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在 OpenClaw 中安装
/install qwen-asr
功能描述
Transcribe audio files using Qwen ASR (千问STT). Use when the user sends voice messages and wants them converted to text.
安全使用建议
This skill appears to do what it says: it uploads audio to the Qwen ASR demo (https://qwen-qwen3-asr-demo.ms.show) and returns the transcript. Before installing, consider privacy and compliance: any audio you transcribe will be sent to that third-party demo service (no API key required). If the audio is sensitive, do not use this skill or run it only against a trusted/private ASR endpoint. Also note the skill expects the 'uv' runner and Python dependencies (aiohttp, gradio_client); you may prefer to run the included script locally in an isolated environment to inspect behavior and avoid installing system-wide packages.
功能分析
Type: OpenClaw Skill
Name: qwen-asr
Version: 1.0.0
The skill is a functional utility for transcribing audio using the Qwen ASR model via a public demo endpoint (qwen-qwen3-asr-demo.ms.show). The code in scripts/main.py correctly implements file uploading and Gradio API interaction as described in SKILL.md, with no evidence of hidden malicious intent, data exfiltration of sensitive system files, or unauthorized execution.
能力评估
Purpose & Capability
Name, description, SKILL.md and scripts/main.py all describe transcribing audio via the Qwen ASR demo (BASE_URL = https://qwen-qwen3-asr-demo.ms.show). The script's network calls and use of gradio_client are consistent with that purpose. Requiring the 'uv' runner matches the provided usage examples (uv run ...).
Instruction Scope
Runtime instructions tell the agent to run scripts/main.py with uv and/or pipe audio over stdin. The script uploads the audio to the Qwen ASR demo (/gradio_api/upload) and then calls the service via gradio_client to get transcripts. This is within the stated purpose, but it does mean user audio is transmitted to an external third-party endpoint — the SKILL.md mentions the demo host but does not explicitly warn about uploading potentially sensitive audio.
Install Mechanism
Install entries reference installing 'uv' (brew) and pip alternatives for uv/aiohttp/gradio_client. These are reasonable and expected for running the Python script. Minor inconsistency: registry metadata lists a brew requirement for 'uv', while SKILL.md metadata also includes pip-based install options; both are plausible but the mismatch is worth noticing.
Credentials
The skill declares no required environment variables, credentials, or config paths and the code does not read secrets or unrelated environment variables. No credentials are requested or needed for the demo service, which is proportional to the functionality.
Persistence & Privilege
always is false and the skill does not modify other skills or system-wide configuration. It does not request permanent presence or elevated privileges.
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 qwen-asr - 安装完成后,直接呼叫该 Skill 的名称或使用
/qwen-asr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 of qwen-asr.
- Transcribe audio files (wav/mp3/ogg, etc.) to text using Qwen ASR.
- No configuration or API key needed.
- Supports multiple languages.
- Simple CLI usage and integration instructions provided.
- Depends on uv, aiohttp, argparse, and gradio_client.
元数据
常见问题
🎤 Transcribe audio files using Qwen ASR. 千问STT 是什么?
Transcribe audio files using Qwen ASR (千问STT). Use when the user sends voice messages and wants them converted to text. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 1103 次。
如何安装 🎤 Transcribe audio files using Qwen ASR. 千问STT?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install qwen-asr」即可一键安装,无需额外配置。
🎤 Transcribe audio files using Qwen ASR. 千问STT 是免费的吗?
是的,🎤 Transcribe audio files using Qwen ASR. 千问STT 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
🎤 Transcribe audio files using Qwen ASR. 千问STT 支持哪些平台?
🎤 Transcribe audio files using Qwen ASR. 千问STT 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 🎤 Transcribe audio files using Qwen ASR. 千问STT?
由 Alone(@al-one)开发并维护,当前版本 v1.0.0。
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