Is this skill compatible with GitHub Actions?

Absolutely. It is designed to be integrated into CI/CD workflows, providing clear exit codes and JSON reports that can be used to pass or fail builds based on signal metrics.

What is the primary purpose of the Harness Runner skill?

It is used to automate the WaveCap-SDR test harness to validate signal processing, run parameter sweeps, and ensure audio quality remains consistent across configurations.

How does the skill help with signal optimization?

It can perform automated gain sweeps, testing multiple dB levels sequentially to identify the setting that produces the best audio RMS without clipping.

Can I use this skill without physical SDR hardware?

Yes, the skill supports a 'fake' driver mode which uses deterministic test signals, making it ideal for offline development and CI/CD environments.

What audio formats does the harness support?

The harness captures audio and can save files as WAV for manual inspection while providing digital metrics for automated validation.

SDR Test Harness Runner

Name: SDR Test Harness Runner
Author: TobiasWooldridge

byTobiasWooldridge

보안 및 테스팅

Automates regression testing and parameter sweeps for Software Defined Radio (SDR) signal processing using WaveCap-SDR.

소개

The Harness Runner skill provides a specialized interface for the WaveCap-SDR test harness, allowing developers to automate the validation of signal processing chains. It facilitates complex parameter sweeps—including gain, bandwidth, and frequency offsets—across various demodulation modes like FM, AM, and SSB. By measuring critical audio metrics such as RMS and peak levels, this skill ensures consistent performance during code changes and hardware migrations, making it an essential tool for SDR benchmarking and CI/CD integration.

주요 기능

CLI-based integration for automated CI/CD regression testing
Real-time audio quality validation using RMS and peak level metrics
Automated parameter sweeps for RF gain, bandwidth, and frequency
Support for RTL-SDR, SDRplay, and deterministic 'fake' drivers
Detailed JSON and HTML report generation for test documentation
0 GitHub stars

사용 사례

Validating audio quality and demodulation performance after code changes
Running automated smoke tests in CI/CD pipelines using fake driver emulation
Benchmarking different SDR hardware configurations to find optimal gain settings

소개

주요 기능

CLI-based integration for automated CI/CD regression testing
Real-time audio quality validation using RMS and peak level metrics
Automated parameter sweeps for RF gain, bandwidth, and frequency
Support for RTL-SDR, SDRplay, and deterministic 'fake' drivers
Detailed JSON and HTML report generation for test documentation
0 GitHub stars

사용 사례

Validating audio quality and demodulation performance after code changes
Running automated smoke tests in CI/CD pipelines using fake driver emulation
Benchmarking different SDR hardware configurations to find optimal gain settings