aliyun-qwen-tts-voice-clone

aliyun-qwen-tts-voice-clone is a skill for Codex from cinience/alicloud-skills. It costs 44 tokens per session (681 once invoked), scanned A, original, MIT.

A tool for creating a reusable voice style from sample audio with Alibaba Cloud’s Qwen text-to-speech voice-cloning models. It can then turn text into audio using the returned voice identifier.

In plain words
What is it for?
Use it to enroll a voice sample, save its identifier, and synthesize future text with the cloned voice. It is intended for Qwen TTS voice-cloning workflows.
Why use it?
It avoids manually reproducing the same voice setup and provides a consistent request and response format for later speech generation.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to enroll a voice sample, save its identifier, and synthesize future text with the cloned voice. It is intended for Qwen TTS voice-cloning workflows.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cinience/alicloud-skills/aliyun-qwen-tts-voice-clone
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add cinience/alicloud-skills --skill aliyun-qwen-tts-voice-clone
Clone the repo
git clone --depth 1 https://github.com/cinience/alicloud-skills

Made for: Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for aliyun-qwen-tts-voice-clone

README.md
[![agentmods](https://agentmods.dev/badge/skills/cinience/alicloud-skills/aliyun-qwen-tts-voice-clone/github.svg)](https://agentmods.dev/skills/cinience/alicloud-skills/aliyun-qwen-tts-voice-clone)
Your own site
<a href="https://agentmods.dev/skills/cinience/alicloud-skills/aliyun-qwen-tts-voice-clone"><img src="https://agentmods.dev/badge/skills/cinience/alicloud-skills/aliyun-qwen-tts-voice-clone/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for aliyun-qwen-tts-voice-clone

Your own site · 80×15
<a href="https://agentmods.dev/skills/cinience/alicloud-skills/aliyun-qwen-tts-voice-clone"><img src="https://agentmods.dev/badge/skills/cinience/alicloud-skills/aliyun-qwen-tts-voice-clone.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 681 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00044 $0.00681
Opus 5 $0.00022 $0.00341
Sonnet 5 $0.00009 $0.00136
Haiku 4.5 $0.00004 $0.00068

Measured 13d ago against content hash c60abb0d6003, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

aliyun-qwen-tts-voice-clone scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/prepare_voice_clone_request.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/ai/audio/aliyun-qwen-tts-voice-clone/SKILL.md · 91 lines

How it starts

The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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

Pass criteria: command exits 0 and output/aliyun-qwen-tts-voice-clone/validate.txt is generated.

Output And Evidence

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

Read the full file on GitHub · 91 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 13d ago First seen · 91 lines · 44 tokens per session scan A c60abb0d6003

Subscribe to this mod's changes

aliyun-qwen-tts-voice-clone is a skill published in the GitHub repository cinience/alicloud-skills (396 stars, last pushed 1mo ago), licensed MIT. It adds 44 tokens to every session and 681 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens