A secure, read-only introspection tool for monitoring ROS 2 Control hardware, controllers, and interfaces.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ros2-control-introspection
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-introspection 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 Introspection?
This Openclaw Skills extension provides a sandboxed interface for inspecting the ros2_control architecture within a ROS 2 system. It enables developers and AI agents to query the status of controllers, hardware components, and interfaces without the risk of modifying the system state, ensuring operational safety during debugging and monitoring phases. By wrapping native ROS 2 commands, it maintains a strict security perimeter while providing rich diagnostic data to the agent.
ROS 2 Control Introspection Use Cases
- Monitoring active hardware interfaces and controller states in a production or development ROS 2 environment.
- Debugging complex controller chain hierarchies using the Openclaw Skills ecosystem for automated diagnostics.
- Auditing available hardware components and controller types within a sandboxed runtime to prevent unauthorized system changes.
How ROS 2 Control Introspection Works
- The user sources the required ROS 2 workspace and environment variables to ensure the local binaries and middleware are accessible.
- Commands are passed to a dedicated Python-based safe wrapper script that validates all inputs against a strict allowlist of read-only subcommands.
- The script executes the specific ROS 2 introspection command using a secure subprocess call (shell=False) to prevent shell injection or command chaining.
- The resulting output is captured and returned to the AI agent or developer for real-time analysis within the Openclaw Skills workflow.
ROS 2 Control Introspection Setup
Before this skill can be used, the local environment must be properly configured to interface with your ROS 2 stack.
# Source your ROS 2 distribution and local workspace
source /opt/ros/<distro>/setup.bash
source ~/my_ros_ws/install/setup.bash
# Run the skill setup script to initialize the environment
./scripts/setup.sh
ROS 2 Control Introspection Data Schema & Taxonomy
The skill utilizes a structured command-line interface and parameter profiles to organize data flow and command execution.
| Component | Description |
|---|---|
| Allowed Subcommands | list_controllers, list_controller_types, list_hardware_components, list_hardware_interfaces, view_controller_chains |
| Security Layer | safe_ros2_control_introspection.py wrapper script |
| Configuration | Supports --profile for pre-defined --ros-args and --params-file for external YAML configuration |
ROS 2 Control Introspection Advanced Features
- Secure command injection protection via Python subprocess validation that strictly enforces read-only access.
- Support for custom parameter profiles that simplify complex ROS 2 argument handling for the agent.
- Multi-manager targeting capabilities allowing users to specify a specific controller manager via the -c flag.
- Fully sandboxed execution path designed to integrate seamlessly with the Openclaw Skills security model.
SKILL.md
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