风险评分

76/100 (Low)

OpenClaw: benign
VirusTotal: suspicious
StaticScan: unknown

Product Research

作者: Hagen Hoferichter
Slug:product-research
版本:1.0.0
更新时间:2026-03-24 11:59:38
风险信息

OpenClaw: benign

查看 OpenClaw 分析摘要(前 200 字预览)
The skill's declared requirements and runtime instructions are internally consistent with a product-research/orchestration purpose; nothing indicates intentional misdirection or unrelated credential r...

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VirusTotal: suspicious VT 报告

静态扫描: unknown

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原始 JSON 数据
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        "_id": "k97aqs6q07rcw8cw32jfc40jcd814rsg",
        "changelog": "Major update: Transformed the skill from a general product-building toolkit into a focused orchestration tool for scouting, validating, and preparing e-commerce winning products.\n\n- Renamed and repositioned as \"product-spy\" targeting e-commerce trend and dropshipping use cases.\n- Completely rewrote purpose, workflow, and rules for orchestrating discovery, validation, and store listing based on data signals from integrated skills.\n- Added strict input requirements, failure handling, API key checks, and output contracts for transparency and reliability.\n- Enforced explicit outputs at each pipeline stage: trend analysis, regional demand, competition check, sourcing, creative, deployment.\n- Removed most previous files and product frameworks in favor of a coordinated, code-driven orchestration model.\n- Clearly documented integration, prerequisites, and troubleshooting steps for required APIs and marketplace connectors.",
        "changelogSource": "user",
        "createdAt": 1771086939353,
        "parsed": {
            "clawdis": {
                "emoji": "🕵️",
                "requires": {
                    "bins": [
                        "node",
                        "npx",
                        "goplaces"
                    ],
                    "env": [
                        "TAVILY_API_KEY",
                        "GOOGLE_PLACES_API_KEY",
                        "MATON_API_KEY"
                    ]
                }
            }
        },
        "version": "1.0.0"
    },
    "owner": {
        "_creationTime": 0,
        "_id": "publishers:missing",
        "displayName": "Hagen Hoferichter",
        "handle": "h4gen",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/12556763?v=4",
        "kind": "user",
        "linkedUserId": "kn7ft2sr98d9c21957t1hvb5fs811eyd"
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    "ownerHandle": "h4gen",
    "skill": {
        "_creationTime": 1771086939353,
        "_id": "kd7e6s1wxe3rwyz99tdx8cw8ys81580w",
        "badges": [],
        "createdAt": 1771086939353,
        "displayName": "Product Research",
        "latestVersionId": "k97aqs6q07rcw8cw32jfc40jcd814rsg",
        "ownerUserId": "kn7ft2sr98d9c21957t1hvb5fs811eyd",
        "slug": "product-research",
        "stats": {
            "comments": 0,
            "downloads": 612,
            "installsAllTime": 5,
            "installsCurrent": 5,
            "stars": 0,
            "versions": 1
        },
        "summary": "Identifies winning e-commerce products by analyzing social trends, regional demand, marketplace data, and prepares WooCommerce or Shopify store drafts accord...",
        "tags": {
            "latest": "k97aqs6q07rcw8cw32jfc40jcd814rsg"
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        "updatedAt": 1774324778965
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}