A streamlined CLI toolkit for camoufox and agent-browser designed to simplify anti-detection web automation and high-performance data scraping.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install camoufox-tools
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install camoufox-tools using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
camoufox-tools is a robust utility suite that wraps the camoufox anti-detection browser and agent-browser into a simplified command-line interface. Designed for developers who need to navigate sophisticated bot-mitigation systems, this Openclaw Skills package provides a seamless way to automate browser tasks without getting caught by fingerprinting or security checks on platforms like Bilibili. It abstracts away complex browser flags, allowing users to focus on data extraction and interaction logic.
By leveraging camoufox—a specialized Firefox fork—and the agent-browser extension, this skill ensures that automated sessions appear indistinguishable from authentic human browsing. Whether you are running headless scrapes or headed interactive sessions, camoufox-tools handles the heavy lifting of process management and configuration, making it a vital addition to any Openclaw Skills collection.
To install the tools and integrate them into your environment, run the provided installation script within your Openclaw Skills workspace:
cd ~/.openclaw/workspace/skills/camoufox-tools
./install.sh
Alternatively, you can manually add the bin directory to your shell configuration:
export PATH="$HOME/.openclaw/workspace/skills/camoufox-tools/bin:$PATH"
If your camoufox installation is in a non-standard location, define the path using an environment variable:
export CAMOUFOX_PATH=/path/to/camoufox
The skill returns data based on the specific command executed, facilitating easy integration into larger data pipelines:
| Feature | Output Type | Description |
|---|---|---|
| Content Scraping | Markdown/Text | Raw or filtered content from fox-scrape |
| Script Execution | JSON/String | Return values from custom JS executed via fox-eval |
| Platform Stats | Formatted List | Structured metrics including views, likes, and shares from Bilibili |
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