风险评分

65/100 (Medium)

OpenClaw: suspicious
VirusTotal: benign
StaticScan: clean

Mouse YOLO Factory

作者: Dwysbd
Slug:mouse-yolo-factory
版本:1.0.0
更新时间:2026-03-24 15:21:05
风险信息

OpenClaw: suspicious

查看 OpenClaw 分析摘要(前 200 字预览)
The skill's code appears to match its stated purpose (generating synthetic scratches, running YOLO inference, and merging datasets) but there are incoherent or risky implementation choices (hard-coded...

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VirusTotal: benign VT 报告

静态扫描: clean

No suspicious patterns detected.
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原始 JSON 数据
{
    "latestVersion": {
        "_creationTime": 1773812246528,
        "_id": "k9766ft3016az9fjnn33a26xh1834xhc",
        "changelog": "Initial release of mouse-yolo-factory:\n\n- Integrates YOLO-based defect detection for mouse products.\n- Supports scratch defect image generation, model-based auto-labeling, and dataset merging\/versioning.\n- Provides clear command-line usage examples for each workflow.\n- Includes detailed guidance on intended and excluded use cases.",
        "changelogSource": "user",
        "createdAt": 1773812246528,
        "version": "1.0.0"
    },
    "owner": {
        "_creationTime": 0,
        "_id": "publishers:missing",
        "displayName": "Dwysbd",
        "handle": "dwysbd",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/68097928?v=4",
        "kind": "user",
        "linkedUserId": "kn78gqvm78nav9bv13s1b9yedh835tdc"
    },
    "ownerHandle": "dwysbd",
    "skill": {
        "_creationTime": 1773812246528,
        "_id": "kd7frtqq9bj4ma771pqvbrgzg9834gw8",
        "badges": [],
        "createdAt": 1773812246528,
        "displayName": "Mouse YOLO Factory",
        "latestVersionId": "k9766ft3016az9fjnn33a26xh1834xhc",
        "ownerUserId": "kn78gqvm78nav9bv13s1b9yedh835tdc",
        "slug": "mouse-yolo-factory",
        "stats": {
            "comments": 0,
            "downloads": 66,
            "installsAllTime": 0,
            "installsCurrent": 0,
            "stars": 0,
            "versions": 1
        },
        "summary": "Generate simulated scratch defects, run YOLO model inference with auto-labeling, and merge mouse product defect image datasets with version control.",
        "tags": {
            "latest": "k9766ft3016az9fjnn33a26xh1834xhc"
        },
        "updatedAt": 1774336865664
    }
}