风险评分

82/100 (Low)

OpenClaw: benign
VirusTotal: suspicious
StaticScan: clean

Ezviz Open Multimodal Analysis

作者: EzvizOpenTeam
Slug:ezviz-open-multimodal-analysis
版本:1.0.1
更新时间:2026-03-24 14:17:11
风险信息

OpenClaw: benign

查看 OpenClaw 分析摘要(前 200 字预览)
The skill's code, instructions, and required environment variables are consistent with an Ezviz camera multimodal analysis integration; main cautions are the global token cache and the config-file fal...

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VirusTotal: suspicious VT 报告

静态扫描: clean

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原始 JSON 数据
{
    "latestVersion": {
        "_creationTime": 1773839994256,
        "_id": "k978sa3452py2yh6sh8btnerhh835tkr",
        "changelog": "**Summary: This update introduces token caching and enhanced credential\/fallback handling for improved security and efficiency.**\n\n- Added `lib\/token_manager.py` for centralized token management.\n- Implements secure access token caching on disk (`\/tmp\/ezviz_global_token_cache\/global_token_cache.json`), configurable via `EZVIZ_TOKEN_CACHE`.\n- The skill now supports credential fallback: uses environment variables first, then OpenClaw config files as fallback.\n- SKILL.md updated: clarifies token cache, channel config, security recommendations, credential sourcing, and file permissions.\n- No breaking changes; prior environment variable usage remains compatible.",
        "changelogSource": "user",
        "createdAt": 1773839994256,
        "parsed": {
            "clawdis": {
                "emoji": "🧠",
                "primaryEnv": "EZVIZ_APP_KEY",
                "requires": {
                    "env": [
                        "EZVIZ_APP_KEY",
                        "EZVIZ_APP_SECRET",
                        "EZVIZ_DEVICE_SERIAL",
                        "EZVIZ_AGENT_ID"
                    ]
                }
            }
        },
        "version": "1.0.1"
    },
    "owner": {
        "_creationTime": 0,
        "_id": "publishers:missing",
        "displayName": "EzvizOpenTeam",
        "handle": "ezviz-open",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/16202450?v=4",
        "kind": "user",
        "linkedUserId": "kn791t47re4dqsk7s7rwh8zcj982tzbe"
    },
    "ownerHandle": "ezviz-open",
    "skill": {
        "_creationTime": 1773395727775,
        "_id": "kd772my9f4ft5zs2j4a0e557yx82vb56",
        "badges": [],
        "createdAt": 1773395727775,
        "displayName": "Ezviz Open Multimodal Analysis",
        "latestVersionId": "k978sa3452py2yh6sh8btnerhh835tkr",
        "ownerUserId": "kn791t47re4dqsk7s7rwh8zcj982tzbe",
        "slug": "ezviz-open-multimodal-analysis",
        "stats": {
            "comments": 0,
            "downloads": 174,
            "installsAllTime": 0,
            "installsCurrent": 0,
            "stars": 1,
            "versions": 2
        },
        "summary": "萤石多模态理解技能。通过设备抓图 + 智能体分析接口,实现对摄像头画面的 AI 理解分析。 Use when: 需要对监控画面进行智能分析、场景识别、行为理解、物体检测等多模态 AI 分析任务。 ⚠️ 安全要求:必须设置 EZVIZ_APP_KEY 和 EZVIZ_APP_SECRET 环境变量,使用最小权限凭证。",
        "tags": {
            "latest": "k978sa3452py2yh6sh8btnerhh835tkr"
        },
        "updatedAt": 1774333031497
    }
}