82/100 (Low)

OpenClaw： benign
VirusTotal： suspicious
StaticScan： clean

OpenClaw： benign

This skill is internally consistent with its description: it runs a SAM-based segmentation script, installs the expected Python packages (and the segment_anything repo) and downloads official SAM chec...

[内容已截断]

VirusTotal： suspicious VT 报告

静态扫描： clean

No suspicious patterns detected.

README 未提供

{
    "latestVersion": {
        "_creationTime": 1773492637505,
        "_id": "k977md87hpy2apedaqsdqkd8y582we08",
        "changelog": "- Initial release of \"sam-segmentation\" skill for background removal and image segmentation.\n- Extracts foreground subjects from images using Meta's Segment Anything Model (SAM) and saves as transparent PNGs.\n- Supports multiple model sizes (`vit_b`, `vit_l`, `vit_h`) for different speed and quality needs.\n- Allows foreground hint points, grid-sweep mode for extracting all distinct elements, and various mask filtering parameters.\n- Automatically installs needed dependencies (`segment_anything`, Pillow, numpy, torch, torchvision) on first use.\n- Model checkpoint is auto-downloaded if not provided.",
        "changelogSource": "user",
        "createdAt": 1773492637505,
        "parsed": {
            "clawdis": {
                "install": [
                    {
                        "kind": "uv",
                        "package": "pillow"
                    },
                    {
                        "kind": "uv",
                        "package": "numpy"
                    },
                    {
                        "kind": "uv",
                        "package": "torch"
                    },
                    {
                        "kind": "uv",
                        "package": "torchvision"
                    }
                ],
                "requires": {
                    "bins": [
                        "python3"
                    ]
                }
            }
        },
        "version": "1.0.0"
    },
    "owner": {
        "_creationTime": 0,
        "_id": "publishers:missing",
        "displayName": "scikkk",
        "handle": "scikkk",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/77485593?v=4",
        "kind": "user",
        "linkedUserId": "kn78vxgbf838q8g7h25g6d84md82v700"
    },
    "ownerHandle": "scikkk",
    "skill": {
        "_creationTime": 1773492637505,
        "_id": "kd71rq0de7g0ch5e14k2a26zcd82xmzy",
        "badges": [],
        "createdAt": 1773492637505,
        "displayName": "Segment Anything",
        "latestVersionId": "k977md87hpy2apedaqsdqkd8y582we08",
        "ownerUserId": "kn78vxgbf838q8g7h25g6d84md82v700",
        "slug": "sam",
        "stats": {
            "comments": 0,
            "downloads": 121,
            "installsAllTime": 0,
            "installsCurrent": 0,
            "stars": 0,
            "versions": 1
        },
        "summary": "Use SAM (Segment Anything Model) to remove image backgrounds and extract foreground subjects as transparent PNGs. Use when users want to remove backgrounds,...",
        "tags": {
            "latest": "k977md87hpy2apedaqsdqkd8y582we08"
        },
        "updatedAt": 1774333646631
    }
}