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Aliyun Qwen Asr Realtime

Name: Aliyun Qwen Asr Realtime
Author: cinience

作者 cinience · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ⚠ suspicious

101

总下载

当前安装

版本数

在 OpenClaw 中安装

/install aliyun-qwen-asr-realtime

功能描述

Use when low-latency realtime speech recognition is needed with Alibaba Cloud Model Studio Qwen ASR Realtime models, including streaming microphone input, li...

使用说明 (SKILL.md)

Category: provider

Model Studio Qwen ASR Realtime

Validation

mkdir -p output/aliyun-qwen-asr-realtime
python -m py_compile skills/ai/audio/aliyun-qwen-asr-realtime/scripts/prepare_realtime_asr_request.py && echo "py_compile_ok" > output/aliyun-qwen-asr-realtime/validate.txt

Pass criteria: command exits 0 and output/aliyun-qwen-asr-realtime/validate.txt is generated.

Output And Evidence

Save session payloads and response samples under output/aliyun-qwen-asr-realtime/.

Critical model names

Use one of these exact model strings:

qwen3-asr-flash-realtime
qwen3-asr-flash-realtime-2026-02-10

Use cases

Realtime subtitles and captions
Voice-agent duplex input
Streaming speech-to-text in browser or terminal clients

Prerequisites

Set DASHSCOPE_API_KEY in your environment, or add dashscope_api_key to ~/.alibabacloud/credentials.
Realtime sessions generally require WebSocket or streaming session handling in the client.

Normalized interface (asr.realtime)

Request

model (string, optional): default qwen3-asr-flash-realtime
language_hints (array\x3Cstring>, optional)
format (string, optional): e.g. pcm, wav
sample_rate (int, optional): e.g. 16000
chunk_ms (int, optional): frame size in milliseconds

Response

text (string): recognized transcript fragment
is_final (bool): finalization marker
usage (object, optional)

Quick start

Generate a request template:

python skills/ai/audio/aliyun-qwen-asr-realtime/scripts/prepare_realtime_asr_request.py \
  --output output/aliyun-qwen-asr-realtime/request.json

Operational guidance

Prefer 16kHz mono PCM unless your client stack requires another format.
Keep chunks small enough for responsive partial results.
If you only have recorded files, use skills/ai/audio/aliyun-qwen-asr/ instead.

References

references/sources.md

安全使用建议

This skill appears to implement what it claims (a small helper and documentation for Alibaba Qwen ASR realtime), but the package metadata omits the credential and config-path requirements declared in SKILL.md. Before installing or providing credentials: 1) Verify the upstream source and trustworthiness (homepage/source unknown). 2) Confirm that DASHSCOPE_API_KEY is the correct and expected credential for your Alibaba account and not a misnamed secret; prefer using a dedicated API key with limited scope. 3) Prefer setting the API key in a process environment variable rather than adding secrets to ~/.alibabacloud/credentials unless you trust the code and know what will read that file. 4) Ask the publisher to update the skill metadata to explicitly declare required env vars (primaryEnv) and config paths so you can make an informed decision. 5) Monitor outputs written to output/aliyun-qwen-asr-realtime and avoid placing sensitive audio or transcripts there until you confirm behavior.

功能分析

Type: OpenClaw Skill Name: aliyun-qwen-asr-realtime Version: 1.0.0 The skill bundle is a straightforward utility for generating request templates for Alibaba Cloud's Qwen ASR Realtime service. The Python script `scripts/prepare_realtime_asr_request.py` performs simple JSON serialization to a local file without any network activity, credential access, or suspicious execution logic. All instructions in `SKILL.md` are aligned with the stated purpose of configuring speech-to-text parameters.

能力评估

⚠ Purpose & Capability

The skill's stated purpose (Qwen ASR realtime on Alibaba Cloud) aligns with the included script and docs. However, the SKILL.md requires an Alibaba credential (DASHSCOPE_API_KEY or dashscope_api_key in ~/.alibabacloud/credentials) while the registry metadata lists no required environment variables or config paths — this mismatch is unexpected and unexplained.

ℹ Instruction Scope

Runtime instructions are narrowly scoped: generate a sample JSON payload, validate the Python script, and save session payloads under an output directory. They do instruct users to provide a DASHSCOPE_API_KEY or place credentials in ~/.alibabacloud/credentials — access to that home config file is implied but not declared in metadata.

✓ Install Mechanism

No install spec is present and included code is a small local Python helper; nothing is downloaded or installed. This is low-risk from an install perspective.

⚠ Credentials

The SKILL.md requires DASHSCOPE_API_KEY (or adding dashscope_api_key to ~/.alibabacloud/credentials), which is appropriate for an Alibaba Cloud integration. But the skill metadata does not declare that environment variable or the config path; required credentials should be declared explicitly (primaryEnv missing). The credential naming (DASHSCOPE_*) is unusual compared with standard Alibaba keys — verify it is legitimate.

✓ Persistence & Privilege

The skill does not request permanent or elevated platform privileges (always:false). It does not attempt to modify other skills or system-wide settings.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install aliyun-qwen-asr-realtime
安装完成后，直接呼叫该 Skill 的名称或使用 /aliyun-qwen-asr-realtime 触发
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

Initial release supporting Alibaba Cloud Qwen ASR Realtime speech recognition. - Provides low-latency realtime speech recognition with Qwen ASR Realtime models. - Supports use cases such as live captions, streaming microphone input, and duplex voice agents. - Exposes a normalized asr.realtime interface for request and response handling. - Includes setup, model selection, and operational usage guidance. - Requires a valid DASHSCOPE_API_KEY for operation.

元数据

Slug aliyun-qwen-asr-realtime

版本 1.0.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

常见问题