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cinience/alicloud-skills96 installs

alicloud-ai-audio-cosyvoice-voice-design

Use when designing custom voices with Alibaba Cloud Model Studio CosyVoice customization models, especially cosyvoice-v3.5-plus or cosyvoice-v3.5-flash, from a voice prompt plus preview text before using the returned voice_id in TTS.

How do I install this agent skill?

npx skills add https://github.com/cinience/alicloud-skills --skill alicloud-ai-audio-cosyvoice-voice-design
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    This skill provides tools for designing custom voices using Alibaba Cloud's CosyVoice service. It includes a script to prepare API requests and documentation for endpoints. All identified behaviors, including network references to Alibaba Cloud and local command execution for script validation, are standard for this type of integration and pose no security risk.

  • Socketpass

    No alerts

  • Snykpass

    Risk: LOW · No issues

  • Runlayerwarn

    3/6 files flagged

What does this agent skill do?

Category: provider

Model Studio CosyVoice Voice Design

Use the CosyVoice voice enrollment API to create designed voices from a natural-language voice description.

Critical model names

Use model="voice-enrollment" and one of these target_model values:

  • cosyvoice-v3.5-plus
  • cosyvoice-v3.5-flash
  • cosyvoice-v3-plus
  • cosyvoice-v3-flash

Recommended default in this repo:

  • target_model="cosyvoice-v3.5-plus"

Region and compatibility

  • cosyvoice-v3.5-plus and cosyvoice-v3.5-flash are available only in China mainland deployment mode (Beijing endpoint).
  • In international deployment mode (Singapore endpoint), cosyvoice-v3-plus and cosyvoice-v3-flash do not support voice clone/design.
  • The target_model must match the later speech synthesis model.

Endpoint

  • Domestic: https://dashscope.aliyuncs.com/api/v1/services/audio/tts/customization
  • International: https://dashscope-intl.aliyuncs.com/api/v1/services/audio/tts/customization

Prerequisites

  • Set DASHSCOPE_API_KEY in your environment, or add dashscope_api_key to ~/.alibabacloud/credentials.

Normalized interface (cosyvoice.voice_design)

Request

  • model (string, optional): fixed to voice-enrollment
  • target_model (string, optional): default cosyvoice-v3.5-plus
  • prefix (string, required): letters/digits only, max 10 chars
  • voice_prompt (string, required): max 500 chars, Chinese or English only
  • preview_text (string, required): max 200 chars, Chinese or English
  • language_hints (array[string], optional): zh or en, and should match preview_text
  • sample_rate (int, optional): e.g. 24000
  • response_format (string, optional): e.g. wav

Response

  • voice_id (string)
  • request_id (string)
  • status (string, optional)

Operational guidance

  • Keep voice_prompt concrete: timbre, age range, pace, emotion, articulation, and scenario.
  • If language_hints is used, it should match the language of preview_text.
  • Designed voice names include a -vd- marker in the generated backend naming convention.

Local helper script

Prepare a normalized request JSON:

python skills/ai/audio/alicloud-ai-audio-cosyvoice-voice-design/scripts/prepare_cosyvoice_design_request.py \
  --target-model cosyvoice-v3.5-plus \
  --prefix announcer \
  --voice-prompt "沉稳的中年男性播音员,低沉有磁性,语速平稳,吐字清晰。" \
  --preview-text "各位听众朋友,大家好,欢迎收听晚间新闻。" \
  --language-hint zh

Validation

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

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

Output And Evidence

  • Save artifacts, command outputs, and API response summaries under output/alicloud-ai-audio-cosyvoice-voice-design/.
  • Include target_model, prefix, voice_prompt, and preview_text in the evidence file.

References

  • references/api_reference.md
  • references/sources.md

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

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