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ai-media-quality-review

Inspect generated images, video and audio before delivery using deterministic metadata, contact-sheet, black-frame and silence checks plus visual and listening review. Use to accept, reject or repair Magic Hour media outputs; it does not generate media or predict audience performance.

plugins/magichourhq/skills/skills/ai-media-quality-review/SKILL.md

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Network or broad shell
Last checked
Nov 4, 2026

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1,532
Repository last updated
Nov 6, 2026
License
Apache-2.0

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

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# AI media quality review

Review the actual downloaded file against its brief and source media. Resolve `scripts/inspect_media.py` relative to this installed skill's `SKILL.md`, not the user's project directory. Run that absolute script path when FFmpeg and FFprobe are available:

```sh
python3 /absolute/path/to/ai-media-quality-review/scripts/inspect_media.py /absolute/path/to/output.mp4 --output-dir /absolute/path/to/review
```

The script creates `probe.json`, `review.json` and a contact sheet, image preview or waveform. For video it also saves `first-frame.jpg` and `last-frame.jpg` from the first and final decoded frames; the contact sheet alone need not include those moments. It reports technical signals; it does not decide whether the creative result is good. A failed rerun clears an earlier `review.json` in a writable output directory before input and dependency checks. Other artifacts may remain from earlier runs; use only the artifacts listed in a newly successful report. Treat a nonzero exit or missing report as unverified, never as a clean result.

## Apply the acceptance criteria

Read the original request and list the few required outcomes and protected details. Inspect the generated artifacts at full size and the intended delivery size.