Why should I prefer an SDR version over a fake HDR version?

Fake HDR often introduces conversion artifacts, looks washed out on many displays, and may have lower encoding quality than the original SDR master.

Does this skill require external tools?

Yes, it is designed to interpret data from tools like MediaInfo, specifically focusing on the Video section metadata.

Which HDR formats can it analyze?

The skill supports analyzing metadata for HDR10, HDR10+, and various Dolby Vision profiles including Profile 5, 7, and 8.

What does this skill consider 'Fake HDR'?

It identifies content that uses an HDR container but maintains SDR-range brightness (under 100 nits) or was artificially expanded from an SDR source without gaining actual highlight detail.

HDR Content Audit

Name: HDR Content Audit
Author: robbyt

byrobbyt

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Analytics & Monitoring

Audits HDR video metadata to verify authentic high dynamic range content and detect synthetic or fake HDR conversions.

About

HDR Content Audit is a specialized Claude Code skill designed to help users determine the legitimacy of HDR video files by analyzing technical metadata, transfer functions, and mastering display luminance. It identifies common red flags such as inverse tonemapped SDR, incorrect bit depths, and suspicious Dolby Vision profiles, ensuring that users can distinguish between genuine HDR releases and poor-quality synthetic upconversions. By evaluating fields like MaxCLL, MaxFALL, and color primaries, this skill provides a rigorous workflow for media quality assurance.

Key Features

Provides recommendations on choosing SDR vs. HDR versions based on technical data
Identifies suspicious or unauthorized Dolby Vision profiles
37 GitHub stars
Analyzes MediaInfo fields for PQ, HLG, and BT.2020 primaries
Detects 'Fake HDR' by checking MaxCLL and MaxFALL brightness levels
Verifies 10-bit and 12-bit color depth requirements

Use Cases

Verifying if a 4K movie release has legitimate HDR metadata or is an upscaled SDR file
Detecting synthetic HDR in anime or catalog title remasters that lack official HDR releases
Auditing technical video specifications for media archival and library management

About

Key Features

Provides recommendations on choosing SDR vs. HDR versions based on technical data
Identifies suspicious or unauthorized Dolby Vision profiles
37 GitHub stars
Analyzes MediaInfo fields for PQ, HLG, and BT.2020 primaries
Detects 'Fake HDR' by checking MaxCLL and MaxFALL brightness levels
Verifies 10-bit and 12-bit color depth requirements

Use Cases

Verifying if a 4K movie release has legitimate HDR metadata or is an upscaled SDR file
Detecting synthetic HDR in anime or catalog title remasters that lack official HDR releases
Auditing technical video specifications for media archival and library management