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Qwen Tts

作者 woodylan · GitHub ↗ · v1.0.2 · MIT-0
cross-platform ⚠ suspicious
99
总下载
0
收藏
0
当前安装
3
版本数
在 OpenClaw 中安装
/install qwen-tts-lan
功能描述
阿里云千问语音合成(TTS)技能,支持将文本转换为自然语音。当用户要求朗读、语音合成、文字转语音、TTS、读一段话、把文字转成声音时使用。支持多种音色(中文/英文/方言),支持流式输出边合成边播放。
安全使用建议
This skill appears to implement the described TTS functionality, but the registry metadata incorrectly omits required environment variables and binaries. Before installing or using it: 1) verify you trust the source (homepage is missing). 2) Expect to provide DASHSCOPE_API_KEY for TTS and, only if you use speak_and_send.py, FEISHU_APP_ID/FEISHU_APP_SECRET/FEISHU_USER_ID to send audio to Feishu. 3) Ensure ffmpeg, jq, python3 and the Python requests library are available. 4) Be aware that text you submit will be sent to Dashscope/Aliyun and (if using the send script) audio will be uploaded to Feishu — avoid sending sensitive content. 5) Prefer running the scripts in a sandbox first and consider rotating any API keys used. Finally, ask the publisher or maintainer to correct the registry metadata to accurately list required env vars and binaries.
功能分析
Type: OpenClaw Skill Name: qwen-tts-lan Version: 1.0.2 The skill bundle provides legitimate Text-to-Speech (TTS) functionality using Alibaba's DashScope API and optional integration with Feishu for sending audio messages. The scripts (speak.sh and speak_and_send.py) use standard tools like curl, ffmpeg, and the requests library to process audio and interact with official APIs, with no evidence of data exfiltration, malicious execution, or prompt injection.
能力评估
Purpose & Capability
The declared purpose (Qwen TTS using 千问/Dashscope) matches the scripts and documentation: they call Dashscope TTS endpoints and produce audio. However, the registry metadata lists no required environment variables or binaries while SKILL.md and the shipped scripts clearly require DASHSCOPE_API_KEY and optional FEISHU_* credentials, plus ffmpeg, jq, python3 and requests. The omission in metadata is an inconsistency that reduces transparency.
Instruction Scope
SKILL.md and the scripts limit behavior to building requests to Dashscope, downloading the returned audio, converting formats, and optionally uploading to Feishu. They do not attempt to read unrelated system files or credentials. The instructions explicitly state which env vars are needed and which scripts need Feishu creds.
Install Mechanism
No install spec is provided (instruction-only skill with included scripts) so nothing is auto-downloaded or executed during install. This is lower risk. The included scripts are plain Bash/Python and call standard network endpoints; there are no obfuscated downloads or third-party archive installations.
Credentials
The environment variables required by the scripts (DASHSCOPE_API_KEY, and optionally FEISHU_APP_ID, FEISHU_APP_SECRET, FEISHU_USER_ID) are reasonable and proportional to the stated functionality. The concern is that the registry metadata declares 'Required env vars: none' and 'Required binaries: none', which is inaccurate and could mislead users about the secrets and tools the skill needs.
Persistence & Privilege
The skill is not always-enabled and is user-invocable; it does not request elevated or persistent platform privileges. It does make outbound network calls to Dashscope and optionally Feishu when used, which is expected for a TTS/sending skill.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install qwen-tts-lan
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /qwen-tts-lan 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.2
修复文档不一致:speak.sh 不需要飞书凭证,SKILL.md 明确区分基础配置和飞书配置
v1.0.1
修复安全问题:移除硬编码凭证,改为环境变量配置,明确告知飞书上传行为
v1.0.0
千问 TTS 语音合成,支持 Nofish 等音色,末尾自动加静音,发送到飞书
元数据
Slug qwen-tts-lan
版本 1.0.2
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 3
常见问题

Qwen Tts 是什么?

阿里云千问语音合成(TTS)技能,支持将文本转换为自然语音。当用户要求朗读、语音合成、文字转语音、TTS、读一段话、把文字转成声音时使用。支持多种音色(中文/英文/方言),支持流式输出边合成边播放。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 99 次。

如何安装 Qwen Tts?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install qwen-tts-lan」即可一键安装,无需额外配置。

Qwen Tts 是免费的吗?

是的,Qwen Tts 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Qwen Tts 支持哪些平台?

Qwen Tts 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Qwen Tts?

由 woodylan(@lanlan314)开发并维护,当前版本 v1.0.2。

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