91/100 (Very Low)

OpenClaw： benign
VirusTotal： unknown
StaticScan： clean

OpenClaw： benign

The skill does what it says: it normalizes a conversation, runs a bundled pipeline script, and (if configured) sends conversation and metadata to a remote classifier/embedding service; the code and de...

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VirusTotal： unknown VT 报告

静态扫描： clean

No suspicious patterns detected.

README 未提供

{
    "latestVersion": {
        "_creationTime": 1774334041093,
        "_id": "k976tmawn2redpca9r122j09ax83gh24",
        "changelog": "- 移除了对 MINOR_DETECTION_EMBEDDING_BASE_URL 和 MINOR_DETECTION_EMBEDDING_API_KEY 的强制依赖配置，仅保留了分类相关的必需环境变量。\n- 精简了元数据和环境依赖的说明，使依赖项与实际需求一致。\n- 其余内容和调用流程保持不变。",
        "changelogSource": "user",
        "createdAt": 1774334041093,
        "parsed": {
            "clawdis": {
                "primaryEnv": "MINOR_DETECTION_CLASSIFIER_API_KEY",
                "requires": {
                    "env": [
                        "MINOR_DETECTION_CLASSIFIER_BASE_URL",
                        "MINOR_DETECTION_CLASSIFIER_API_KEY"
                    ]
                }
            }
        },
        "version": "0.1.5"
    },
    "owner": {
        "_creationTime": 0,
        "_id": "s17f07zq2pkqt5j1ycm7tmswq183g4s7",
        "displayName": "张潇涵",
        "handle": "xiaohanzhang2005",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/164486371?v=4",
        "kind": "user",
        "linkedUserId": "kn77e0vmjxkszavt0qxvj1zb9983e5tr"
    },
    "ownerHandle": "xiaohanzhang2005",
    "skill": {
        "_creationTime": 1774330478016,
        "_id": "kd70yk46hzee623rcrpdv7ngy183hkdr",
        "badges": [],
        "createdAt": 1774330478016,
        "displayName": "minor-detection",
        "latestVersionId": "k976tmawn2redpca9r122j09ax83gh24",
        "ownerPublisherId": "s17f07zq2pkqt5j1ycm7tmswq183g4s7",
        "ownerUserId": "kn77e0vmjxkszavt0qxvj1zb9983e5tr",
        "slug": "minor-detection",
        "stats": {
            "comments": 0,
            "downloads": 14,
            "installsAllTime": 0,
            "installsCurrent": 0,
            "stars": 0,
            "versions": 6
        },
        "summary": "当用户或上层系统需要判断聊天记录中的说话者是否可能是未成年人、青少年、中学生、高中生，或需要对单会话、多会话历史做年龄倾向、校园倾向、学生画像、未成年人风险与证据分析时使用此技能。即使用户没有直接说“未成年人识别”，但需求本质上是判断“像不像未成年用户”、输出未成年人概率、画像、趋势、风险等级或结构化证据，也应激...",
        "tags": {
            "latest": "k976tmawn2redpca9r122j09ax83gh24"
        },
        "updatedAt": 1774334445634
    }
}