风险评分

65/100 (Medium)

OpenClaw: unknown
VirusTotal: unknown
StaticScan: unknown

Voice Chat Bridge

作者: zhangqinghua2015
Slug:voice-chat
版本:2.1.1
更新时间:2026-03-30 17:06:48
风险信息

OpenClaw: unknown

VirusTotal: unknown

静态扫描: unknown

README

README 未提供

文件列表

无文件信息

下载
下载官方 ZIP
原始 JSON 数据
{
    "latestVersion": {
        "_creationTime": 1774861520325,
        "_id": "k97an5dm5ftmjyvafsw7hrt8rx83w5tn",
        "changelog": "- Added complete auto-loop for voice messaging: receive, transcribe, analyze, TTS reply, and send back in chat.\n- Now supports both Telegram and Feishu voice\/audio messages automatically.\n- Integrates Vosk for local speech-to-text and edge-tts for speech synthesis (OGG\/Opus).\n- Current LLM step is a placeholder with simple replies; ready for future LLM integration in code.\n- Outputs transcript, reply text, and path to generated voice file for each message.",
        "changelogSource": "auto",
        "createdAt": 1774861520325,
        "version": "2.1.1"
    },
    "owner": {
        "_creationTime": 0,
        "_id": "s1767nbckk498rpv2c74mc4xex83ma2s",
        "displayName": "zhangqinghua2015",
        "handle": "zhangqinghua2015",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/15626167?v=4",
        "kind": "user",
        "linkedUserId": "kn71bmsgcm0zqgea0agykg3kxh83m91p"
    },
    "ownerHandle": "zhangqinghua2015",
    "skill": {
        "_creationTime": 1774861520325,
        "_id": "kd76g6dcwv9h7wjakzvea8kqtn83x56q",
        "badges": [],
        "createdAt": 1774861520325,
        "displayName": "Voice Chat Bridge",
        "latestVersionId": "k97an5dm5ftmjyvafsw7hrt8rx83w5tn",
        "ownerPublisherId": "s1767nbckk498rpv2c74mc4xex83ma2s",
        "ownerUserId": "kn71bmsgcm0zqgea0agykg3kxh83m91p",
        "slug": "voice-chat",
        "stats": {
            "comments": 0,
            "downloads": 0,
            "installsAllTime": 0,
            "installsCurrent": 0,
            "stars": 0,
            "versions": 1
        },
        "summary": "自动将 Telegram 或飞书语音消息转写为文字,利用 LLM 分析后生成语音回复并自动发送,实现完整语音互动闭环。",
        "tags": {
            "latest": "k97an5dm5ftmjyvafsw7hrt8rx83w5tn"
        },
        "updatedAt": 1774861608466
    }
}