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 →
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is minimax-h3-video-reverse-skill safe to install? View the security audit →
MiniMax H3 视频反推 Skill 给 AI 一段参考视频，先确认它看懂了什么，再拿到可以复制使用的视频提示词。 把视频中的人物、动作、镜头、叙事和声音交接，整理成 MiniMax H3 文生视频或逐镜图生视频提示词。你可以纠正 AI 的理解，也可以明确要求压缩时长、换主体或改成一镜到底。 由 知识猫 / gnipbao 维护，提供 Agent Skill、使用教程、原创示例和本地校验工具。支持 AUTO · T2VA · I2V · DUAL。 快速开始 · 使用示例 · 工作原理 · 声音怎么继承 · 文档与示例 · 开源赞助商 开源赞助商 感谢支持本项目的开源赞助商。 快速开始 准备一个支持 、能够实际读取完整视频的 Agent，以及你要反推的参考视频。Skill 本身不包含 H3 模型，不自动生成视频，也不要求 API Key；生成环节在你选择的视频平台完成。 1. 安装到 Codex 目标目录已存在时，先检查已安装版本，避免覆盖自己的修改。其他支持 的 Agent 可将整个仓库放到其技能目录，发现方式以宿主文档为准。普通聊天界面可以提供 SKILL.md 及所需参考文档，但仍须具备实际的视频理解能力。 2. 附上视频，发出请求 在能发现该技能的新会话中发送： 3. 确认或纠正，拿到提示词
| Stars | 195 |
| Forks | 30 |
| Language | Python |
| Category | AI Tool |
| License | MIT |
| Quality Score | 59.8701897282641/100 |
| Last Updated | 2026-09-30 |
| Created | 2026-09-20 |
| Platforms | python |
| Est. Tokens | ~13k |
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minimax-h3-video-reverse-skill is MiniMax H3 视频反推 Skill：真实镜头、首帧与动态提示词、AUTO/T2VA/I2V/DUAL，附中文教程与验证工具。. It is categorized as a AI Tool with 195 GitHub stars.
minimax-h3-video-reverse-skill is primarily written in Python.
You can find installation instructions and usage details in the minimax-h3-video-reverse-skill GitHub repository at github.com/gnipbao/minimax-h3-video-reverse-skill. The project has 195 stars and 30 forks, indicating an active community.
minimax-h3-video-reverse-skill is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to minimax-h3-video-reverse-skill on Agent Skills Hub include pivotnacci, MedgeClaw, SciToolAgent. 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: