No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by Fagan1024 · Claude Skill · ★ 7
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is smart-video-editor safe to install? View the security audit →
AI video editing skill that watches your footage before cutting. Vision model analyzes every frame, scores usability, drops bad takes, reorders by narrative, then renders with ffmpeg. For Claude Code, Cola, OpenClaw. 会看画面的 AI 自动剪辑 Skill——先用视觉模型看懂素材再决定剪哪几秒。
| Stars | 7 |
| Forks | 1 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 61.6585690683751/100 |
| Last Updated | 2026-07-26 |
| Created | 2026-07-26 |
| Platforms | claude-code, python |
| Est. Tokens | ~15k |
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smart-video-editor is AI video editing skill that watches your footage before cutting. Vision model analyzes every frame, scores usability, drops bad takes, reorders by narrative, then renders with ffmpeg. For Claude Code,. It is categorized as a Claude Skill with 7 GitHub stars.
smart-video-editor is primarily written in Python. It covers topics such as agent-skill, agent-skills, ai-agent.
You can find installation instructions and usage details in the smart-video-editor GitHub repository at github.com/Fagan1024/smart-video-editor. The project has 7 stars and 1 forks, indicating an active community.
smart-video-editor is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to smart-video-editor on Agent Skills Hub include skills, mcp-video, claude-prompt-engineering-guide. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: