detecting-deepfake-audio-in-vishing-attacks

brianmcgillion/re-benchmark

SkillLoads cleanly

Detect AI-generated deepfake audio used in voice phishing (vishing) by extracting spectral features (MFCC, spectral centroid, spectral contrast, zero-crossing…

Scores
out of 100 · grade B+

2026-08-21

Works

40% of the score

100/100

Loads cleanly: valid frontmatter, required fields present, no dangling references.

Maintained

25% of the score

94/100

no commits in the last 12 weeks
no license file

Adopted

20% of the score

0/100

No install or star signal yet.

Documented

15% of the score

100/100

1,214 words with worked examples.
Ships 3 bundled files.

Loads cleanly. Every structural check Claude Code needs to register this passed. Last commit today.

Install

npx skills add brianmcgillion/re-benchmark/detecting-deepfake-audio-in-vishing-attacks

What the check found

Every finding on this listing, and what each one means for whether it loads.
Finding	What it means
No license	The repository ships no license file, so the reuse terms are unclear.

What it says it does

Detect AI-generated deepfake audio used in voice phishing (vishing) by extracting spectral features (MFCC, spectral centroid, spectral contrast, zero-crossing rate) and classifying samples with machine learning models, supporting batch audio analysis, confidence scoring, and forensic reporting. Use for deepfake voice detection, vishing investigations, AI-generated speech analysis, voice cloning detection, or audio authenticity verification.

Every number above came out of reading the file and its repository. Nothing is a judgement call, nothing is a model’s opinion, and nothing can be paid for. The full method is published. Source last committed 2026-08-20.

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