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Install in OpenClaw
/install robotics-vla
Description
Expert guidance for Vision-Language-Action (VLA) robot foundation models — covering architecture design, training pipelines, data strategy, deployment, and e...
Usage Guidance
This skill is a documentation bundle offering technical guidance for building and training VLA robot models; it does not request credentials or install code and appears internally consistent. However, the source is unknown and claims (model sizes, datasets, performance) are not independently verifiable from the package — treat the content as expert guidance, not a tested implementation. Before using any recommendations in production or on hardware: (1) verify provenance of referenced models/data, (2) cross-check the training/operation details against primary literature or open-source implementations, and (3) perform safety testing in simulation to avoid risking real robots. If you need higher assurance, ask the publisher for provenance, training logs, or reproducible scripts.
Capability Analysis
Type: OpenClaw Skill
Name: robotics-vla
Version: 1.1.0
The skill bundle contains purely informational and technical documentation regarding Vision-Language-Action (VLA) robotics models, specifically the π0 architecture. There is no executable code, scripts, or suspicious instructions; the content is limited to architectural details, training strategies, and references to robotics research (SKILL.md, architecture.md, training.md).
Capability Assessment
Purpose & Capability
The skill's name and description match the included SKILL.md and reference documents: architecture, training, embodiments, and related work for a VLA (π0) style robot model. No unrelated binaries, credentials, or config paths are requested.
Instruction Scope
Runtime instructions are purely advisory (design/training/evaluation guidance) and only reference bundled docs. There are no instructions to read system files, environment variables, network endpoints, or to perform actions outside the documentation scope.
Install Mechanism
No install specification or code files are present—this is instruction-only material, so nothing is downloaded or written to disk by an installer.
Credentials
The skill declares no required environment variables, credentials, or config paths. There are no extra secret-like variables requested that would be disproportionate to its stated purpose.
Persistence & Privilege
The skill does not request always:true and is user-invocable with normal autonomy settings. It does not attempt to modify other skills or system settings; no persistence or elevated privileges are requested.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install robotics-vla - After installation, invoke the skill by name or use
/robotics-vla - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.1.0
Add 2025 research landscape: pi0-FAST/0.5/0.6 successors, RTC async chunking, UniVLA unsupervised actions, ManiFlow, GR00T N1, Helix, OpenVLA-OFT
v1.0.0
Initial release: pi0 VLA architecture, flow matching, training pipeline, multi-embodiment support
Metadata
Frequently Asked Questions
What is Robotics VLA?
Expert guidance for Vision-Language-Action (VLA) robot foundation models — covering architecture design, training pipelines, data strategy, deployment, and e... It is an AI Agent Skill for Claude Code / OpenClaw, with 214 downloads so far.
How do I install Robotics VLA?
Run "/install robotics-vla" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Robotics VLA free?
Yes, Robotics VLA is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Robotics VLA support?
Robotics VLA is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Robotics VLA?
It is built and maintained by arden2010 (@arden2010); the current version is v1.1.0.
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