video-understanding
video-understanding is a Computer vision skill for AI agents, published by ops120 in the video-recap-skills-plus repository on GitHub. Skillspace rates video-understanding C (72/100) and it passed the safety scan; the rating is based on static analysis only.
Analyze a video into a structured understanding index: scene detection, ASR transcript, per-scene visual (VLM) analysis, silence windows, a fused timeline, and a narration-writing brief. Use to understand / index / summarize what happens in a video, or as the first stage of the video-recap bundle before writing narration. Input: a video file. Output: scenes.json, asr_result.json, vlm_analysis.json, silence_periods.json, timeline_fusion.json, agent_narration_brief.md. 触发词: 视频理解, 视频分析, 视频索引, video understanding, analyze video, 看懂视频.
- Grade
- C
- Quality
- 72 / 100
- Safety
- Passed
- GitHub stars
- 26
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 1 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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