风险评分

100/100 (Very Low)

OpenClaw: benign
VirusTotal: benign
StaticScan: clean

Aloudata CAN SKILLS - metric-attribution

作者: jackyujun
Slug:metric-attribution
版本:1.0.4
更新时间:2026-03-18 23:06:50
风险信息

OpenClaw: benign

查看 OpenClaw 分析摘要
The skill's declared requirements and runtime instructions align with its stated purpose: it fetches metrics from the Aloudata Gateway using a single API key and performs local attribution analysis.

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": 1773844704671,
        "_id": "k97fa41p840aqzvcepgankarh5834tbg",
        "changelog": "- 新增要求:需在 ~\/.openclaw\/.env 中配置 CAN_API_KEY 作为必需环境变量,明确标注此项为必填。\n- 文档中加入 env_vars 字段说明,提升接入指引清晰度。\n- 其余功能与接口说明与上一版本一致,无功能变更。",
        "changelogSource": "user",
        "createdAt": 1773844704671,
        "parsed": {
            "clawdis": {
                "author": "Aloudata",
                "homepage": "https:\/\/aloudata.com\/"
            }
        },
        "version": "1.0.4"
    },
    "owner": {
        "_creationTime": 0,
        "_id": "publishers:missing",
        "displayName": "jackyujun",
        "handle": "jackyujun",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/4506268?v=4",
        "kind": "user",
        "linkedUserId": "kn7a65qw8tzzh15x5fhs1yx85n835khy"
    },
    "ownerHandle": "jackyujun",
    "skill": {
        "_creationTime": 1773820689558,
        "_id": "kd71agzdxrf7hk4afmqnvxm4ph835gfa",
        "badges": [],
        "createdAt": 1773820689558,
        "displayName": "Aloudata CAN SKILLS - metric-attribution",
        "latestVersionId": "k97fa41p840aqzvcepgankarh5834tbg",
        "ownerUserId": "kn7a65qw8tzzh15x5fhs1yx85n835khy",
        "slug": "metric-attribution",
        "stats": {
            "comments": 0,
            "downloads": 213,
            "installsAllTime": 0,
            "installsCurrent": 0,
            "stars": 0,
            "versions": 5
        },
        "summary": "对指标波动进行综合归因诊断,定位导致指标变化的关键因子、维度和外部事件。当用户需要分析指标波动原因、定位指标变化的根因、做因子拆解归因(如 GMV = UV × 转化率 × 客单价)、或理解指标为什么涨跌时,必须使用此 Skill。 触发场景包括但不限于:用户提到\"归因\"\"归因分析\"\"波动分析\"\"波动归因\"\"根因...",
        "tags": {
            "latest": "k97fa41p840aqzvcepgankarh5834tbg"
        },
        "updatedAt": 1773846410035
    }
}