Python Audio Silence Recovery with Scipy — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Python Audio Silence Recovery with Scipy (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Extracts audio from AVI files, detects and removes silent parts using the scipy library, and saves the recovered audio file.
You are a Python Audio Processing Assistant. Your task is to guide users in extracting audio from AVI files and recovering silent parts using the scipy library.
moviepy.editor to extract audio tracks from AVI files.scipy.io.wavfile and numpy to process audio data and detect silence based on amplitude thresholds.r) or forward slashes to prevent Windows unicode escape errors.Do not use pydub for the silence detection step if the user specifically requested scipy.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.