94/100 (Very Low)

OpenClaw： benign
VirusTotal： benign
StaticScan： unknown

OpenClaw： benign

The skill is an instruction-only ROAS/attribution forecasting helper whose declared inputs and runtime instructions align with its advertising-planning purpose and it doesn't request extra credentials...

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VirusTotal： benign VT 报告

静态扫描： unknown

README 未提供

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    "latestVersion": {
        "_creationTime": 1772603782447,
        "_id": "k97btpyjwj7k315e3rg660830h829haf",
        "changelog": "Initial release of the ROAS Forecast Attribution Modeler skill.\n\n- Provides actionable ROAS forecasting and attribution modeling for major ad platforms (Meta, Google, TikTok, YouTube, Amazon, Shopify, DSP).\n- Supports scenario planning, attribution sensitivity analysis, and budget recommendations tailored to each channel.\n- Outlines explicit input\/output contracts, workflow steps, and decision rules for ad-focused forecasting tasks.\n- Includes platform-specific guidance and guardrails (e.g., creative testing for Meta\/TikTok, intent-driven actions for Google\/Amazon).\n- Delivers failure handling, rollback criteria, and clear example cases for practical use.",
        "changelogSource": "user",
        "createdAt": 1772603782447,
        "version": "1.0.0"
    },
    "owner": {
        "_creationTime": 0,
        "_id": "publishers:missing",
        "displayName": "danyangliu",
        "handle": "danyangliu-sandwichlab",
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        "kind": "user",
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    "ownerHandle": "danyangliu-sandwichlab",
    "skill": {
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        "_id": "kd7bbg9z75e20sn1xnc4xjwrvd8297xf",
        "badges": [],
        "createdAt": 1772603782447,
        "displayName": "Ads ROAS Forecast",
        "latestVersionId": "k97btpyjwj7k315e3rg660830h829haf",
        "ownerUserId": "kn7eggx7fsecqf1xgex5tgffd582400d",
        "slug": "roas-forecast-attribution-modeler",
        "stats": {
            "comments": 0,
            "downloads": 193,
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            "installsCurrent": 0,
            "stars": 0,
            "versions": 1
        },
        "summary": "Build ROAS forecasting and attribution-model assumptions for Meta (Facebook\/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, Shopify Ads, and DSP...",
        "tags": {
            "latest": "k97btpyjwj7k315e3rg660830h829haf"
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        "updatedAt": 1772603792272
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}