风险评分

94/100 (Very Low)

OpenClaw: benign
VirusTotal: benign
StaticScan: unknown

Spark Engineer

作者: Veera
Slug:spark-engineer
版本:0.1.0
更新时间:2026-02-26 07:20:35
风险信息

OpenClaw: benign

查看 OpenClaw 分析摘要
The skill is an instruction-only Apache Spark engineering guide whose requirements and instructions align with its stated purpose and do not request extra credentials or install arbitrary software.

VirusTotal: benign VT 报告

静态扫描: unknown

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原始 JSON 数据
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        "changelog": "Initial release of spark-engineer skill.\n\n- Provides expert support for building and optimizing Apache Spark applications, ETL pipelines, and streaming analytics.\n- Covers workflows for requirement analysis, pipeline design, implementation, optimization, and validation.\n- Includes reference guides for DataFrame API, Spark SQL, RDD operations, partitioning, caching, performance tuning, and streaming.\n- Lists critical best practices and anti-patterns for production Spark workloads.\n- Supplies structured output templates including code, configurations, partitioning strategies, performance analysis, and monitoring advice.",
        "changelogSource": "auto",
        "createdAt": 1769839003707,
        "version": "0.1.0"
    },
    "owner": {
        "_creationTime": 0,
        "_id": "publishers:missing",
        "displayName": "Veera",
        "handle": "veeramanikandanr48",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/119089869?v=4",
        "kind": "user",
        "linkedUserId": "kn7agf701n3afzzbq8ge0wa8k1809wm4"
    },
    "ownerHandle": "veeramanikandanr48",
    "skill": {
        "_creationTime": 1769839003707,
        "_id": "kd7bvcpmpm036etancxrcs9f0s809wxr",
        "createdAt": 1769839003707,
        "displayName": "Spark Engineer",
        "latestVersionId": "k977rafqqm0crkyx8mq31tsetd80876s",
        "ownerUserId": "kn7agf701n3afzzbq8ge0wa8k1809wm4",
        "slug": "spark-engineer",
        "stats": {
            "comments": 0,
            "downloads": 1647,
            "installsAllTime": 4,
            "installsCurrent": 4,
            "stars": 1,
            "versions": 1
        },
        "summary": "Use when building Apache Spark applications, distributed data processing pipelines, or optimizing big data workloads. Invoke for DataFrame API, Spark SQL, RDD operations, performance tuning, streaming analytics.",
        "tags": {
            "latest": "k977rafqqm0crkyx8mq31tsetd80876s"
        },
        "updatedAt": 1772061635938
    }
}