Skip to main content

A desktop interaction tool that allows AI agents like Claude Code or OpenAI Codex to control web browsers and interact with desktop applications through natural language commands.

Project description

Skipper

A desktop interaction tool that allows AI agents like Claude Code or OpenAI Codex to control web browsers and interact with desktop applications through natural language commands.

Overview

Skipper enables AI agents to:

  • View and navigate the web using your own browser
  • Navigate to URLs
  • Execute mouse clicks, keyboard input, and scrolling actions
  • [SOON] Interact with any desktop application through natural language prompts

The Vision

Skipper is a command line tool that gives AI agents the ability to interact with your browser/desktop. Unlike all-in-one computer use tools, Skipper takes the unix philosophy of "do one thing and do it well". Specifically, it is designed to be the "hands" of the AI agent, instead of the "brain".

Our architecture is designed to be privacy-preserving in the future. If the tool ends up being useful, we have designed the architecture to be possible to run locally only. The only sensitive information that would go to the cloud would be in text to the LLM agent, which could be censored or modified as necessary for privacy.

Installation

Prerequisites

  • Python 3.9 or higher
  • Chrome/Chromium browser with remote debugging enabled
  • Gemini API key (for AI-powered interactions)
  • Either
    • A computer capable of running OmniParser
    • An API key for Skipper to run this stage remotely

Install Skipper

# Install
pip install skipper-tool

# (Optional) Install with local dependencies
pip install 'skipper-tool[local]'

Setup Chrome Remote Debugging

  1. Start Chrome with remote debugging enabled:
# macOS
/Applications/Google\ Chrome.app/Contents/MacOS/Google\ Chrome --remote-debugging-port=9222

# Linux
google-chrome --remote-debugging-port=9222

# Windows
"C:\Program Files\Google\Chrome\Application\chrome.exe" --remote-debugging-port=9222
  1. Keep Chrome running in the background while using skipper_tool.

Setup Initial Configuration

# Create a configuration file
skipper init --config

# This will prompt for your Gemini and Skipper API keys and create ~/.skipperrc

Usage

Skipper provides three main commands for AI agents:

1. View Window State

skipper view

Returns the current state of the active browser window, including:

  • Page title and URL
  • A simplified HTML representation of the page

2. Navigate to URL

skipper navigate --url "https://example.com"

Navigates the browser to the specified URL and returns the new page state.

3. Execute Commands

skipper command --command_type <type> --prompt "<description>"

Execute actions on the current page:

  • Click: skipper command --command_type click --prompt "Click the login button"
  • Type: skipper command --command_type type --prompt "Enter username: john.doe<Enter>"
  • Scroll: skipper command --command_type scroll --prompt "Scroll down"

Integration with Claude Code

Skipper is designed to work seamlessly with Claude Code and other AI agents. To integrate it, simply usage information to your agent's configuration, such as CLAUDE.md or AGENT.md. For an example AGENT.md file, see EXAMPLE.AGENT.md.

Advanced Features

Debug Mode

Enable debug logging to save screenshots and detailed logs:

# Set debug folder in ~/.skipperrc
[debug]
enabled = true
folder = "/path/to/debug/folder"

# Or use environment variable
export SKIPPER_DEBUG_FOLDER="/path/to/debug/folder"

Local AI Models

For enhanced privacy, you can use local AI models:

# Install local dependencies
pip install 'skipper-tool[local]'

# Configure local model paths in ~/.skipperrc
[models]
yolo_model_path = "/path/to/local/model.pt"

Custom Configuration

Edit ~/.skipperrc to customize:

[models]
screenshot_model = "gemini-2.5-flash"
ui_element_model = "gemini-2.5-pro"

[browser]
cdp_url = "http://localhost:9222"
context_index = 0
page_index = 0

[ui_interaction]
click_delay_seconds = 1.0
scroll_distance = 600
mouse_scale_factor = 0.5

Troubleshooting

Common Issues

  1. Chrome not responding: Ensure Chrome is running with --remote-debugging-port=9222
  2. API key errors: Set GEMINI_API_KEY environment variable or add to ~/.skipperrc
  3. Permission errors: Check that Skipper has access to the browser and debug port
# Enable verbose logging
export SKIPPER_DEBUG_FOLDER="/tmp/skipper-debug"
skipper view

# Check logs in the debug folder
ls /tmp/skipper-debug/

Security Considerations

  • Skipper requires access to your browser and can execute actions on your behalf
  • API keys are stored locally in ~/.skipperrc
  • Debug mode saves screenshots locally - ensure the debug folder is secure
  • Only use with trusted AI agents

Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Add tests if applicable
  5. Submit a pull request

License

AGPL

Support

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

skipper_tool-0.1.7.tar.gz (34.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

skipper_tool-0.1.7-py3-none-any.whl (41.8 kB view details)

Uploaded Python 3

File details

Details for the file skipper_tool-0.1.7.tar.gz.

File metadata

  • Download URL: skipper_tool-0.1.7.tar.gz
  • Upload date:
  • Size: 34.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.5.16

File hashes

Hashes for skipper_tool-0.1.7.tar.gz
Algorithm Hash digest
SHA256 7f0da37285fbff0cd370a6a99133337ad6604ae2f060d59c427d0b96b47e4ebb
MD5 4c66c05963ee99f9b20ebc42b03cfce7
BLAKE2b-256 5f785508b0d75e98a2412801faae7f0ac8c5633ccd40ce7088e1554f3a9cb90f

See more details on using hashes here.

File details

Details for the file skipper_tool-0.1.7-py3-none-any.whl.

File metadata

File hashes

Hashes for skipper_tool-0.1.7-py3-none-any.whl
Algorithm Hash digest
SHA256 17a635005e76e3a994ff9092cc8513219c5ab50be64f9ed9b4eaba363ff30a75
MD5 1b96a8adb682b8646aa6a64c19138526
BLAKE2b-256 6a21322859a238a9e4ab0fed44706d852bd9a98215011d5a0b98808c017e8b1e

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page