风险评分

59/100 (Medium)

OpenClaw: suspicious
VirusTotal: benign
StaticScan: unknown

Ml Pipeline Starter

作者: Sunshine-del-ux
Slug:ml-pipeline-starter
版本:1.0.0
更新时间:2026-03-05 03:21:40
风险信息

OpenClaw: suspicious

查看 OpenClaw 分析摘要(前 200 字预览)
The skill's description fits an ML pipeline helper, but its runtime instructions tell the user/agent to execute a local script (./ml-pipeline.sh) that is not included or sourced from a trusted locatio...

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VirusTotal: benign VT 报告

静态扫描: unknown

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原始 JSON 数据
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        "_creationTime": 1772652091713,
        "_id": "k97d58f24qbaxa44jbqyf399g58289dk",
        "changelog": "Initial release of ml-pipeline-starter.\n\n- Provides data validation, feature engineering, and augmentation.\n- Supports hyperparameter tuning, cross-validation, and model versioning.\n- Includes metrics tracking, bias detection, and performance monitoring.\n- Enables model serving, A\/B testing, and rollback capabilities.\n- Compatible with TensorFlow, PyTorch, and Scikit-learn.\n- Requires Python 3.8+ and Docker.",
        "changelogSource": "auto",
        "createdAt": 1772652091713,
        "version": "1.0.0"
    },
    "owner": {
        "_creationTime": 0,
        "_id": "publishers:missing",
        "displayName": "Sunshine-del-ux",
        "handle": "sunshine-del-ux",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/83053073?v=4",
        "kind": "user",
        "linkedUserId": "kn754w8negkve53dntzhycyd0h82565k"
    },
    "ownerHandle": "sunshine-del-ux",
    "skill": {
        "_creationTime": 1772652091713,
        "_id": "kd74f20z2szfqgnpnhp7drr371829zqp",
        "badges": [],
        "createdAt": 1772652091713,
        "displayName": "Ml Pipeline Starter",
        "latestVersionId": "k97d58f24qbaxa44jbqyf399g58289dk",
        "ownerUserId": "kn754w8negkve53dntzhycyd0h82565k",
        "slug": "ml-pipeline-starter",
        "stats": {
            "comments": 0,
            "downloads": 205,
            "installsAllTime": 1,
            "installsCurrent": 1,
            "stars": 0,
            "versions": 1
        },
        "summary": "Build and deploy production ML pipelines with data processing, model training, evaluation, and deployment using TensorFlow, PyTorch, or Scikit-learn.",
        "tags": {
            "latest": "k97d58f24qbaxa44jbqyf399g58289dk"
        },
        "updatedAt": 1772652100869
    }
}