风险评分

100/100 (Very Low)

OpenClaw: benign
VirusTotal: benign
StaticScan: clean

Milvus

作者: Lumina Wang
Slug:milvus
版本:1.0.0
更新时间:2026-03-18 16:26:50
风险信息

OpenClaw: benign

查看 OpenClaw 分析摘要
The skill's requirements and runtime instructions match its Milvus/vector-database purpose (Python + pymilvus + MILVUS_URI); nothing requested is out of scope or unexplained.

VirusTotal: benign VT 报告

静态扫描: clean

No suspicious patterns detected.
README

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原始 JSON 数据
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    "latestVersion": {
        "_creationTime": 1773820793589,
        "_id": "k97538yhwm7d8g87q3aev38fvn834c5v",
        "changelog": "Initial release of the Milvus skill — operate Milvus vector databases via Python and pymilvus.\n\n- Connect to Milvus (Lite, Standalone, Cluster, or Zilliz Cloud) with flexible authentication.\n- Create collections with auto or custom schemas, including a full range of data types.\n- Perform vector insert, upsert, search, query, get, and delete operations.\n- Manage indexes, partitions, databases, and control access with RBAC.\n- Includes guides for connection, collection management, operation parameters, and code examples.",
        "changelogSource": "user",
        "createdAt": 1773820793589,
        "parsed": {
            "clawdis": {
                "emoji": "🧠",
                "homepage": "https:\/\/github.com\/milvus-io\/pymilvus",
                "install": [
                    {
                        "kind": "uv",
                        "package": "pymilvus"
                    }
                ],
                "primaryEnv": "MILVUS_URI",
                "requires": {
                    "bins": [
                        "python3"
                    ]
                }
            }
        },
        "version": "1.0.0"
    },
    "owner": {
        "_creationTime": 0,
        "_id": "publishers:missing",
        "displayName": "Lumina Wang",
        "handle": "lumina2025",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/201706568?v=4",
        "kind": "user",
        "linkedUserId": "kn7a4fpwrekqq49303qpny6zzh831v08"
    },
    "ownerHandle": "lumina2025",
    "skill": {
        "_creationTime": 1773820793589,
        "_id": "kd77y80cn2xb9ne7j9amh77dad835mzq",
        "badges": [],
        "createdAt": 1773820793589,
        "displayName": "Milvus",
        "latestVersionId": "k97538yhwm7d8g87q3aev38fvn834c5v",
        "ownerUserId": "kn7a4fpwrekqq49303qpny6zzh831v08",
        "slug": "milvus",
        "stats": {
            "comments": 0,
            "downloads": 61,
            "installsAllTime": 0,
            "installsCurrent": 0,
            "stars": 0,
            "versions": 1
        },
        "summary": "Operate Milvus vector database with pymilvus — collections, vector search, hybrid search, indexes, RBAC, partitions, and more via Python code.",
        "tags": {
            "embeddings": "k97538yhwm7d8g87q3aev38fvn834c5v",
            "latest": "k97538yhwm7d8g87q3aev38fvn834c5v",
            "milvus": "k97538yhwm7d8g87q3aev38fvn834c5v",
            "pymilvus": "k97538yhwm7d8g87q3aev38fvn834c5v",
            "rag": "k97538yhwm7d8g87q3aev38fvn834c5v",
            "semantic-search": "k97538yhwm7d8g87q3aev38fvn834c5v",
            "vector-database": "k97538yhwm7d8g87q3aev38fvn834c5v"
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        "updatedAt": 1773822410194
    }
}