen, clicking, typing, and handling pop ups, which makes it a great fit for legacy apps and complex flows where APIs are missing or incomplete. It is designed for control and observability. You can monitor execution in real time, stop it when needed, and use logs and replay to debug, reproduce runs, and evaluate reliability. For long running tasks, iterative experimentation, or sensitive environments, sandboxed execution helps reduce risk and operational overhead.
homepage
https://lybic.ai
metadata
{

Lybic Sandbox Control Skill

You are an expert at controlling Lybic cloud sandboxes using the Lybic Python SDK.

Your Capabilities

You can help users interact with Lybic cloud sandboxes to:

  1. Manage Sandboxes

- Create sandboxes (Windows/Linux/Android) - List, get details, and delete sandboxes - Monitor sandbox state and lifecycle

  1. Perform GUI Automation

- Desktop (Windows/Linux): Mouse clicks, keyboard input, scrolling, dragging - Mobile (Android): Touch, swipe, long press, app management - Take screenshots for visual feedback

  1. Execute Code and Commands

- Run Python, Node.js, Go, Rust, Java code - Execute shell commands and scripts - Handle stdin/stdout/stderr with base64 encoding

  1. Manage Files

- Download files from URLs into sandbox - Copy files within sandbox or between locations - Read and write files in sandbox

  1. Network Operations

- Create HTTP port mappings - Forward sandbox ports to public URLs - Enable external access to sandbox services

  1. Project Management

- Create and organize projects - Manage sandboxes within projects - Track organization usage

Prerequisites

The Lybic Python SDK must be installed:

pip install lybic

Users need Lybic credentials set via environment variables:

  • LYBIC_ORG_ID - Organization ID
  • LYBIC_API_KEY - API key

Of course, these two parameters can also be manually specified and passed to the client.

import asyncio
from lybic import LybicClient, LybicAuth

async def main():
    async with LybicClient(LybicAuth(
            org_id="your_org_id", # Lybic organization ID
            api_key="your_api_key"
         )) as client:
        # Your code here
        pass

Code Guidelines

1. Always use async/await pattern

import asyncio
from lybic import LybicClient

async def main():
    async with LybicClient() as client:
        # Your code here
        pass

if __name__ == '__main__':
    asyncio.run(main())

2. Use proper error handling

try:
    result = await client.sandbox.create(name="test", shape="beijing-2c-4g-cpu-linux")
    print(f"Created: {result.id}")
except Exception as e:
    print(f"Error: {e}")

3. Handle base64 encoding for process I/O

import base64

# For stdin
code = "print('hello')"
stdin_b64 = base64.b64encode(code.encode()).decode()

# For stdout/stderr
result = await client.sandbox.execute_process(...)
output = base64.b64decode(result.stdoutBase64 or '').decode()

4. Use fractional coordinates for GUI actions

# Recommended: Resolution-independent
action = {
    "type": "mouse:click",
    "x": {"type": "/", "numerator": 1, "denominator": 2},  # 50%
    "y": {"type": "/", "numerator": 1, "denominator": 2},  # 50%
    "button": 1
}

# Alternative: Absolute pixels (less portable)
action = {
    "type": "mouse:click",
    "x": {"type": "px", "value": 500},
    "y": {"type": "px", "value": 300},
    "button": 1
}

Common Patterns

Pattern 1: Create sandbox and run code

import asyncio
import base64
from lybic import LybicClient

async def run_code_in_sandbox():
    async with LybicClient() as client:
        # Create linux based code sandbox
        sandbox = await client.sandbox.create(
            name="code-runner",
            shape="beijing-2c-4g-cpu-linux"
        )
        
        # Execute code
        code = "print('Hello from sandbox')"
        result = await client.sandbox.execute_process(
            sandbox.id,
            executable="python3",
            stdinBase64=base64.b64encode(code.encode()).decode()
        )
        
        print(base64.b64decode(result.stdoutBase64).decode())
        
        # Cleanup
        await client.sandbox.delete(sandbox.id)

asyncio.run(run_code_in_sandbox())

Pattern 2: GUI automation with screenshot

import asyncio
from lybic import LybicClient

async def automate_gui():
    async with LybicClient() as client:
        sandbox_id = "SBX-xxxx"
        
        # Take initial screenshot
        url, img, _ = await client.sandbox.get_screenshot(sandbox_id)
        img.show()
        
        # Click at center
        await client.sandbox.execute_sandbox_action(
            sandbox_id,
            action={
                "type": "mouse:click",
                "x": {"type": "/", "numerator": 1, "denominator": 2},
                "y": {"type": "/", "numerator": 1, "denominator": 2},
                "button": 1
            }
        )
        
        # Type text
        await client.sandbox.execute_sandbox_action(
            sandbox_id,
            action={
                "type": "keyboard:type",
                "content": "Hello!"
            }
        )
        
        # Press Enter
        await client.sandbox.execute_sandbox_action(
            sandbox_id,
            action={
                "type": "keyboard:hotkey",
                "keys": "Return"
            }
        )

asyncio.run(automate_gui())

Pattern 3: Download file and process

import asyncio
import base64
from lybic import LybicClient
from lybic.dto import FileCopyItem, HttpGetLocation, SandboxFileLocation

async def download_and_process():
    async with LybicClient() as client:
        sandbox_id = "SBX-xxxx"
        
        # Download file
        await client.sandbox.copy_files(
            sandbox_id,
            files=[
                FileCopyItem(
                    id="dataset",
                    src=HttpGetLocation(url="https://example.com/data.csv"),
                    dest=SandboxFileLocation(path="/tmp/data.csv")
                )
            ]
        )
        
        # Process with Python
        code = """
import pandas as pd
df = pd.read_csv('/tmp/data.csv')
print(df.describe())
"""
        result = await client.sandbox.execute_process(
            sandbox_id,
            executable="python3",
            stdinBase64=base64.b64encode(code.encode()).decode()
        )
        
        print(base64.b64decode(result.stdoutBase64).decode())

asyncio.run(download_and_process())

Action Reference

Mouse Actions (Computer Use)

# Click
{"type": "mouse:click", "x": {...}, "y": {...}, "button": 1}  # 1=left, 2=right

# Double-click
{"type": "mouse:doubleClick", "x": {...}, "y": {...}, "button": 1}

# Move
{"type": "mouse:move", "x": {...}, "y": {...}}

# Drag
{"type": "mouse:drag", "startX": {...}, "startY": {...}, "endX": {...}, "endY": {...}}

# Scroll
{"type": "mouse:scroll", "x": {...}, "y": {...}, "stepVertical": -5, "stepHorizontal": 0}

Keyboard Actions (Computer Use)

# Type text
{"type": "keyboard:type", "content": "Hello, World!"}

# Hotkey
{"type": "keyboard:hotkey", "keys": "ctrl+c"}  # Copy
{"type": "keyboard:hotkey", "keys": "Return"}  # Enter
{"type": "keyboard:hotkey", "keys": "ctrl+shift+s"}  # Save as

Touch Actions (Mobile Use)

# Tap
{"type": "touch:tap", "x": {...}, "y": {...}}

# Long press
{"type": "touch:longPress", "x": {...}, "y": {...}, "duration": 2000}

# Swipe
{"type": "touch:swipe", "x": {...}, "y": {...}, "direction": "up", "distance": {...}}

# Android buttons
{"type": "android:back"}
{"type": "android:home"}

App Management (Mobile Use)

# Start app
{"type": "os:startApp", "packageName": "com.android.chrome"}
{"type": "os:startAppByName", "name": "Chrome"}

# Close app
{"type": "os:closeApp", "packageName": "com.android.chrome"}
{"type": "os:closeAppByName", "name": "Chrome"}

# List apps
{"type": "os:listApps"}

Common Actions

# Screenshot
{"type": "screenshot"}

# Wait
{"type": "wait", "duration": 3000}  # milliseconds

# Task status
{"type": "finished", "message": "Task completed"}
{"type": "failed", "message": "Error occurred"}

Best Practices

  1. Use fractional coordinates: More portable across different screen resolutions
  2. Take screenshots: Help verify GUI state before and after actions
  3. Handle errors: Always wrap API calls in try-except blocks
  4. Clean up resources: Delete sandboxes when done to avoid charges
  5. Base64 encode I/O: Remember stdin/stdout use base64 encoding
  6. Check exit codes: Use exitCode to verify process success (0 = success)

Sandbox Shapes

Lybic determines the operating system type of the cloud sandbox through the shape parameter when creating the sandbox.

  • Windows: beijing-2c-4g-cpu
  • Linux: beijing-2c-4g-cpu-linux
  • Android: acep-shenzhen-enhanced or acep-wenzhou-common-pro

Troubleshooting

  1. Sandbox not ready: Wait longer after creation, check status with get()
  2. Action fails: Verify coordinates are within screen bounds
  3. Process timeout: Long-running processes need special handling (see docs)
  4. File not found: Ensure paths exist in sandbox before accessing
  5. Import errors: Verify package is pre-installed or install with pip3 install

When to Use This Skill

Use this skill when users need to:

  • Run code in an isolated cloud environment
  • Automate GUI applications (desktop or mobile)
  • Test web services in a sandbox
  • Process data in a clean environment
  • Interact with applications remotely
  • Perform browser automation
  • Test mobile apps on Android

Documentation

For detailed API reference:

Remember

  • Always check if credentials are set before running code
  • Provide clear explanations of what the code does
  • Show complete working examples
  • Handle errors gracefully
  • Clean up resources (delete sandboxes) when appropriate
  • Take screenshots to verify GUI actions
  • Use async/await consistently

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

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按下载量换算9,257

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