paperpod

Browser & Automation
v2.0.3
Benign

Isolated agent runtime for code execution, live preview URLs, browser automation, 50+ tools (ffmpeg, sqlite.

21.2K downloads1.2K installsby @shassingh09

Setup & Installation

Install command

clawhub install shassingh09/paperpod

If the CLI is not installed:

Install command

npx clawhub@latest install shassingh09/paperpod

Or install with OpenClaw CLI:

Install command

openclaw skills install shassingh09/paperpod

or paste the repo link into your assistant's chat

Install command

https://github.com/openclaw/skills/tree/main/skills/shassingh09/paperpod

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.

INPUT

User asks: Running Python or Node.js scripts without local environment setup

AGENT
  1. 1Running Python or Node.js scripts without local environment setup
  2. 2Exposing a development server to a public URL for live testing
  3. 3Scraping a webpage and extracting its content as markdown
  4. 4Processing video or image files with ffmpeg or ImageMagick remotely
  5. 5Persisting agent state between sessions using built-in memory storage
OUTPUT
Isolated agent runtime for code execution, live preview URLs, browser automation, 50+ tools (ffmpeg, sqlite.

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Details

LanguageMarkdown
Last updatedFeb 28, 2026