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Dlazy Qwen Tts

作者 dlazy · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
43
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1
当前安装
1
版本数
在 OpenClaw 中安装
/install dlazy-qwen-tts
功能描述
Alibaba Bailian qwen3-tts text-to-speech. Choose from curated system voices (including dialects) or design a custom voice from a natural-language description.
使用说明 (SKILL.md)

dlazy-qwen-tts

English · 中文

Alibaba Bailian qwen3-tts text-to-speech. Choose from curated system voices (including dialects) or design a custom voice from a natural-language description.

Trigger Keywords

  • qwen-tts

Authentication

All requests require a dLazy API key. The recommended way to authenticate is:

dlazy login

This runs a device-code flow (also works in remote shells) and automatically saves your API key to the local CLI config — no manual copy/paste required.

Alternative: Set the Key Manually

If you already have an API key, you can save it directly:

dlazy auth set YOUR_API_KEY

The CLI saves the key in your user config directory (~/.dlazy/config.json on macOS/Linux, %USERPROFILE%\.dlazy\config.json on Windows), with file permissions restricted to your OS user account. You can also supply the key per-invocation via the DLAZY_API_KEY environment variable.

Getting Your API Key Manually

  1. Sign in or create an account at dlazy.com
  2. Go to dlazy.com/dashboard/organization/api-key
  3. Copy the key shown in the API Key section

Each key is scoped to your dLazy organization and can be rotated or revoked at any time from the same dashboard.

About & Provenance

You can install on demand without persisting a global binary by running:

npx @dlazy/[email protected] \x3Ccommand>

Or, if you prefer a global install, the skill's metadata.clawdbot.install field declares the exact pinned version (npm install -g @dlazy/[email protected]). Review the GitHub source before installing.

How It Works

This skill is a thin client over the dLazy hosted API. When you invoke it:

  • Prompts and parameters you provide are sent to the dLazy API endpoint (api.dlazy.com) for inference.
  • Any local file paths you pass to image / video / audio fields are uploaded to dLazy's media storage (files.dlazy.com) so the model can read them — the same flow as any cloud-based generation API.
  • Generated output URLs returned by the API are hosted on files.dlazy.com.

This is the standard SaaS pattern; the skill itself does not access network or filesystem resources beyond what the dLazy CLI already handles. See dlazy.com for the full service terms.

Usage

CRITICAL INSTRUCTION FOR AGENT: Execute dlazy qwen-tts to get the result.

dlazy qwen-tts -h

Options:
  --prompt [prompt]                    Prompt
  --generation_mode [generation_mode]  Generation Mode(system=System Voice; design=Designed by Description) [default: system] (choices: "system", "design")
  --voice [voice]                      Voice [default: Cherry] (choices: "Cherry", "Serena", "Ethan", "Chelsie", "Momo", "Vivian", "Moon", "Maia", "Kai", "Nofish", "Bella", "Jennifer", "Ryan", "Katerina", "Aiden", "Eldric Sage", "Mia", "Mochi", "Bellona", "Vincent", "Bunny", "Neil", "Elias", "Arthur", "Nini", "Seren", "Pip", "Stella", "Jada", "Dylan", "Sunny", "Eric", "Rocky", "Kiki", "Peter", "Marcus", "Roy", "Li") [only when generation_mode="system"]
  --voice_prompt [voice_prompt]        Voice Description (describe the voice you want in natural language) [default: ] [only when generation_mode="design"]
  --language_type [language_type]      Language [default: Auto] (choices: "Auto", "Chinese", "English", "Japanese", "Korean", "French", "German", "Italian", "Portuguese", "Russian", "Spanish")
  --dry-run                            Print payload + cost estimate without calling API
  --no-wait                            Return generateId immediately for async tasks
  --timeout \x3Cseconds>                  Max seconds to wait for async completion (default: "1800")
  -h, --help                           display help for command

Any flag also accepts pipe references — - (auto-pick from upstream stdin), @N (n-th output), @N.path (jsonpath into output), @* (all primary values), @stdin / @stdin:path (whole envelope). See dlazy --help for details.

Output Format

{
  "ok": true,
  "result": {
    "tool": "qwen-tts",
    "modelId": "qwen-tts",
    "outputs": [
      {
        "type": "image",
        "id": "o_xxxxxxxx",
        "url": "https://files.dlazy.com/result.png",
        "mimeType": "image/png"
      }
    ]
  }
}

Async tasks (when --no-wait is passed) return outputs: [] and a task: { generateId, status } field instead. Use dlazy status \x3CgenerateId> --wait to poll.

Examples

dlazy qwen-tts --prompt 'prompt content'

Error Handling

Code Error Type Example Message
401 Unauthorized (No API Key) ok: false, code: "unauthorized", message: "API key is missing or invalid"
501 Missing required parameter error: required option '--prompt \x3Cprompt>' not specified
502 Local file read error Error: Image file/Video file not found: C:\path o\your\file
503 API request failed (no balance) ok: false, code: "insufficient_balance"
503 API request failed (server error) HTTP status code error (500 server crash)
504 Asynchronous task execution failed === Generation Failed === / {Specific error reason returned by backend, for example "Prompt violates safety policy"}

AGENT CRITICAL INSTRUCTION:

  1. If the execution result returns code: "insufficient_balance", you MUST explicitly inform the user that their credits are insufficient and guide them to recharge: https://dlazy.com/dashboard/organization/settings?tab=credits
  2. If the execution result returns code: "unauthorized" or indicates missing API key, you MUST inform the user to get their API key from https://dlazy.com/dashboard/organization/api-key and save it using dlazy auth set \x3Ckey> and resume the task.

Tips

Visit https://dlazy.com for more information.

安全使用建议
Install only if you are comfortable with maintainer-oriented skills that can run code review tools over local diffs and, in the autoreview path, grant a nested reviewer full local access by default. For routine use, run autoreview with `--no-yolo` or `AUTOREVIEW_YOLO=0`, and avoid fallback reviewers for confidential code unless you trust those CLIs and their providers.
能力标签
requires-sensitive-credentials
能力评估
Purpose & Capability
The Convex, ClawHub moderation, PR review, and UI proof instructions are coherent with their stated purposes; moderation actions are high impact but include target, reason, confirmation, auth, and audit-log guardrails.
Instruction Scope
The autoreview helper is purpose-aligned, but it runs nested Codex review with approval and sandbox bypass plus danger-full-access by default, with opt-out flags. That is broader authority than a review helper normally needs.
Install Mechanism
The artifact is a set of skill files, references, icons, and one helper script; I found no install hook, package lifecycle script, or automatic execution path in the skill artifacts.
Credentials
The autoreview flow can gather git diffs and send them to Codex or fallback reviewer CLIs, and can auto-run static checks. This is disclosed and relevant to code review, but users should treat it as broad local-code exposure.
Persistence & Privilege
I found no daemon, cron, or persistent background worker in the skill artifacts. The main privilege concern is the default full-access nested reviewer; ClawHub moderation commands are powerful but user-confirmed and audited.
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 dlazy-qwen-tts
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /dlazy-qwen-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
dlazy-qwen-tts 1.1.1 update summary: - Expanded documentation with clear setup, usage, and authentication instructions. - Listed all available voices and voice design options. - Detailed error messages and required user actions for common API errors. - Included sample CLI commands, output formats, and troubleshooting tips. - Updated metadata with install instructions and helpful links.
元数据
Slug dlazy-qwen-tts
版本 1.0.0
许可证 MIT-0
累计安装 1
当前安装数 1
历史版本数 1
常见问题

Dlazy Qwen Tts 是什么?

Alibaba Bailian qwen3-tts text-to-speech. Choose from curated system voices (including dialects) or design a custom voice from a natural-language description. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 43 次。

如何安装 Dlazy Qwen Tts?

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

Dlazy Qwen Tts 是免费的吗?

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

Dlazy Qwen Tts 支持哪些平台?

Dlazy 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 Dlazy Qwen Tts?

由 dlazy(@dlazyai)开发并维护,当前版本 v1.0.0。

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