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Extract key frames from MP4 videos at configurable intervals, run Tesseract OCR, and generate structured Markdown reports with video metadata and timestamped text transcripts.
Passed 16 of 20 test cases with the skill, and 8 of 20 without it.
and 8 more in the full report
9 fixed9 passed either way4 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
If no explicit sampling interval parameter is specified when executing frame extraction on record.mp4, what default interval in seconds is applied?
| Checked | Without skill | With skill |
|---|---|---|
| Identifies 30 seconds as the default extraction interval. | Missed | Passed |
The instructions your model reads when the skill loads.
Automatically extracts key frames from MP4 video files at configurable time intervals, performs OCR text recognition on each frame, and generates a structured Markdown report. The report includes video metadata (duration, resolution, codecs) and frame-by-frame OCR transcripts with timestamp references.
This skill is designed for Codex CLI and requires FFmpeg and Tesseract OCR installed on the local machine.
The skill uses ffprobe to extract video metadata: duration, resolution, frame rate, codec information, and file size.
Using FFmpeg, the skill captures frames at the configured interval (default: every 30 seconds). Each frame is saved as a timestamped JPEG image.
Each extracted frame is processed by Tesseract OCR. If the default PSM mode returns no meaningful text, it falls back to fully automatic page segmentation.
All extracted data is assembled into a structured Markdown document.
Agent prompt: Use the video-content-extractor skill to extract content from lecture.mp4
test cases passed, vs 8 / 20 without
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