风险评分

41/100 (Medium)

OpenClaw: suspicious
VirusTotal: suspicious
StaticScan: unknown

Ai Rag Pipeline

作者: Ömer Karışman
Slug:ai-rag-pipeline
版本:0.1.5
更新时间:2026-03-24 11:29:33
风险信息

OpenClaw: suspicious

查看 OpenClaw 分析摘要(前 200 字预览)
The skill's purpose and instructions match (building RAG pipelines via the infsh CLI), but it recommends piping a remote install script from a non-standard domain and omits explicit credential guidanc...

[内容已截断]

VirusTotal: suspicious VT 报告

静态扫描: unknown

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": 1771403032049,
        "_id": "k9707jqrwhk5b5j2wvtgwsavrh81dxv7",
        "changelog": "ai-rag-pipeline 0.1.5\n\n- Added comprehensive SKILL.md with detailed usage instructions, pipeline patterns, and best practices.\n- Clarified available tools, models, and their applications.\n- Provided multiple hands-on examples for search+LLM, multi-source research, fact-checking, and report generation.\n- Included tips for query optimization, context management, source attribution, and iterative research.\n- Offered pipeline templates and related skills for easy integration.",
        "changelogSource": "auto",
        "createdAt": 1771403032049,
        "version": "0.1.5"
    },
    "owner": {
        "_creationTime": 0,
        "_id": "publishers:missing",
        "displayName": "Ömer Karışman",
        "handle": "okaris",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/1448702?v=4",
        "kind": "user",
        "linkedUserId": "kn7c1hgfycdfnrf5w8mp3pf1jd808pjv"
    },
    "ownerHandle": "okaris",
    "skill": {
        "_creationTime": 1770363105070,
        "_id": "kd720fe05sdtkbvr0w2cvf5c9s80mhs4",
        "badges": [],
        "createdAt": 1770363105070,
        "displayName": "Ai Rag Pipeline",
        "latestVersionId": "k9707jqrwhk5b5j2wvtgwsavrh81dxv7",
        "ownerUserId": "kn7c1hgfycdfnrf5w8mp3pf1jd808pjv",
        "slug": "ai-rag-pipeline",
        "stats": {
            "comments": 2,
            "downloads": 1066,
            "installsAllTime": 3,
            "installsCurrent": 3,
            "stars": 0,
            "versions": 2
        },
        "summary": "Build RAG (Retrieval Augmented Generation) pipelines with web search and LLMs. Tools: Tavily Search, Exa Search, Exa Answer, Claude, GPT-4, Gemini via OpenRo...",
        "tags": {
            "latest": "k9707jqrwhk5b5j2wvtgwsavrh81dxv7"
        },
        "updatedAt": 1774322973061
    }
}