机器人世界模型与动作模型(WAM)技术仓库维护Skill;支持搜集、分析、分类并生成图文并茂的AWAR仓库文档;包含科普介绍、深度技术分析、快速上手指南;当用户需要构建机器人AI领域技术仓库或研究VLA/RT-2/Dreamer等前沿工作时使用
PassAudited by ClawScan on Apr 7, 2026.
Overview
This is an instruction-only maintenance/template skill for building and documenting a robotics World-Action (WAM) repository; its requested footprint (no env vars, no installs, no code execution instructions beyond standard repo/document actions) matches its stated purpose.
This skill appears coherent for maintaining and generating AWAR documentation, but before using it: (1) be careful if the agent follows template commands that git clone, pip install, or download model checkpoints — review the target repositories and packages before running them; (2) verify any external URLs/checkpoint hosts are trusted and check licenses; (3) treat benchmark numbers produced by the skill as draft content until you confirm sources and measurements (the templates require numeric benchmarks, which an agent could fabricate); (4) if you are uncomfortable with an agent performing network operations or running third-party code automatically, disable autonomous invocation or review actions before they run.
