风险评分

65/100 (Medium)

OpenClaw: suspicious
VirusTotal: benign
StaticScan: clean

canslim-analysis

作者: lkmsteven
Slug:canslim-analysis
版本:1.0.1
更新时间:2026-03-24 14:36:57
风险信息

OpenClaw: suspicious

查看 OpenClaw 分析摘要(前 200 字预览)
The skill appears to implement the described CANSLIM pipeline and does not request secrets or contact unknown endpoints, but there are coherence problems (file path mismatches, an underspecified AI en...

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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": 1773569420024,
        "_id": "k9750p376rapa3448ecm1gkf5s82yccz",
        "changelog": "- Initial public release of the CANSLIM Hybrid Analyzer skill.\n- Provides end-to-end CANSLIM analysis on US stocks via a modular Python pipeline, combining quantitative screening with OpenClaw AI qualitative checks.\n- Enforces a strict JSON schema at each stage for full auditability and deterministic handoffs.\n- Outputs a final ranked shortlist of top CANSLIM candidates, including transparent met\/missed criteria and AI catalyst commentary.\n- Includes robust execution and failure handling instructions, with detailed process and output formatting guidance.",
        "changelogSource": "user",
        "createdAt": 1773569420024,
        "version": "1.0.1"
    },
    "owner": {
        "_creationTime": 0,
        "_id": "publishers:missing",
        "displayName": "lkmsteven",
        "handle": "lkmsteven",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/11247425?v=4",
        "kind": "user",
        "linkedUserId": "kn74s1whw662c1a0kpk2jqd3vd82xv04"
    },
    "ownerHandle": "lkmsteven",
    "skill": {
        "_creationTime": 1773569420024,
        "_id": "kd7287mmw34vvtc2zth25shahn82yvmb",
        "badges": [],
        "createdAt": 1773569420024,
        "displayName": "canslim-analysis",
        "latestVersionId": "k9750p376rapa3448ecm1gkf5s82yccz",
        "ownerUserId": "kn74s1whw662c1a0kpk2jqd3vd82xv04",
        "slug": "canslim-analysis",
        "stats": {
            "comments": 0,
            "downloads": 104,
            "installsAllTime": 0,
            "installsCurrent": 0,
            "stars": 0,
            "versions": 1
        },
        "summary": "Executes a hybrid quantitative and qualitative CANSLIM analysis on US stocks using a fixed schema and a modular Python pipeline, returning a ranked shortlist.",
        "tags": {
            "latest": "k9750p376rapa3448ecm1gkf5s82yccz"
        },
        "updatedAt": 1774334217499
    }
}