xbot-camera-qc

Professional visual inspection for xbot.coffee Lite, detecting drink volume, screen, table, robotic arm, dirt, environment and pests. Output structured Engli...

This skill appears coherent for camera-based QC and outputs a clear JSON schema, but it omits operational details you should confirm before installing: (1) Where will images be processed — locally in the agent runtime or sent to an external API? If external, request the endpoint and any required credentials and verify they are declared. (2) Ask the author for the actual model/code used (repo link or container). Without code, you cannot audit inference behavior or data handling. (3) Consider privacy: camera images may include people or sensitive scenes — ensure storage, retention, and transmission policies are acceptable. (4) If you allow autonomous runs, be aware the agent could choose to call external services; restrict network access or require explicit approval for external calls if that is a concern. (5) Test on non-sensitive sample images first and request a technical readme describing model, latency, expected error rates, and failure modes. If you need stronger assurance, ask the publisher to provide the implementation (code or container) so you can perform a security review.

Type: OpenClaw Skill Name: xbot-camera-qc Version: 1.0.0 The skill bundle is a legitimate visual quality control tool for xbot.coffee Lite machines. It contains only metadata and descriptive instructions in SKILL.md and README.md for an AI agent to analyze images and output structured JSON regarding equipment status, cleanliness, and pests. No executable code, suspicious network calls, or malicious prompt injection attempts were identified.