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run

The universal execution primitive for AI agents. A secure, sandboxed environment designed to compile, execute, and manage code, scripts, and automated workflows in real-time. The "hand" of the agent.

Why use this skill?

Power your AI agents with Run, the universal execution primitive. Secure, sandboxed environment for code, scripts, and automated workflows across multiple languages.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/btcagentic/run
Or

What This Skill Does

The 'run' skill serves as the primary execution engine for OpenClaw AI agents, acting as the bridge between theoretical planning and tangible action. It provides a secure, polyglot environment (supporting Python, JavaScript, Rust, Bash, and SQL) where code is executed within isolated, hardware-level sandboxes using gVisor and Firecracker. This skill is the 'hand' of your agent, ensuring that tasks like data processing, system administration, and workflow automation are performed reliably without exposing the host system to security risks.

Installation

To integrate the execution environment into your agent, execute the following command in your terminal: clawhub install openclaw/skills/skills/btcagentic/run Once installed, the agent will automatically gain the capability to manage, sandbox, and track code execution sessions across multiple languages.

Use Cases

This skill is highly versatile, supporting a wide range of operational requirements:

  • Data Science: Automating complex regression analyses or data transformations on local or cloud-hosted datasets.
  • Web Scraping: Executing distributed scraping scripts that handle pagination, rate limiting, and data extraction into structured formats.
  • System Automation: Managing infrastructure via cron-based event triggers or monitoring health status with automated cleanup scripts.
  • Rapid Prototyping: Testing snippets of code, algorithms, or API integrations in a throwaway environment that mimics production settings.

Example Prompts

  1. "Run a Python script to analyze the attached CSV file; calculate the moving average and generate a chart for the last 30 days."
  2. "Run this bash script every day at 8:00 AM to clear temporary cache directories and optimize local storage usage."
  3. "Run a web scraping task for these target URLs and save the resulting product pricing data into a JSON file."

Tips & Limitations

  • Security: Always define your network access policies. While the sandbox is secure, the agent is restricted by default; you must explicitly authorize outbound requests for network-dependent tasks.
  • Performance: For high-load tasks, utilize the persistent session management feature to avoid overhead associated with initializing new execution containers.
  • Governance: Be aware that high-risk commands (e.g., system-level deletions) trigger a 'human-in-the-loop' workflow, requiring your approval before execution proceeds. Do not attempt to run tasks requiring GUI interaction, as this environment is optimized for headless, non-interactive execution.

Metadata

Stars3500
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Updated2026-03-27
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-btcagentic-run": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#execution#sandbox#automation#developer-tools#polyglot
Safety Score: 4/5

Flags: network-access, file-write, file-read, code-execution

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