风险评分

47/100 (Medium)

OpenClaw: suspicious
VirusTotal: suspicious
StaticScan: clean

Customer Churn Prediction Analyst

作者: ncreighton
Slug:customer-churn-prediction-analyst
版本:1.0.0
更新时间:2026-03-24 15:15:05
风险信息

OpenClaw: suspicious

查看 OpenClaw 分析摘要(前 200 字预览)
The skill's requested credentials and tools mostly match its stated purpose, but important mismatches and privacy risks (notably use of OPENAI_API_KEY which could send customer data to an external LLM...

[内容已截断]

VirusTotal: suspicious VT 报告

静态扫描: clean

No suspicious patterns detected.
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原始 JSON 数据
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        "changelog": "Initial release of Customer Churn Prediction Analyst.\n\n- Analyzes customer behavior and predicts churn risk for Stripe, Shopify, and SaaS platforms.\n- Identifies at-risk accounts and provides risk-ranked lists.\n- Generates personalized intervention and win-back recommendations, including campaign templates and outreach strategies.\n- Tracks effectiveness of retention efforts and measures ROI.\n- Integrates with Stripe, Shopify, SaaS APIs, and Slack for alerts and multi-channel campaigns.\n- Supports custom configurations for various environments and data sources.",
        "changelogSource": "auto",
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        "parsed": {
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                "emoji": "📊",
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                "requires": {
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                    ],
                    "env": [
                        "STRIPE_API_KEY",
                        "SHOPIFY_API_TOKEN",
                        "OPENAI_API_KEY"
                    ]
                }
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        },
        "version": "1.0.0"
    },
    "owner": {
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        "_id": "publishers:missing",
        "displayName": "ncreighton",
        "handle": "ncreighton",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/15095223?v=4",
        "kind": "user",
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    "ownerHandle": "ncreighton",
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        "badges": [],
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        "displayName": "Customer Churn Prediction Analyst",
        "latestVersionId": "k979qfvkav8jzgyc1j12dsv8c1832zgc",
        "ownerUserId": "kn7c5nm05c7dh16vr9d9xxmyfn815845",
        "slug": "customer-churn-prediction-analyst",
        "stats": {
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            "downloads": 47,
            "installsAllTime": 0,
            "installsCurrent": 0,
            "stars": 0,
            "versions": 1
        },
        "summary": "Analyze customer behavior patterns and predict churn risk across Stripe, Shopify, and SaaS platforms. Identify at-risk accounts, generate personalized interv...",
        "tags": {
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}