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Alicloud Ai Audio Tts Voice Clone

by cinience · GitHub ↗ · v1.0.2 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install alicloud-ai-audio-tts-voice-clone
Description
Voice cloning workflows with Alibaba Cloud Model Studio Qwen TTS VC models. Use when creating cloned voices from sample audio and synthesizing text with clon...
README (SKILL.md)

Category: provider

Model Studio Qwen TTS Voice Clone

Use voice cloning models to replicate timbre from enrollment audio samples.

Critical model names

Use one of these exact model strings:

  • qwen3-tts-vc-2026-01-22
  • qwen3-tts-vc-realtime-2026-01-15

Prerequisites

  • Install SDK in a virtual environment:
python3 -m venv .venv
. .venv/bin/activate
python -m pip install dashscope
  • Set DASHSCOPE_API_KEY in your environment, or add dashscope_api_key to ~/.alibabacloud/credentials.

Normalized interface (tts.voice_clone)

Request

  • text (string, required)
  • voice_sample (string | bytes, required) enrollment sample
  • voice_name (string, optional)
  • stream (bool, optional)

Response

  • audio_url (string) or streaming PCM chunks
  • voice_id (string)
  • request_id (string)

Operational guidance

  • Use clean speech samples with low background noise.
  • Respect consent and policy requirements for cloned voices.
  • Persist generated voice_id and reuse for future synthesis requests.

Local helper script

Prepare a normalized request JSON and validate response schema:

.venv/bin/python skills/ai/audio/alicloud-ai-audio-tts-voice-clone/scripts/prepare_voice_clone_request.py \
  --text "Welcome to this voice-clone demo" \
  --voice-sample "https://example.com/voice-sample.wav"

Output location

  • Default output: output/ai-audio-tts-voice-clone/audio/
  • Override base dir with OUTPUT_DIR.

Validation

mkdir -p output/alicloud-ai-audio-tts-voice-clone
for f in skills/ai/audio/alicloud-ai-audio-tts-voice-clone/scripts/*.py; do
  python3 -m py_compile "$f"
done
echo "py_compile_ok" > output/alicloud-ai-audio-tts-voice-clone/validate.txt

Pass criteria: command exits 0 and output/alicloud-ai-audio-tts-voice-clone/validate.txt is generated.

Output And Evidence

  • Save artifacts, command outputs, and API response summaries under output/alicloud-ai-audio-tts-voice-clone/.
  • Include key parameters (region/resource id/time range) in evidence files for reproducibility.

Workflow

  1. Confirm user intent, region, identifiers, and whether the operation is read-only or mutating.
  2. Run one minimal read-only query first to verify connectivity and permissions.
  3. Execute the target operation with explicit parameters and bounded scope.
  4. Verify results and save output/evidence files.

References

  • references/sources.md
Usage Guidance
This skill appears to implement Alibaba Cloud Qwen TTS voice cloning, but there are a few things to check before installing: (1) The SKILL.md requires an API key (DASHSCOPE_API_KEY) or entries in ~/.alibabacloud/credentials, yet the registry metadata does not declare any required credentials — ask the publisher to add a primaryEnv and list required env vars. (2) The instructions call for pip installing 'dashscope' — verify that 'dashscope' is an official/expected SDK (check PyPI, the maintainer, and project homepage) before installing, and prefer creating an isolated virtualenv as recommended. (3) Confirm you are comfortable providing Alibaba Cloud credentials to any code that will use them and that you have consent for cloning any voice samples. (4) Optionally review the pip package source or run the helper script in a sandbox to inspect behavior. If the publisher clarifies the missing metadata and the dashscope package provenance checks out, the skill's behavior appears coherent with its stated purpose.
Capability Analysis
Type: OpenClaw Skill Name: alicloud-ai-audio-tts-voice-clone Version: 1.0.2 The skill bundle provides a legitimate interface for Alibaba Cloud's Qwen TTS voice cloning service. It includes a helper script (scripts/prepare_voice_clone_request.py) for formatting API requests and instructions for using the official 'dashscope' SDK. No malicious behaviors, data exfiltration, or suspicious execution patterns were identified.
Capability Assessment
Purpose & Capability
The name and description describe Alibaba Cloud Qwen TTS voice cloning and the SKILL.md instructs installing a cloud SDK and using an API key or Alibaba credentials, which is coherent for that purpose. However, the registry metadata declares no required environment variables or primary credential while the instructions explicitly require DASHSCOPE_API_KEY or ~/.alibabacloud/credentials — an inconsistency.
Instruction Scope
The SKILL.md stays within the voice-clone scope: it instructs creating a venv, installing a SDK, preparing request JSON, running a read-only connectivity check, performing the operation, and saving outputs. It does not instruct reading unrelated system files or exfiltrating data. The only access outside the skill's domain is the optional ~/.alibabacloud/credentials file (appropriate for cloud credentials).
Install Mechanism
There is no formal install spec in the registry (instruction-only), but SKILL.md requires 'python -m pip install dashscope'. Using pip is typical for Python SDKs, but the package 'dashscope' is not otherwise referenced in metadata and its provenance is unknown here — this is a moderate risk and worth verifying (is it an official Alibaba package or third-party wrapper?).
Credentials
The runtime instructions require DASHSCOPE_API_KEY or adding credentials to ~/.alibabacloud/credentials, which is appropriate for calling Alibaba Cloud APIs. However, the skill metadata lists no required env vars or primary credential, creating a missing-declaration problem. The requested secrets themselves (API key or standard Alibaba credentials) are proportional to the stated purpose, but the omission in metadata reduces transparency.
Persistence & Privilege
The skill is instruction-only, has no install spec that writes system files, does not request 'always: true', and does not declare changes to other skills or system-wide config. It asks you to persist voice_id locally (reasonable for reuse) and to save outputs under an output/ path which is expected behavior.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install alicloud-ai-audio-tts-voice-clone
  3. After installation, invoke the skill by name or use /alicloud-ai-audio-tts-voice-clone
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.2
batch publish from alicloud-skills on 2026-03-11
v1.0.1
sync from alicloud-skills repo
v1.0.0
Initial release of Alibaba Cloud AI voice cloning skill. - Enables voice cloning using Alibaba Cloud Model Studio Qwen TTS VC models. - Supports enrollment of voice samples and text-to-speech synthesis with cloned timbre. - Details required model names and interface for requests and responses. - Provides setup instructions, usage guidance, and helper script. - Describes output storage and key prerequisites for use.
Metadata
Slug alicloud-ai-audio-tts-voice-clone
Version 1.0.2
License MIT-0
All-time Installs 4
Active Installs 4
Total Versions 3
Frequently Asked Questions

What is Alicloud Ai Audio Tts Voice Clone?

Voice cloning workflows with Alibaba Cloud Model Studio Qwen TTS VC models. Use when creating cloned voices from sample audio and synthesizing text with clon... It is an AI Agent Skill for Claude Code / OpenClaw, with 943 downloads so far.

How do I install Alicloud Ai Audio Tts Voice Clone?

Run "/install alicloud-ai-audio-tts-voice-clone" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Alicloud Ai Audio Tts Voice Clone free?

Yes, Alicloud Ai Audio Tts Voice Clone is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Alicloud Ai Audio Tts Voice Clone support?

Alicloud Ai Audio Tts Voice Clone is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Alicloud Ai Audio Tts Voice Clone?

It is built and maintained by cinience (@cinience); the current version is v1.0.2.

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