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Agent Skill · 开发

lybic-sandbox(利比亚沙箱)

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。

lybic-sandbox 是开发类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在开发类的 21,746 个 Skill 里排第 1,130。

总安装 39,012周安装 1,563GitHub Stars 公开资料未说明下载 12,629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
MIT-0
版本
0.1.3

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

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

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。

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 OpenClaw;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 openclaw skills install lybic-sandbox;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

    它需要接触敏感数据,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

lybic-sandbox 怎么安装?

在终端执行 openclaw skills install lybic-sandbox。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

lybic-sandbox 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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。

lybic-sandbox 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

lybic-sandbox 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

lybic-sandbox 用的人多吗?

公开数据是累计安装 39,012 次,近一周安装 1,563 次,下载 12,629 次。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。

lybic-sandbox 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 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 OpenClaw,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
lybic-sandbox

利比亚沙箱 · 本页

39,012—接触敏感数据MIT-0有提醒

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

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

平台分布

OpenClaw

73.3%
按下载量换算9,257

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

未展示

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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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