zsquadbot

Develop and control quadruped robots with motor commands, sensor fusion, gait generation, diagnostics, and communication protocols for platforms like Unitree...

This package appears coherent for quadruped development, but review and take precautions before running: 1) Safety first — motor_control.py and related scripts send raw commands over serial and can move real actuators; test in the simulator (sim_state/sim_control) before connecting to hardware and have an emergency stop in place. 2) Dependency check — the code expects pyserial and standard Python libs; install dependencies in a controlled virtualenv. 3) File and module mismatches — SKILL.md examples reference a top-level 'quadruped' import and some listed helper scripts that aren't present; you may need to adjust imports or run scripts with PYTHONPATH set to the skill folder. 4) Run tests in an isolated environment (or without physical devices connected) to verify behavior first. 5) If you plan to use it on a commercial platform (Unitree/ANYmal), confirm compatibility and safety limits; do not assume the code enforces hardware safety limits. If you want, I can point out specific code lines that warrant close review (e.g., serial packet formats, struct packing/unpacking, places that write files), or produce a short checklist to sandbox and smoke-test the skill safely.

Type: OpenClaw Skill Name: zsquadbot Version: 1.0.0 The skill bundle is a comprehensive toolkit for quadruped robot development, including gait generation, serial communication for hardware control (motors/IMU), and a virtual simulation environment. While 'simple_test.py' uses a risky 'exec()' call to load local scripts and 'test_all.sh' contains a hardcoded local user path (/Users/liuxing/), these are classified as non-malicious development flaws or lack of portability. No evidence of data exfiltration, unauthorized network access, or malicious prompt injection was found.