Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
Version History
- No feature or API changes; documentation improvements only.
What This Skill Does
PaperPod provides isolated sandboxes with a full Linux environment for running code, automating browsers, and calling AI models. Access is via CLI or HTTP with no SDK required. New accounts get $5 in free compute billed at $0.0001 per second.
Combines code execution, browser automation, AI inference, and 50+ pre-installed tools in one service accessible by CLI or HTTP without requiring any SDK or pre-configured API keys.
When to use it
- Running Python or Node.js scripts without local environment setup
- Exposing a development server to a public URL for live testing
- Scraping a webpage and extracting its content as markdown
- Processing video or image files with ffmpeg or ImageMagick remotely
- Persisting agent state between sessions using built-in memory storage
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Fetch the rendered content of a webpage and save it as a PDF
- 1Authenticates using ppod login with a session token
- 2Runs ppod browser:content to fetch rendered HTML from the target URL
- 3Runs ppod browser:pdf to generate a PDF from the same URL
- 4Stores the output file path with ppod mem:write for later retrieval
A PDF of the webpage saved to persistent sandbox memory
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.