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 T8mars · Codex Skill · ★ 247
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is minimax-h3-prompt-skill-T8 safe to install? View the security audit →
T8 Creative DNA Prompt Library 面向 MiniMax H3 与 Seedance 2.0 的高质量短视频 Creative DNA 案例库、可安装 Skills 与带完整视频的 Electron 桌面查看器。 A curated Creative DNA library, installable Skills, and a video-first Electron desktop viewer for MiniMax H3 and Seedance 2.0. 相关 GitHub 仓库 T8 Creative DNA Prompt Library ComfyUI MiniMax H3 Prompt Enhancer T8 这里收录可复用的创意机制，而不是技术教程、性能 Benchmark、模型对比、工作流帖子或僵硬的关键词堆叠。 五种内容，互相对应 Windows 与 universal macOS 安装包包
| Stars | 247 |
| Forks | 22 |
| Language | JavaScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 55.0341650787553/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-22 |
| Created | 2026-08-09 |
| Platforms | codex, node |
| Est. Tokens | ~25k |
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minimax-h3-prompt-skill-T8 is Creative DNA video prompt cases and installable Skills for MiniMax H3 and Seedance 2.0, with an Electron video viewer.. It is categorized as a Codex Skill with 247 GitHub stars.
minimax-h3-prompt-skill-T8 is primarily written in JavaScript. It covers topics such as ai-video, codex-skills, creative-dna.
You can find installation instructions and usage details in the minimax-h3-prompt-skill-T8 GitHub repository at github.com/T8mars/minimax-h3-prompt-skill-T8. The project has 247 stars and 22 forks, indicating an active community.
minimax-h3-prompt-skill-T8 is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to minimax-h3-prompt-skill-T8 on Agent Skills Hub include higgsfield-ai-prompt-skill, ai-video-generator-claude, Sora-FullStack. 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: