deepfake-detection
CommunityAuthenticate multimedia with forensic precision.
Authordirnbauer
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill provides a comprehensive multimedia forensics framework to authenticate images and videos and detect deepfakes, enabling trustworthy media in journalism, security, and compliance contexts.
Core Features & Use Cases
- Multimodal forensic analysis: combines PRNU/PCE, IGH, DQ, and GAN fingerprint signals with metadata.
- Provenance verification: checks C2PA/CAI manifests when present to establish a verifiable edit history.
- Semantic forensics: evaluates shadow physics, reflections, and lip-sync integrity to surface inconsistencies.
- Use Case: A newsroom verifies a viral video before publication and attaches cryptographic provenance data to the asset.
Quick Start
Provide a media file (image or video) to run a full forensic analysis and receive an authenticity verdict, confidence score, and any provenance details.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: deepfake-detection Download link: https://github.com/dirnbauer/webconsulting-skills/archive/main.zip#deepfake-detection Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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