soarm-control

Control the robotic arm through the OpenClaw SOARM API. Use this skill when reading current joint state, moving by joint angles, moving by XYZ coordinates, o...

This skill appears to implement a local SOARM robot controller (Flask API, IK, vision). Before installing: 1) Do not run the server unless you are on the machine that actually hosts the robot and camera; the code will attempt to open /dev/ttyACM0 and camera devices and will move hardware. 2) Verify the missing files referenced in SKILL.md (references/so101_new_calib.urdf and the YOLO weights 'best.pt')—they are referenced but not present in the manifest; ask the publisher where to obtain them. 3) Prepare an isolated test environment (separate machine or network) and a conda env named 'lerobot' or update start_server.sh to point to your conda; dependencies (pinocchio, ultralytics, opencv, lerobot package) must be installed manually. 4) Inspect the full soarm_api.py (the provided copy was truncated) to ensure no unexpected network endpoints or hidden behavior; confirm YOLO/model loading uses local files only. 5) If you need higher assurance, request from the publisher: (a) a complete dependency/install script, (b) the referenced URDF and model files or their trusted sources, and (c) the full untruncated source of soarm_api.py. Given missing files and lack of install guidance, treat this package as potentially unreliable or unsafe to run on production hardware until those gaps are resolved.

Type: OpenClaw Skill Name: soarm-control Version: 1.0.1 The soarm-control skill bundle is a legitimate robotics control suite designed to interface with a SOARM 101 robotic arm via the lerobot and pinocchio libraries. It provides a Flask-based API (soarm_api.py) for joint control, inverse kinematics, and vision-guided pick tasks using YOLO. The code follows standard robotics programming patterns, lacks any indicators of data exfiltration, persistence, or malicious execution, and the instructions in SKILL.md are consistent with the stated purpose of hardware control.