47/100 (Medium)

OpenClaw： suspicious
VirusTotal： suspicious
StaticScan： clean

OpenClaw： suspicious

The skill's functionality (querying and uploading documents to an AnythingLLM server) matches its description, but the shipped script contains a hard-coded API key and will upload arbitrary local file...

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VirusTotal： suspicious VT 报告

静态扫描： clean

No suspicious patterns detected.

README 未提供

{
    "latestVersion": {
        "_creationTime": 1773986220129,
        "_id": "k977vmwk5qnw6s36rybtgjjfns838g9t",
        "changelog": "- Initial release of anythingllm-rag skill.\n- Enables querying and searching of local\/private documents through AnythingLLM's RAG API.\n- Supports uploading files and raw text to the user's knowledge base.\n- Responds to specific document-related phrases and defaults to the main model for unrelated queries.\n- Provides command scripts for querying, uploading, listing documents, and health checks.\n- Returns RAG-generated answers with cited sources.",
        "changelogSource": "user",
        "createdAt": 1773986220129,
        "version": "1.0.0"
    },
    "owner": {
        "_creationTime": 0,
        "_id": "publishers:missing",
        "displayName": "tianmaomao",
        "handle": "tianmaomao",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/19387608?v=4",
        "kind": "user",
        "linkedUserId": "kn7d5r791w9qeg4a24ykyfbzr582pvhw"
    },
    "ownerHandle": "tianmaomao",
    "skill": {
        "_creationTime": 1773986220129,
        "_id": "kd746yd3dr5tqh4bh46k8pz5es839fxf",
        "badges": [],
        "createdAt": 1773986220129,
        "displayName": "anythingllm-rag",
        "latestVersionId": "k977vmwk5qnw6s36rybtgjjfns838g9t",
        "ownerUserId": "kn7d5r791w9qeg4a24ykyfbzr582pvhw",
        "slug": "anythingllm-rag",
        "stats": {
            "comments": 0,
            "downloads": 38,
            "installsAllTime": 0,
            "installsCurrent": 0,
            "stars": 1,
            "versions": 1
        },
        "summary": "Query local documents via AnythingLLM RAG (Retrieval-Augmented Generation). Use when the user asks about their private\/local documents, PDFs, uploaded files,...",
        "tags": {
            "latest": "k977vmwk5qnw6s36rybtgjjfns838g9t"
        },
        "updatedAt": 1773986508075
    }
}