风险评分

100/100 (Very Low)

OpenClaw: benign
VirusTotal: benign
StaticScan: clean

Screen recommendation loop

作者: GloryXia
Slug:screen-recommendation-loop
版本:0.0.1
更新时间:2026-03-11 10:06:48
风险信息

OpenClaw: benign

查看 OpenClaw 分析摘要
The skill's instructions, scope, and resource needs are internally consistent with a lightweight recommendation/follow-up loop and do not request unexplained credentials or installs.

VirusTotal: benign VT 报告

静态扫描: clean

No suspicious patterns detected.
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原始 JSON 数据
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        "_id": "k9720nevw59rm79epfjx99m5q182p2re",
        "changelog": "- Initial release of screen-recommendation-loop skill.\n- Supports one-at-a-time movie\/anime recommendations with feedback loops.\n- Integrates mixed-source candidate pools (e.g., Douban\/Bangumi Top lists).\n- Adapts future picks using preference signals and constrained randomness.\n- Automatic, type-based follow-up timing and minimal feedback schema.\n- Emphasizes user privacy and does not store personal identifiers.",
        "changelogSource": "user",
        "createdAt": 1773194089909,
        "version": "0.0.1"
    },
    "owner": {
        "_creationTime": 0,
        "_id": "publishers:missing",
        "displayName": "GloryXia",
        "handle": "gloryxia",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/21697777?v=4",
        "kind": "user",
        "linkedUserId": "kn7fc215hd0cbycbmtzdpcr3yh82c0ba"
    },
    "ownerHandle": "gloryxia",
    "skill": {
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        "_id": "kd70qkmyxtkqh6ffqa3n41esph82q5dy",
        "badges": [],
        "createdAt": 1773194089909,
        "displayName": "Screen recommendation loop",
        "latestVersionId": "k9720nevw59rm79epfjx99m5q182p2re",
        "ownerUserId": "kn7fc215hd0cbycbmtzdpcr3yh82c0ba",
        "slug": "screen-recommendation-loop",
        "stats": {
            "comments": 0,
            "downloads": 129,
            "installsAllTime": 0,
            "installsCurrent": 0,
            "stars": 0,
            "versions": 1
        },
        "summary": "Build and run a low-friction movie\/anime recommendation + follow-up loop. Use when a user wants long-term taste profiling from watched\/unfinished\/dropped fee...",
        "tags": {
            "latest": "k9720nevw59rm79epfjx99m5q182p2re"
        },
        "updatedAt": 1773194808552
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}