A stealth-focused browser automation tool that uses Camoufox to bypass bot detection on high-security websites.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install camoufox
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install camoufox using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Camoufox?
Camoufox is a high-performance anti-detect browser skill built on a hardened Firefox engine. It is designed specifically for Openclaw Skills users who need to automate interactions with websites that employ aggressive bot-detection mechanisms, such as X/Twitter or Naver. Unlike standard headless browsers, Camoufox focuses on stealth by providing comprehensive OS and browser fingerprint spoofing, humanized interaction patterns, and persistent session management.
By integrating this skill into your workflow, you gain the ability to perform complex web automation tasks that would otherwise be blocked by modern security filters. It serves as a superior alternative to default Playwright or Chrome configurations, ensuring your agents can maintain access to protected data sources while mimicking authentic human browsing behavior.
Camoufox Use Cases
- Scraping data from high-security social media platforms like X/Twitter.
- Automating interactions on region-locked or protected portals like Naver.
- Maintaining long-term authenticated sessions without frequent re-logins.
- Bypassing fingerprinting-based bans during large-scale data collection.
- Running automated tests that require genuine browser fingerprints to pass security checks.
How Camoufox Works
- Initialize the environment by installing system dependencies and setting up a dedicated Python virtual environment.
- Launch the browser using a virtual frame buffer (Xvfb) to allow non-headless operation in a server environment, which is crucial for avoiding detection.
- Configure the Camoufox engine to match the host OS to prevent stack trace leaks that reveal the use of automation tools.
- Utilize the humanize feature to simulate natural mouse movements and scrolling speeds during the session.
- Save and load session data from a persistent profile directory, allowing cookies and local storage to persist across multiple automation runs.
Camoufox Setup
To get started with this skill in your environment, follow these steps:
# One-time setup to install necessary dependencies
bash scripts/setup.sh
# Activate the specialized virtual environment
source ~/.openclaw/workspace/camoufox-env/bin/activate
# Run your automation script using Xvfb for stealth
xvfb-run -a --server-args="-screen 0 1920x1080x24" python3 your_script.py
Camoufox Data Schema & Taxonomy
The skill organizes its environment and session data across the following directory structure:
| Path | Description |
|---|---|
~/.openclaw/workspace/camoufox-env/ |
The virtual environment containing all Python dependencies. |
~/.openclaw/camoufox-profile/ |
Directory for persistent browser data, including cookies and site preferences. |
scripts/ |
Contains utility scripts for setup, browsing, and manual session handling. |
Camoufox Advanced Features
- Hardware and OS Fingerprint Spoofing: Prevents websites from identifying automation through system-level leaks.
- Humanized Interaction: Automatically injects realistic mouse movements and interaction delays.
- VNC-based Manual Intervention: Allows developers to manually solve CAPTCHAs via the login_session.py script, saving the resulting session for future automated use.
- Persistent Context: Supports long-running tasks by maintaining a consistent user profile across different execution cycles.
- Firefox-based Engine: Provides a unique browsing signature that is often less targeted by automated bot-detection scripts than Chromium-based tools.
SKILL.md
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