video-understand
video-understand is a Computer vision skill for AI agents, published by qianleigood in the crawclaw repository on GitHub. Skillspace rates video-understand C (70/100) and it passed the safety scan; the rating is based on static analysis only.
通过 Gemini 模型快速分析视频内容、镜头、人物动作、场景和字幕信息。Use when 用户发送视频文件、本地视频路径或视频链接，并询问“这个视频讲了什么”“帮我分析这个视频”“总结一下镜头内容”“提炼卖点/步骤/剧情”等需要快速视频理解的场景。优先用于一次性内容总结、镜头理解和简短分析；若用户需要异步长流程、分镜级报告、批量处理、截图留档或更重的工作流编排，优先考虑 video-analysis-workflow。
- Grade
- C
- Quality
- 70 / 100
- Safety
- Passed
- GitHub stars
- 30
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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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