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Xiaomi MiMo-V2-TTS

作者 ddpie · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
155
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0
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当前安装
1
版本数
在 OpenClaw 中安装
/install mimo-v2-tts
功能描述
Converts text to speech using Xiaomi MiMo-V2-TTS with support for emotional styles, Chinese dialects, role voices, and singing synthesis.
安全使用建议
This skill appears to implement the advertised Xiaomi MiMo TTS and only needs a MiMo API key and the ability to write the chosen output file. Before installing: (1) be aware the registry metadata omits the required MIMO_API_KEY — you will need to provide that credential (env var or CLI). (2) The script will auto-install 'requests' with pip if missing (network download at runtime). If you trust the Xiaomi MiMo service and the package source (PyPI), this is reasonable; otherwise verify the API domain (api.xiaomimimo.com), consider running the script in a sandboxed environment, and avoid exposing broader credentials. If you need higher assurance, ask the publisher to fix the registry metadata and provide a signed release or vetted install instructions.
功能分析
Type: OpenClaw Skill Name: mimo-v2-tts Version: 1.0.0 The skill provides text-to-speech functionality using the Xiaomi MiMo-V2-TTS API. The implementation in `scripts/mimo_tts.py` correctly follows the documented API requirements, handling authentication via the `MIMO_API_KEY` environment variable and processing base64-encoded audio responses. While the script includes a dynamic installation of the `requests` library via `pip`, this is a common utility pattern for standalone scripts and does not exhibit malicious intent or unauthorized data access.
能力评估
Purpose & Capability
The name, SKILL.md, and script all implement Xiaomi MiMo V2 TTS and only require an API key and an output path, which is coherent with the stated purpose. However, registry metadata lists no required environment variables/primary credential while both SKILL.md and the script require a MIMO_API_KEY (or --api-key). This metadata mismatch is unexpected and should be corrected/clarified.
Instruction Scope
Runtime instructions and the script stay within TTS scope: they call api.xiaomimimo.com, accept style/speed/format, and write audio to a local output path. The agent is not instructed to read unrelated files, system state, or transmit data to other endpoints.
Install Mechanism
There is no formal install spec (instruction-only), but the script will attempt to pip-install the 'requests' package at runtime if missing. That triggers network downloads and execution of pip; it's common but increases runtime behavior compared with a pure instruction-only skill and should be noted.
Credentials
The only secret the script uses is the MiMo API key (MIMO_API_KEY), which is appropriate for an API-backed TTS. The concern is the registry metadata claiming 'no required env vars' while the SKILL.md/script require an API key — this inconsistency could mislead users into installing without providing credentials and reduces transparency.
Persistence & Privilege
The skill does not request persistent/always-enabled privileges and does not modify other skills or global agent configuration. It runs on invocation and writes only the requested audio output file.
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 mimo-v2-tts
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /mimo-v2-tts 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
v1.0.0
Initial release: MiMo-V2-TTS speech synthesis with emotional style control, Chinese dialect support, and singing synthesis
元数据
Slug mimo-v2-tts
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Xiaomi MiMo-V2-TTS 是什么?

Converts text to speech using Xiaomi MiMo-V2-TTS with support for emotional styles, Chinese dialects, role voices, and singing synthesis. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 155 次。

如何安装 Xiaomi MiMo-V2-TTS?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install mimo-v2-tts」即可一键安装,无需额外配置。

Xiaomi MiMo-V2-TTS 是免费的吗?

是的,Xiaomi MiMo-V2-TTS 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Xiaomi MiMo-V2-TTS 支持哪些平台?

Xiaomi MiMo-V2-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 Xiaomi MiMo-V2-TTS?

由 ddpie(@ddpie)开发并维护,当前版本 v1.0.0。

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