A direct interface for executing system-level shell commands and binary tools within the thundarr-gpu container environment.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install exec-local
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 exec-local 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 Thundarr Execution Bridge (Local)?
The Thundarr Execution Bridge (Local) is a robust skill designed to provide low-latency shell access within specialized containerized environments. By operating directly inside the thundarr-gpu container on Garuda, it enables developers to interact with the underlying system, execute binaries, and manage scripts with high efficiency. This tool is a foundational part of the Openclaw Skills ecosystem, specifically optimized for users who need a bridge between high-level AI orchestration and low-level system operations.
Beyond simple command execution, this skill serves as a critical jump-point for broader infrastructure management. It facilitates the orchestration of host machines, such as the Fedora UM250, through specialized remote scripts. Whether you are performing routine maintenance or building complex automation pipelines, this skill ensures that your Openclaw Skills have the necessary system-level permissions and performance to succeed.
Thundarr Execution Bridge (Local) Use Cases
- Low-latency execution of binary tools and local shell scripts within GPU-optimized containers.
- Remote host orchestration for managing Fedora UM250 systems via SSH jump-points.
- Real-time resource monitoring of container health, process tables, and network availability.
- Automation of diagnostic routines between different Docker nodes in a cluster.
How Thundarr Execution Bridge (Local) Works
- The skill receives shell commands through a secure interface designed for Openclaw Skills.
- Commands are routed to the execution engine inside the thundarr-gpu container environment.
- The process is executed using the standard permissions of the container user to maintain security boundaries.
- Standard output and error logs are captured in real-time and passed back to the requesting agent.
- For host-level tasks, the bridge invokes the thundarr-remote SSH script to securely transition commands to the Fedora UM250 host.
Thundarr Execution Bridge (Local) Setup
To deploy the execution bridge, ensure your container environment is properly configured. You can initialize the environment and verify the connection using the following commands:
# Verify your container environment status
docker ps | grep thundarr-gpu
# Test the execution bridge connectivity
./exec_local --ping
Ensure that the necessary SSH keys are present if you intend to use the remote orchestration features of these Openclaw Skills.
Thundarr Execution Bridge (Local) Data Schema & Taxonomy
The Thundarr Execution Bridge manages execution metadata and system response data as follows:
| Attribute | Type | Description |
|---|---|---|
| execution_id | String | Unique identifier for the command session |
| shell_input | String | The raw shell command or script path executed |
| exit_status | Integer | The OS return code (e.g., 0 for success) |
| output_stream | String | Combined stdout and stderr logs |
| node_context | Object | Metadata regarding the Garuda or Fedora host state |
Thundarr Execution Bridge (Local) Advanced Features
- Multi-node orchestration support for managing federated Docker environments.
- Integrated thundarr-remote script support for seamless host-to-container command bridging.
- Resource-aware monitoring hooks to trigger automated scaling or recovery.
- Low-latency binary execution path optimized for Openclaw Skills automation workflows.
SKILL.md
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