风险评分

65/100 (Medium)

OpenClaw: suspicious
VirusTotal: benign
StaticScan: clean

Oraclaw Forecast

作者: Whatsonyourmind
Slug:oraclaw-forecast
版本:1.0.0
更新时间:2026-03-27 21:51:50
风险信息

OpenClaw: suspicious

查看 OpenClaw 分析摘要(前 200 字预览)
The skill's declared need for an ORACLAW_API_KEY and its pricing/homepage imply an external service, but the runtime instructions never explain where or how the key is used (no endpoints, no call patt...

[内容已截断]

VirusTotal: benign VT 报告

静态扫描: clean

No suspicious patterns detected.
README

README 未提供

文件列表

无文件信息

下载
下载官方 ZIP
原始 JSON 数据
{
    "latestVersion": {
        "_creationTime": 1774616580575,
        "_id": "k97aemh389n2azb1tkasvj5bdh83prsj",
        "changelog": "Initial release of oraclaw-forecast.\n\n- Provides fast time series forecasting using ARIMA and Holt-Winters models with 95% confidence intervals.\n- Supports prediction for any sequential data (e.g., revenue, traffic, prices).\n- Offers an API tool for generating forecasts via `predict_forecast`, including support for seasonal and non-seasonal data.\n- Requires at least 10 data points (ARIMA) or 2×seasonLength (Holt-Winters).\n- Pricing: $0.05 per forecast, with a free tier for up to 3,000 calls\/month.",
        "changelogSource": "auto",
        "createdAt": 1774616580575,
        "parsed": {
            "clawdis": {
                "emoji": "📈",
                "homepage": "https:\/\/oraclaw.dev\/forecast",
                "primaryEnv": "ORACLAW_API_KEY",
                "requires": {
                    "env": [
                        "ORACLAW_API_KEY"
                    ]
                }
            }
        },
        "version": "1.0.0"
    },
    "owner": {
        "_creationTime": 0,
        "_id": "s1742adj1ngn7vhc26tve4753183j86s",
        "displayName": "Whatsonyourmind",
        "handle": "whatsonyourmind",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/248369826?v=4",
        "kind": "user",
        "linkedUserId": "kn7f3f6xcvbd7rsrjhasr7zx1583kmmx"
    },
    "ownerHandle": "whatsonyourmind",
    "skill": {
        "_creationTime": 1774616580575,
        "_id": "kd799x04s9mp1epk4am2eswxdx83q106",
        "badges": [],
        "createdAt": 1774616580575,
        "displayName": "Oraclaw Forecast",
        "latestVersionId": "k97aemh389n2azb1tkasvj5bdh83prsj",
        "ownerPublisherId": "s1742adj1ngn7vhc26tve4753183j86s",
        "ownerUserId": "kn7f3f6xcvbd7rsrjhasr7zx1583kmmx",
        "slug": "oraclaw-forecast",
        "stats": {
            "comments": 0,
            "downloads": 22,
            "installsAllTime": 0,
            "installsCurrent": 0,
            "stars": 0,
            "versions": 1
        },
        "summary": "Time series forecasting for AI agents. ARIMA and Holt-Winters predictions with confidence intervals. Predict revenue, traffic, prices, or any sequential data...",
        "tags": {
            "latest": "k97aemh389n2azb1tkasvj5bdh83prsj"
        },
        "updatedAt": 1774619510773
    }
}