风险评分

91/100 (Very Low)

OpenClaw: benign
VirusTotal: unknown
StaticScan: clean

Sports Highlight Editor

作者: nemovideonemo
Slug:sports-highlight-editor
版本:1.0.4
更新时间:2026-03-29 04:26:48
风险信息

OpenClaw: benign

查看 OpenClaw 分析摘要
The skill's requested credentials, files, and runtime instructions are consistent with a cloud-based video highlight editing service and do not ask for unrelated secrets or system-wide privileges.

VirusTotal: unknown VT 报告

静态扫描: clean

No suspicious patterns detected.
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原始 JSON 数据
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        "changelog": "- Changed environment variable requirements: NEMO_TOKEN is now explicitly listed as required in metadata.\n- Added apiDomain field and updated endpoint URLs to use fixed, explicit values instead of variable references.\n- Removed the conversational greeting and auto-setup instructions from the documentation.\n- Clarified SSE handling instructions and silent response fallback behavior.\n- Minor formatting and structural improvements to streamline documentation for users and integrators.",
        "changelogSource": "auto",
        "createdAt": 1774729512752,
        "parsed": {
            "clawdis": {
                "emoji": "🏆",
                "primaryEnv": "NEMO_TOKEN",
                "requires": {
                    "env": [
                        "NEMO_TOKEN"
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                }
            }
        },
        "version": "1.0.4"
    },
    "owner": {
        "_creationTime": 0,
        "_id": "s17c56de20yw6z2ta3xyp1jcph83hj89",
        "displayName": "nemovideonemo",
        "handle": "nemovideonemo",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/251312423?v=4",
        "kind": "user",
        "linkedUserId": "kn7336tcctfq78s5q5azsg1q4n831td1"
    },
    "ownerHandle": "nemovideonemo",
    "skill": {
        "_creationTime": 1774435934080,
        "_id": "kd794pry80043t2pwqed44qh3983kv5b",
        "badges": [],
        "createdAt": 1774435934080,
        "displayName": "Sports Highlight Editor",
        "latestVersionId": "k97c0xkznh9t040s484fa6zrch83s1tm",
        "ownerPublisherId": "s17c56de20yw6z2ta3xyp1jcph83hj89",
        "ownerUserId": "kn7336tcctfq78s5q5azsg1q4n831td1",
        "slug": "sports-highlight-editor",
        "stats": {
            "comments": 0,
            "downloads": 82,
            "installsAllTime": 0,
            "installsCurrent": 0,
            "stars": 0,
            "versions": 5
        },
        "summary": "The sports-highlight-editor skill analyzes raw game footage and automatically identifies peak moments — goals, dunks, sprints, saves, and crowd reactions — t...",
        "tags": {
            "latest": "k97c0xkznh9t040s484fa6zrch83s1tm"
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}