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.
npx skills add cinience/alicloud-skills --skill aliyun-qwen-tts-realtimegit clone --depth 1 https://github.com/cinience/alicloud-skillsWrote 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.
[](https://agentmods.dev/skills/cinience/alicloud-skills/aliyun-qwen-tts-realtime)<a href="https://agentmods.dev/skills/cinience/alicloud-skills/aliyun-qwen-tts-realtime"><img src="https://agentmods.dev/badge/skills/cinience/alicloud-skills/aliyun-qwen-tts-realtime/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.
<a href="https://agentmods.dev/skills/cinience/alicloud-skills/aliyun-qwen-tts-realtime"><img src="https://agentmods.dev/badge/skills/cinience/alicloud-skills/aliyun-qwen-tts-realtime.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00047 | $0.00810 |
| Opus 5 | $0.00023 | $0.00405 |
| Sonnet 5 | $0.00009 | $0.00162 |
| Haiku 4.5 | $0.00005 | $0.00081 |
Grade A, and why
aliyun-qwen-tts-realtime 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.
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.
How it starts
The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Category: provider
Model Studio Qwen TTS Realtime
Use realtime TTS models for low-latency streaming speech output.
Critical model names
Use one of these exact model strings:
qwen3-tts-flash-realtimeqwen3-tts-instruct-flash-realtimeqwen3-tts-instruct-flash-realtime-2026-01-22qwen3-tts-vd-realtime-2026-01-15qwen3-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_KEYin your environment, or adddashscope_api_keyto~/.alibabacloud/credentials.
Normalized interface (tts.realtime)
Request
text(string, required)voice(string, required)instruction(string, optional)sample_rate(int, optional)
Response
audio_base64_pcm_chunks(array)sample_rate(int)finish_reason(string)
Operational guidance
- Use websocket or streaming endpoint for realtime mode.
- Keep each utterance short for lower latency.
- For instruction models, keep instruction explicit and concise.
- Some SDK/runtime combinations may reject realtime model calls over
MultiModalConversation; use the probe script below to verify compatibility.
Local demo script
Use the probe script to verify realtime compatibility in your current SDK/runtime, and optionally fallback to a non-realtime model for immediate output:
.venv/bin/python skills/ai/audio/aliyun-qwen-tts-realtime/scripts/realtime_tts_demo.py \
--text "This is a realtime speech demo." \
--fallback \
--output output/ai-audio-tts-realtime/audio/fallback-demo.wav
Strict mode (for CI / gating):
.venv/bin/python skills/ai/audio/aliyun-qwen-tts-realtime/scripts/realtime_tts_demo.py \
--text "realtime health check" \
--strict
Output location
- Default output:
output/ai-audio-tts-realtime/audio/ - Override base dir with
OUTPUT_DIR.
Validation
mkdir -p output/aliyun-qwen-tts-realtime
for f in skills/ai/audio/aliyun-qwen-tts-realtime/scripts/*.py; do
python3 -m py_compile "$f"
done
echo "py_compile_ok" > output/aliyun-qwen-tts-realtime/validate.txt
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.
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.
- 13d ago First seen · 104 lines · 47 tokens per session scan A 4b39cf773f61
aliyun-qwen-tts-realtime is a skill published in the GitHub repository cinience/alicloud-skills (396 stars, last pushed 1mo ago), licensed MIT. It adds 47 tokens to every session and 810 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.
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