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.
ai-media-quality-review/SKILL.md
---
name: ai-media-quality-review
description: 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.
license: MIT
metadata:
author: magichourhq
version: "1.0.1"
---
# AI media quality review
Review the actual downloaded file against its brief and source media. Run the bundled inspection script when FFmpeg and FFprobe are available:
```sh
python3 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 or waveform. It reports technical signals; it does not decide whether the creative result is good. A diagnostic failure stops the script and removes an earlier `review.json` in that output directory. 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.
- **Image:** composition, crop, identity, anatomy, hands, geometry, product/character details, required text and logos, unwanted text and visible artifacts.
- **Video:** first and last frames, intended action and camera, identity/object continuity, flicker, warping, abrupt cuts, actual dimensions, frame rate, duration and audio streams.… load the full skill through Skill Me