风险评分

100/100 (Very Low)

OpenClaw: benign
VirusTotal: benign
StaticScan: clean

Ai Tip From Hwchase17

作者: Robinyves
Slug:ai-tip-from-hwchase17
版本:1.0.0
更新时间:2026-03-23 11:21:48
风险信息

OpenClaw: benign

查看 OpenClaw 分析摘要(前 200 字预览)
This is a small, instruction-only tip demonstrating LangChain + Pydantic structured outputs; it asks for no credentials, performs no installs, and its instructions are limited and proportionate to its...

[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": 1774235847482,
        "_id": "k97ewk51zww4xk3vkvycazbdc983fgfg",
        "changelog": "- Initial release of \"AI Tip from @hwchase17\" skill.\n- Shares a curated LangChain tip: easily create custom agents with structured outputs.\n- Provides step-by-step instructions and a Python code example using Pydantic models.\n- Lists required dependencies.",
        "changelogSource": "auto",
        "createdAt": 1774235847482,
        "version": "1.0.0"
    },
    "owner": {
        "_creationTime": 0,
        "_id": "publishers:missing",
        "displayName": "Robinyves",
        "handle": "robinyves",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/262183440?v=4",
        "kind": "user",
        "linkedUserId": "kn7b9zhqs473t6aq6nms593jpd81ddwz"
    },
    "ownerHandle": "robinyves",
    "skill": {
        "_creationTime": 1774235847482,
        "_id": "kd73gzq54kx5dgafgexf163s9983e5va",
        "badges": [],
        "createdAt": 1774235847482,
        "displayName": "Ai Tip From Hwchase17",
        "latestVersionId": "k97ewk51zww4xk3vkvycazbdc983fgfg",
        "ownerUserId": "kn7b9zhqs473t6aq6nms593jpd81ddwz",
        "slug": "ai-tip-from-hwchase17",
        "stats": {
            "comments": 0,
            "downloads": 27,
            "installsAllTime": 0,
            "installsCurrent": 0,
            "stars": 0,
            "versions": 1
        },
        "summary": "Provides AI learning tips by demonstrating how to create custom LangChain agents with structured outputs using Pydantic models.",
        "tags": {
            "latest": "k97ewk51zww4xk3vkvycazbdc983fgfg"
        },
        "updatedAt": 1774236108584
    }
}