100/100 (Very Low)

OpenClaw： benign
VirusTotal： benign
StaticScan： clean

OpenClaw： benign

The skill's code and instructions are coherent with its stated purpose: it runs a local Python analyzer that fetches S&P 500 tickers and market data (via Wikipedia and yfinance), computes CANSLIM-styl...

[内容已截断]

VirusTotal： benign VT 报告

静态扫描： clean

No suspicious patterns detected.

README 未提供

{
    "latestVersion": {
        "_creationTime": 1773478232482,
        "_id": "k97dd8rvcckf7akywhrxbxwxmd82xzze",
        "changelog": "CANSLIM-Top100-US v1.0.0 Changelog\n\n- Initial release of the CANSLIM-Top100-US skill.\n- Enables analysis of the top 100 S&P 500 companies using CANSLIM-style signals.\n- Runs a local Python script to rank and summarize the strongest candidates in a Markdown table.\n- Provides clear execution steps, output format, guidance on interpreting results, and detailed error handling.",
        "changelogSource": "user",
        "createdAt": 1773478232482,
        "version": "1.0.0"
    },
    "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": 1773478232482,
        "_id": "kd7cjce9tqsavpp7j2xq0yz64582wz09",
        "badges": [],
        "createdAt": 1773478232482,
        "displayName": "CANSLIM-Top100-US",
        "latestVersionId": "k97dd8rvcckf7akywhrxbxwxmd82xzze",
        "ownerUserId": "kn74s1whw662c1a0kpk2jqd3vd82xv04",
        "slug": "canslim-top100-us",
        "stats": {
            "comments": 0,
            "downloads": 120,
            "installsAllTime": 0,
            "installsCurrent": 0,
            "stars": 0,
            "versions": 1
        },
        "summary": "Analyze the top 100 S&P 500 companies by market capitalization using CANSLIM-style signals and return a ranked shortlist in Markdown.",
        "tags": {
            "latest": "k97dd8rvcckf7akywhrxbxwxmd82xzze"
        },
        "updatedAt": 1773480111120
    }
}