Audio Recording Quality Analyzer
v0.1.0Analyze audio recording quality - echo detection, loudness, speech intelligibility, SNR, spectral analysis. Use when the user wants to check a recording's qu...
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byMisha Kolesnik@tenequm
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description align with the included script and instructions: the code and docs implement echo detection, loudness, PESQ/STOI, spectral measures, and SNR. Minor inconsistency: the SKILL.md lists system dependencies (ffmpeg, ffprobe) but the registry 'Required binaries' field is empty. That is likely an oversight but worth noting.
Instruction Scope
SKILL.md and the script focus on analyzing audio files in a provided recording directory. The runtime instructions direct the agent to run the bundled Python script against a local path; the script reads files in that path and invokes ffprobe/ffmpeg. There are no instructions to collect system-wide data, read unrelated config, or transmit results to external endpoints.
Install Mechanism
No install spec (instruction-only) and one included Python script — lowest install risk. However, SKILL.md requires several third‑party Python packages (numpy, librosa, pesq, pystoi, pyloudnorm, etc.) which the user must pip-install; these are normal but increase attack surface if installed from untrusted environments. No downloads from arbitrary URLs are included.
Credentials
The skill requests no environment variables or credentials and the script does not read secrets or unrelated environment config. The abilities requested (filesystem read of user-specified recording directory and use of ffmpeg/ffprobe) are proportionate to audio analysis.
Persistence & Privilege
The skill does not request persistent or elevated privileges; always:false and no installation steps that modify other skills or global agent config. It runs only when invoked.
Assessment
This skill is coherent for local audio analysis. Before running it: (1) review the included script if you have doubts; (2) ensure ffmpeg/ffprobe are installed (SKILL.md requires them even though registry metadata didn't list them); (3) install Python dependencies in a controlled environment (virtualenv/container) because packages like pesq and librosa have native dependencies; (4) only point the script at directories/files you trust—it will read any files in the provided path; and (5) if you need offline assurance, run the script in a sandboxed VM to avoid accidental access to sensitive filesystem locations. There are no signs of network exfiltration or secret access in the files provided.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.