100/100 (Very Low)

OpenClaw： benign
VirusTotal： benign
StaticScan： clean

OpenClaw： benign

The skill's code, instructions, and requirements are consistent with a local inventory anomaly detection and demand-forecasting tool; it does not request credentials or contact external endpoints, but...

[内容已截断]

VirusTotal： benign VT 报告

静态扫描： clean

No suspicious patterns detected.

README 未提供

{
    "latestVersion": {
        "_creationTime": 1773327072292,
        "_id": "k97ckwsdsgfhe0enrasknzt91582r9fg",
        "changelog": "Initial release of inventory-anomaly-prediction skill:\n\n- Provides a modular system for inventory anomaly detection and demand forecasting, supporting use cases in manufacturing, retail, and spare parts management.\n- Includes core modules for Excel data management, inventory queries, demand calculation, anomaly detection, ARIMA-based demand forecasting, test data generation, and report creation.\n- Supports generating and processing real or simulated inventory and order data, identifying abnormal inventory and demand trends, and providing restock recommendations.\n- Outputs a comprehensive TXT report covering inventory status, detected anomalies, forecast results, and urgent replenishment advice.\n- Designed for easy customization and integration, with guidance for parameter adjustment, model replacement, and report formatting.\n- Utilizes pandas, numpy, statsmodels (ARIMA), and openpyxl for data handling and analytics.",
        "changelogSource": "user",
        "createdAt": 1773327072292,
        "version": "1.0.0"
    },
    "owner": {
        "_creationTime": 0,
        "_id": "publishers:missing",
        "displayName": "Vincent_Openclaw",
        "handle": "openclawvincent",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/45728689?v=4",
        "kind": "user",
        "linkedUserId": "kn721jjtb72tn9werhbwa69pzx82dm64"
    },
    "ownerHandle": "openclawvincent",
    "skill": {
        "_creationTime": 1773327072292,
        "_id": "kd78g0ehkp00vj373fjp026efh82sjg3",
        "badges": [],
        "createdAt": 1773327072292,
        "displayName": "inventory-anomaly",
        "latestVersionId": "k97ckwsdsgfhe0enrasknzt91582r9fg",
        "ownerUserId": "kn721jjtb72tn9werhbwa69pzx82dm64",
        "slug": "inventory-anomaly",
        "stats": {
            "comments": 0,
            "downloads": 184,
            "installsAllTime": 1,
            "installsCurrent": 1,
            "stars": 0,
            "versions": 1
        },
        "summary": "库存异常检测和需求预测系统生成工具。当用户需要搭建库存管理系统、实现异常检测算法、开发需求预测功能（如ARIMA模型）、创建库存预警系统时使用此skill。特别适用于制造业、零售业、备件管理等场景，需要处理Excel数据、检测库存异常、预测未来需求并生成报告的情况。",
        "tags": {
            "latest": "k97ckwsdsgfhe0enrasknzt91582r9fg"
        },
        "updatedAt": 1773328019125
    }
}