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midasheng-audio-denoise
by
Junbo Zhang
· GitHub ↗
· v1.0.0
· MIT-0
163
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Active Installs
1
Versions
Install in OpenClaw
/install midasheng-audio-denoise
Description
Voice enhancement and noise reduction service. Accepts a noisy audio file and returns a clean, denoised version. Use when user needs to remove background noi...
README (SKILL.md)
midasheng-audio-denoise
Voice enhancement and noise reduction service powered by advanced backend algorithms.
1. Trigger
Use this skill when the user wants to:
- Remove background noise from an audio file
- Clean up a noisy recording
- Enhance voice clarity
- Preprocess audio for speech recognition
2. API Details
Endpoint: POST https://llmplus.ai.xiaomi.com/dasheng/audio/denoise (multipart/form-data)
Parameters:
file: The audio file to denoise
Response: Binary audio stream (WAV format)
3. Usage
Basic denoising
curl -X POST "https://llmplus.ai.xiaomi.com/dasheng/audio/denoise" \
-F "file=@noisy_recording.mp3" \
-o clean_recording.wav
Script usage
python3 scripts/denoise.py noisy_audio.mp3 -o clean_audio.wav
python3 scripts/denoise.py --queue # Check queue status
4. Queue Status（排队情况）
查询命令
python3 scripts/denoise.py --queue
# 或直接调 API：
curl -X POST "https://llmplus.ai.xiaomi.com/metrics?path=/dasheng/audio/denoise"
返回字段
active: 当前活跃请求数avg_latency_ms: 平均处理耗时（毫秒）- 预估等待时长 = active × avg_latency_ms
何时调用
- IM 即将超时但 denoise 服务还未返回结果时：查排队情况告知用户，请用户稍后来问。
- 用户稍后询问任务进度但服务仍未返回时：查最新排队情况返回给用户。
状态分级
- 🟢 active=0 或预估等待 \x3C5s → 服务空闲
- 🟡 预估等待 5-30s → 轻微排队
- 🔴 预估等待 >30s → 排队较长，建议稍后重试
5. Supported Audio Formats
Input: mp3, wav, flac, ogg, m4a. Output: WAV.
6. Troubleshooting
- Empty output: Input file may be too short
- API request failed: Verify network connectivity
- Poor results: Works best on speech with background noise
Usage Guidance
This skill uploads the user's audio to https://llmplus.ai.xiaomi.com (a Xiaomi-hosted API) for processing. If your audio contains sensitive or private information, do not use the skill unless you trust that endpoint and its privacy policy. Also note the script uses Python's 'requests' but the SKILL.md mentions curl — ensure your environment has Python and requests installed before running, or use the curl example. If you need local-only processing for privacy, prefer a local denoising tool or verify the service's data retention and handling policies. Finally, because the skill's source/homepage is absent, consider testing with non-sensitive samples first and verifying the endpoint ownership if you require higher assurance.
Capability Analysis
Type: OpenClaw Skill
Name: midasheng-audio-denoise
Version: 1.0.0
The skill provides audio denoising functionality via a Xiaomi-hosted API (llmplus.ai.xiaomi.com). The Python script (scripts/denoise.py) and documentation (SKILL.md) are well-structured, lack any malicious indicators such as data exfiltration or unauthorized execution, and strictly follow the stated purpose of processing audio files and checking service status.
Capability Assessment
Purpose & Capability
Name, description, SKILL.md, and the included script consistently implement an audio denoise client that uploads a file to https://llmplus.ai.xiaomi.com/dasheng/audio/denoise and returns a WAV. The requested resources (no env vars, no unusual binaries) are proportionate to the described task.
Instruction Scope
Instructions and the script only perform network calls to the Xiaomi endpoint and a metrics endpoint, and read the provided input audio file and write an output WAV. They do not access other system files or credentials. However, the skill requires uploading user audio to a third-party service (privacy risk) — this is expected for a cloud denoise service but should be considered by the user.
Install Mechanism
No install spec; this is instruction-only with a bundled Python script. Nothing is downloaded or executed automatically beyond what the user runs. Low installation risk.
Credentials
The skill declares no environment variables or credentials, which is proportionate. Minor inconsistency: SKILL.md top lists 'requirements: curl' and examples use curl, but the provided script uses Python's requests library — requests is not declared as a dependency and may not be present in runtime.
Persistence & Privilege
Skill does not request always:true or modify agent/system configs. It is user-invocable and uses normal agent invocation permissions.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install midasheng-audio-denoise - After installation, invoke the skill by name or use
/midasheng-audio-denoise - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
midasheng-audio-denoise 1.0.0
- Initial release of a voice enhancement and noise reduction service.
- Accepts noisy audio files (mp3, wav, flac, ogg, m4a) and returns a clean WAV file.
- Includes API and script usage instructions for easy integration.
- Provides queue status checks and guidance for managing wait times.
- Troubleshooting tips included for common issues.
Metadata
Frequently Asked Questions
What is midasheng-audio-denoise?
Voice enhancement and noise reduction service. Accepts a noisy audio file and returns a clean, denoised version. Use when user needs to remove background noi... It is an AI Agent Skill for Claude Code / OpenClaw, with 163 downloads so far.
How do I install midasheng-audio-denoise?
Run "/install midasheng-audio-denoise" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is midasheng-audio-denoise free?
Yes, midasheng-audio-denoise is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does midasheng-audio-denoise support?
midasheng-audio-denoise is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created midasheng-audio-denoise?
It is built and maintained by Junbo Zhang (@jimbozhang); the current version is v1.0.0.
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