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Get Started Free →minicoohei/video-frame-reader
動画ファイルからキーフレームを抽出し、重複除去・最適化した上で内容を分析するスキル。 「動画の中身を見て」「キーフレームを抽出」「この動画を分析して」等で発動。
Passed 13 of 17 test cases with the skill, and 8 of 17 without it.
and 7 more in the full report
9 fixed8 passed either way3 still failing2 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.
I need to ensure the Python image processing dependencies required for keyframe extraction are installed. Which exact package installer command is specified?
| Checked | Without skill | With skill |
|---|---|---|
| Specifies running `uv add Pillow numpy --quiet` to install dependencies | Missed | Passed |
The instructions your model reads when the skill loads.
Extract keyframes from video, present token cost, then analyze.
Clearly understand why the user wants the video analyzed:
This intent becomes important context for the analysis.
# uv で依存関係をインストール
uv add Pillow numpy --quiet
uv run python skills/video-frame-reader/scripts/extract_keyframes.py "<video_path>"
Output example (JSON):
{
"keyframe_count": 52,
"image_size": "266x576",
"total_tokens": 10400,
"cost_usd_opus": 0.156,
test cases passed, vs 8 / 17 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.