by 安全扫描
OpenClaw
安全
high confidenceThe skill is internally coherent: it only prepares a Qwen LiveTranslate request payload and contains no unrelated credential requests, network calls, or install steps.
评估建议
This skill is low-risk and does only one thing: create a minimal JSON request for Qwen LiveTranslate models. It does not perform network calls or ask for credentials — you will need to supply Alibaba Cloud credentials (in a separate, appropriate integration) if you want actual translation requests to be sent. Before installing, confirm you trust the source of the skill (source is unknown) and that any later integration that performs network calls will handle credentials securely. If you expect t...详细分析 ▾
✓ 用途与能力
Name/description (Alibaba Qwen LiveTranslate) match the included files: a small helper script and SKILL.md that prepare request payloads for the stated models. The skill does not claim to perform actual network calls, and nothing bundled would require unrelated capabilities.
✓ 指令范围
Runtime instructions only validate and compile the included Python script and save request/response artifacts under output/aliyun-qwen-livetranslate/. The instructions do not read unrelated files, access extra environment variables, or send data to external endpoints.
✓ 安装机制
No install spec or external downloads; the only code is a small local Python script (1 KB) that writes a JSON payload. Low installation risk.
ℹ 凭证需求
The skill requests no environment variables or credentials. Note: to actually call Alibaba Cloud Model Studio APIs in a real integration you would need to provide appropriate Alibaba credentials elsewhere; the absence of credential requests here is consistent with this skill being a local payload preparer but means the skill alone won't perform live networked translation.
✓ 持久化与权限
always is false and the skill does not request persistent or elevated privileges, nor does it modify other skills or system-wide settings.
安全有层次，运行前请审查代码。
运行时依赖
无特殊依赖
版本
latestv1.0.02026/4/1
Initial release of aliyun-qwen-livetranslate skill: - Provides live speech translation using Alibaba Cloud Model Studio Qwen LiveTranslate models. - Supports bilingual meetings, realtime interpretation, and speech-to-speech or speech-to-text translation. - Offers normalized API for translation flows with key model options (`qwen3-livetranslate-flash` and `qwen3-livetranslate-flash-realtime`). - Outputs translation session payloads and summaries for validation and evidence. - Includes a validation script and quick start usage example.
● 无害
安装命令
点击复制官方npx clawhub@latest install aliyun-qwen-livetranslate
镜像加速npx clawhub@latest install aliyun-qwen-livetranslate --registry https://cn.longxiaskill.com 镜像可用
本土化适配说明
Aliyun Qwen Livetranslate — 技能工具 安装说明： 安装命令：npx clawhub@latest install aliyun-qwen-livetranslate 该技能用于淘宝相关操作，可能需要相应的平台账号或API密钥
技能文档
Category: provider
# Model Studio Qwen LiveTranslate
Validation
mkdir -p output/aliyun-qwen-livetranslate
python -m py_compile skills/ai/audio/aliyun-qwen-livetranslate/scripts/prepare_livetranslate_request.py && echo "py_compile_ok" > output/aliyun-qwen-livetranslate/validate.txt
Pass criteria: command exits 0 and output/aliyun-qwen-livetranslate/validate.txt is generated.
Output And Evidence
- Save translation session payloads and response summaries under
output/aliyun-qwen-livetranslate/.
Critical model names
Use one of these exact model strings:
qwen3-livetranslate-flashqwen3-livetranslate-flash-realtime
Typical use
- Chinese/English meeting interpretation
- Live subtitles in another language
- Call-center agent assist with translated captions
Normalized interface (audio.livetranslate)
Request
model(string, optional): defaultqwen3-livetranslate-flashsource_language(string, required)target_language(string, required)audio_format(string, optional): e.g.pcmsample_rate(int, optional): e.g.16000
Response
translated_text(string)source_text(string, optional)audio_urloraudio_chunk(optional, model dependent)
Quick start
python skills/ai/audio/aliyun-qwen-livetranslate/scripts/prepare_livetranslate_request.py \
--source-language zh \
--target-language en \
--output output/aliyun-qwen-livetranslate/request.json
Notes
- Prefer the realtime model for continuous streaming sessions.
- Prefer the non-realtime flash model for simpler integration and lower client complexity.
References
references/sources.md