Measure audio metrics and verify DSP contracts in headless environments.
npx skills add https://github.com/Generous-Corp/pulp --skill audio-harness-generous-corp
Please help me install this Agent Skill. Skill: audio-harness Source: https://github.com/Generous-Corp/pulp/tree/main/.agents/skills/audio-harness Command: npx skills add https://github.com/Generous-Corp/pulp --skill audio-harness-generous-corp
This skill eliminates the guesswork in audio development by providing a deterministic, device-free environment to measure, debug, and regression-test DSP processors and audio pipelines.
Use the audio-harness skill to run the offline doctor on the rendered output file out.wav to measure its total harmonic distortion and frequency response.
High-intent search queries and answers about installing and using this skill.
You can test DSP components without a real-time audio device by using a deterministic, headless environment to measure frequency response, THD, and latency on rendered audio files. This approach enables automated validation without physical hardware.
Perform regression testing on audio pipelines by comparing outputs before and after refactoring to ensure bit-perfect integrity or spectral parity. This prevents silent signal regressions in complex DSP chains by verifying output consistency.
Yes, you can measure total harmonic distortion, frequency response, and group delay on rendered audio offline. An offline audio doctor analyzes rendered output files to extract these metrics deterministically without real-time playback.
Contract-based testing for audio processors defines and verifies performance contracts, such as latency bounds and signal integrity, using automated render scenarios. This ensures DSP components meet specified operational criteria during validation.
Gather latency evidence for DSP debugging by running automated render scenarios in a deterministic, device-free environment. This validates latency bounds and provides precise measurement data for high-precision signal analysis.
Headless DSP validation works for automated audio quality assurance by executing contract verification and spectral analysis in deterministic environments. This satisfies high-precision testing requirements without manual intervention or audio hardware.
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