风险评分

100/100 (Very Low)

OpenClaw: benign
VirusTotal: benign
StaticScan: clean

Weread Reading Recommender

作者: CengSin
Slug:weread-reading-recommender
版本:1.0.1
更新时间:2026-03-19 18:01:52
风险信息

OpenClaw: benign

查看 OpenClaw 分析摘要(前 200 字预览)
The skill is internally consistent: it is a local-first WeRead exporter/normalizer that only asks for a local WeRead cookie and uses included Python scripts to call weread.qq.com APIs and produce reco...

[内容已截断]

VirusTotal: benign VT 报告

静态扫描: clean

No suspicious patterns detected.
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原始 JSON 数据
{
    "latestVersion": {
        "_creationTime": 1773912602244,
        "_id": "k977ja9g5gmj7w43fpky2yd2fh837h18",
        "changelog": "- Added planning and reference documentation: PLAN.md, SPEC.md, TODO.md\n- Removed default data files: data\/weread-raw.json and data\/weread-normalized.json\n- No functional or workflow changes; updates focus on documentation and project organization.",
        "changelogSource": "auto",
        "createdAt": 1773912602244,
        "version": "1.0.1"
    },
    "owner": {
        "_creationTime": 0,
        "_id": "publishers:missing",
        "displayName": "CengSin",
        "handle": "cengsin",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/23357893?v=4",
        "kind": "user",
        "linkedUserId": "kn77cycadpdkbmm27rptg7mw1982phrz"
    },
    "ownerHandle": "cengsin",
    "skill": {
        "_creationTime": 1773912369261,
        "_id": "kd76zmj0s1s3ta3gj9wandv1e9836em5",
        "badges": [],
        "createdAt": 1773912369261,
        "displayName": "Weread Reading Recommender",
        "latestVersionId": "k977ja9g5gmj7w43fpky2yd2fh837h18",
        "ownerUserId": "kn77cycadpdkbmm27rptg7mw1982phrz",
        "slug": "weread-reading-recommender",
        "stats": {
            "comments": 0,
            "downloads": 45,
            "installsAllTime": 0,
            "installsCurrent": 0,
            "stars": 0,
            "versions": 2
        },
        "summary": "Use this skill when the user wants to export local WeRead records, normalize WeRead data, analyze reading preferences from WeRead history, or get book recomm...",
        "tags": {
            "latest": "k977ja9g5gmj7w43fpky2yd2fh837h18"
        },
        "updatedAt": 1773914512196
    }
}