A secure, sandboxed execution environment for managing ROS 2 controller lifecycles, hardware states, and parameter profiles.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ros2-control-execution
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 ros2-control-execution 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 ROS 2 Control Execution?
The ROS 2 Control Execution skill is a specialized tool designed to interact with the ros2_control framework safely. As part of the Openclaw Skills ecosystem, it provides a high-security interface for modifying the ROS 2 control graph, enabling users to load, start, stop, and switch controllers without compromising system integrity.
By leveraging a dedicated wrapper script, this skill ensures that all commands are validated against a strict allowlist. This sandboxed approach makes it an ideal choice for developers looking to integrate robotics hardware control into automated workflows using Openclaw Skills, ensuring that command injection risks are mitigated while maintaining full operational flexibility.
ROS 2 Control Execution Use Cases
- Dynamically switching between motion controllers in a live robotics environment.
- Automating the deployment and configuration of hardware components using Openclaw Skills.
- Safely reloading controller libraries during development and testing phases.
- Implementing complex robotics state transitions through parameter-driven profiles.
How ROS 2 Control Execution Works
- The user or AI agent selects a target ROS 2 control action, such as loading or switching a controller.
- The command is passed to the safe_ros2_control_execution.py wrapper script included in the Openclaw Skills directory.
- The wrapper validates the subcommand and arguments against a predefined security allowlist.
- Validated commands are executed via a secure Python subprocess call (shell=False) to prevent shell-based attacks.
- The skill captures the ROS 2 output and returns the execution status to the calling environment.
ROS 2 Control Execution Setup
To integrate this skill into your Openclaw Skills workspace, ensure your environment is correctly configured:
- Source your ROS 2 distribution and project workspace:
source /opt/ros/<distro>/setup.bash
source ~/my_ros_ws/install/setup.bash
- Run the provided setup script to initialize the environment:
./scripts/setup.sh
ROS 2 Control Execution Data Schema & Taxonomy
The skill manages data through standardized ROS 2 CLI flags and specific parameter profiles. The following table describes the data organization:
| Data Type | Usage | Description |
|---|---|---|
| Subcommands | Execution | Actions like load_controller, switch_controllers, and set_controller_state. |
| Native Flags | Configuration | standard ROS 2 flags (e.g., -c for controller_manager). |
| Parameter Profiles | Optimization | Named profiles used to pass complex --ros-args for tuning. |
| Wrapper Script | Security | The safe_ros2_control_execution.py script acts as the primary data gateway. |
ROS 2 Control Execution Advanced Features
- Sandboxed execution environment using a dedicated Python security wrapper.
- Support for complex parameter profiles to handle specialized tuning requirements.
- Hardware component state management for fine-grained control of robotics peripherals.
- Full compatibility with the broader suite of Openclaw Skills for multi-agent robotics coordination.
SKILL.md
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