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Helps AI coding assistants produce production-grade ROS robotics software and tests.
This skill appears to be prompt-only, open-source, and declares no keys or remote endpoints, indicating low overall risk. Because the README and maintenance details are limited, basic validation is still advisable, but no explicit high-risk red flags are evident.
The materials explicitly state that no keys or environment variables are required; as a prompt-only skill, there is no evidence that it asks for tokens, API keys, or other sensitive credentials.
No remote endpoints are declared, and the objective check marks it as prompt-only; the materials do not indicate sending user data to external services or third-party hosts.
Based on the available materials, this is a skill/prompt package for AI coding assistants rather than an executable MCP tool; it does not declare local process spawning, script execution, or system capability use.
The materials do not describe any ability to read or write the filesystem, databases, robotics devices, or other local/remote resources; as a prompt-only skill, there is no sign of excessive data access.
The source is an open-source GitHub repository under Apache-2.0 with about 262 stars, providing some auditability and community trust signals; although the README is absent and maintenance status is unknown, this does not by itself constitute a high-risk red flag.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "robotics-agent-skills" yet — see the docs or source repo.
Generate a production-ready ROS2 Python package scaffold for a node that subscribes to /scan and publishes obstacle-avoidance velocity commands to /cmd_vel. Follow SOLID principles, separate node, control logic, and config, and include parameter declarations, logging, error handling, and a README.
A well-structured ROS2 package scaffold with node implementation, modular separation, sample config, and usage instructions.
Here is a ROS1 robot control script. Refactor it into more maintainable production-grade code, apply suitable design patterns, remove responsibility coupling, and add type hints, exception handling, and unit test recommendations: [paste code]
A refactored code approach with implementation guidance, including chosen design patterns, module responsibilities, and testability improvements.
Design a complete testing strategy for this ROS2 navigation module, covering unit, integration, simulation, and CI checks. Also provide pytest examples, message/service mocking strategies, and a checklist of common failure scenarios. [paste project structure or code]
A robotics-focused test plan with testing layers, sample code, CI recommendations, and a risk coverage checklist.
Automate compliant robotics development, validation, and security across the full lifecycle.
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