Segment Anything

使用 SAM（Segment Anything Model）去除图像背景，将前景主体提取为透明 PNG。适用于去除背景、抠图、提取前景主体或图像分割等需求。

This skill appears to do what it claims. Before installing, consider: (1) model weights can be large (vit_h ~2.5GB) — ensure you have bandwidth and disk space; (2) it will install Python packages (torch, torchvision, and may pip-install the segment_anything repo) which run code on your machine — if you run in a shared/production environment, prefer reviewing the segment_anything repository or running inside a contained environment (virtualenv/container); (3) downloads occur from GitHub and dl.fbaipublicfiles.com (official hosts), so network access is required; (4) no credentials are requested. If any of these behaviors are unacceptable, do not install or run without isolation.

Type: OpenClaw Skill Name: segment-anything Version: 1.0.0 The skill bundle provides image segmentation using Meta's Segment Anything Model (SAM). It is classified as suspicious because scripts/segment.py uses os.system to automatically execute a 'pip install' from a remote Git repository and urllib.request to download large binary model weights (up to 2.5GB) from dl.fbaipublicfiles.com to the user's home directory (~/.cache/sam). While these actions are aligned with the stated purpose, the use of shell execution for package installation and the automatic downloading of large remote assets are high-risk behaviors that bypass standard package management and can lead to unintended side effects or supply chain risks.