audio-quality-checker

Analyze local audio files for encoding, sample rate, channels, and volume quality.

Updated Jan 26, 2026
One-click install
npx skills add https://github.com/ricoisme/vscode-agents --skill audio-quality-checker-ricoisme
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: audio-quality-checker
Source: https://github.com/ricoisme/vscode-agents/tree/main/skills/audio-quality-checker
Command: npx skills add https://github.com/ricoisme/vscode-agents --skill audio-quality-checker-ricoisme

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the technical inspection of audio files, identifying potential quality issues like clipping, low bitrates, and incorrect sample rates, ensuring professional audio standards.

Core Features & Use Cases

  • Technical Analysis: Extracts key audio metrics including bitrate, sample rate, channels, duration, and clipping information.
  • Quality Assessment: Provides an objective quality rating (High, Medium, Low) based on technical specifications.
  • Use Case: Automatically check a batch of uploaded podcast episodes for technical compliance before publication, flagging any files that don't meet the desired quality standards.

Quick Start

Analyze the audio file located at /path/to/your/audio.mp3.

Frequently Asked Questions about audio-quality-checker

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I check audio file quality for clipping and low bitrate issues?

To check audio file quality, you can analyze local files to identify clipping, low bitrates, and incorrect sample rates. This process extracts key technical metrics and provides an objective quality rating to ensure your audio meets professional standards.

What audio formats can I analyze for technical specifications and volume characteristics?

You can analyze .mp3, .wav, .flac, and .m4a audio files for technical specifications. The analysis extracts encoding details, sample rate, channels, and volume characteristics to generate a detailed technical report.

How do I automate batch validation of podcast episodes before publication?

Automating batch validation of podcast episodes involves running technical analysis on the uploaded files. This flags any audio that doesn't meet desired quality standards, such as incorrect sample rates or clipping, before publication.

Does audio quality analysis require ffprobe to extract sample rate and channels?

Yes, audio quality analysis uses ffprobe and Python scripts to extract sample rates, channels, and encoding metrics. This combination provides an objective quality rating based on the extracted technical specifications.

What is the best way to get an objective quality rating for a local audio file?

The best way to get an objective quality rating is to analyze the local audio file's technical metrics. The system evaluates bitrate, sample rate, and clipping information to assign a High, Medium, or Low quality rating.

Why does my audio file receive a Low quality rating during technical inspection?

An audio file receives a Low quality rating during technical inspection due to identified issues like clipping, low bitrates, or incorrect sample rates. The assessment is based purely on the extracted technical specifications.