/install lybic-sandbox
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:
-
Manage Sandboxes
- Create sandboxes (Windows/Linux/Android)
- List, get details, and delete sandboxes
- Monitor sandbox state and lifecycle
-
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
-
Execute Code and Commands
- Run Python, Node.js, Go, Rust, Java code
- Execute shell commands and scripts
- Handle stdin/stdout/stderr with base64 encoding
-
Manage Files
- Download files from URLs into sandbox
- Copy files within sandbox or between locations
- Read and write files in sandbox
-
Network Operations
- Create HTTP port mappings
- Forward sandbox ports to public URLs
- Enable external access to sandbox services
-
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 IDLYBIC_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
- Use fractional coordinates: More portable across different screen resolutions
- Take screenshots: Help verify GUI state before and after actions
- Handle errors: Always wrap API calls in try-except blocks
- Clean up resources: Delete sandboxes when done to avoid charges
- Base64 encode I/O: Remember stdin/stdout use base64 encoding
- Check exit codes: Use
exitCodeto 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
- Sandbox not ready: Wait longer after creation, check status with
get() - Action fails: Verify coordinates are within screen bounds
- Process timeout: Long-running processes need special handling (see docs)
- File not found: Ensure paths exist in sandbox before accessing
- 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
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install lybic-sandbox - 安装完成后,直接呼叫该 Skill 的名称或使用
/lybic-sandbox触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Lybic Sandbox 是什么?
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. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 1187 次。
如何安装 Lybic Sandbox?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install lybic-sandbox」即可一键安装,无需额外配置。
Lybic Sandbox 是免费的吗?
是的,Lybic Sandbox 完全免费(开源免费),可自由下载、安装和使用。
Lybic Sandbox 支持哪些平台?
Lybic Sandbox 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Lybic Sandbox?
由 lybic(@aenjoy)开发并维护,当前版本 v0.1.3。