风险评分

94/100 (Very Low)

OpenClaw: benign
VirusTotal: benign
StaticScan: unknown

humanizer-zh

作者: liuxy951129-cpu
Slug:humanizer-zh
版本:1.0.0
更新时间:2026-02-26 07:10:36
风险信息

OpenClaw: benign

查看 OpenClaw 分析摘要(前 200 字预览)
The skill is internally consistent with its stated purpose (humanizing Chinese text to remove AI-like patterns); it is instruction-only, requests no credentials, and contains no install or network cal...

[内容已截断]

VirusTotal: benign 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": 1770692774916,
        "_id": "k979ftchea2g6301xbm61xy9qx80w3vs",
        "changelog": "humanizer-zh 1.0.0 发布说明\n\n- 首次发布中文“去除 AI 写作痕迹”技能,基于维基百科和相关 AI 文本识别社区指南。\n- 明确列出 24 种常见 AI 写作模式及具体示例,包括夸大语言、三段式、AI 词汇、模糊归因等。\n- 详细提供针对每种模式的改写方法及前后对比,附带内容与语言风格的操作建议。\n- 补充“注入灵魂”写作指导,强调人性化表达和节奏变化。\n- 内置编辑流程、快速检查清单和 50 分制质量评分标准,用于自查与复评。",
        "changelogSource": "user",
        "createdAt": 1770692774916,
        "version": "1.0.0"
    },
    "owner": {
        "_creationTime": 0,
        "_id": "publishers:missing",
        "displayName": "liuxy951129-cpu",
        "handle": "liuxy951129-cpu",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/224784282?v=4",
        "kind": "user",
        "linkedUserId": "kn7328y2vg26bvy1962e2ntvmh80pnd3"
    },
    "ownerHandle": "liuxy951129-cpu",
    "skill": {
        "_creationTime": 1770692774916,
        "_id": "kd7a5mexv1my185pajkatst2dn80xjzb",
        "badges": [],
        "createdAt": 1770692774916,
        "displayName": "humanizer-zh",
        "latestVersionId": "k979ftchea2g6301xbm61xy9qx80w3vs",
        "ownerUserId": "kn7328y2vg26bvy1962e2ntvmh80pnd3",
        "slug": "humanizer-zh",
        "stats": {
            "comments": 0,
            "downloads": 6507,
            "installsAllTime": 150,
            "installsCurrent": 145,
            "stars": 14,
            "versions": 1
        },
        "summary": "去除文本中的 AI 生成痕迹。适用于编辑或审阅文本,使其听起来更自然、更像人类书写。\n基于维基百科的\"AI 写作特征\"综合指南。检测并修复以下模式:夸大的象征意义、\n宣传性语言、以 -ing 结尾的肤浅分析、模糊的归因、破折号过度使用、三段式法则、\nAI 词汇、否定式排比、过多的连接性短语。",
        "tags": {
            "latest": "k979ftchea2g6301xbm61xy9qx80w3vs"
        },
        "updatedAt": 1772061036142
    }
}