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 op7418 · Codex Skill · ★ 187
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is guizang-product-video-skill safe to install? View the security audit →
归藏 product video skill 软件更新了，顺手把宣传片也做了。 把代码库交给 AI，告诉它这次更新了什么，就可以开始做一支软件更新宣传片：整理卖点、写文案、接入原组件、做动画、写配乐、配音效，最后导出视频和可继续修改的工程。 我把自己做 CodePilot 宣传片时反复打磨的流程，整理成了这个 skill。重点是三件事：看起来像你的产品，听得懂你在讲什么，看完不会觉得拖沓。 30 秒开始 在终端安装： 然后打开你的产品代码库，对支持 skill 的 AI 编程工具说： 用 guizang-product-video-skill，把这个项目最近三周的主要更新做成一支宣传片。横版，45–60 秒，中文。先看看代码库自己的组件和设计风格，给我看几张关键画面，再继续做动画和声音。 也可以直接把仓库地址发给它： 帮我安装这个 skill：https://github.com/op7418/guizang-product-video-skill ，然后用它给当前项目做一支版本更新宣传片。 首次使用会检查 Node.js、Python、FFmpeg 和渲染依赖，缺什么再按官方安装方式补什么。安装系统软件时，仍遵循你的工具和系统权限设置。 它能帮你做什么？ | 暂时
| Stars | 187 |
| Forks | 15 |
| Language | Python |
| Category | Codex Skill |
| License | AGPL-3.0 |
| Quality Score | 62.8666007071962/100 |
| Last Updated | 2026-09-18 |
| Created | 2026-09-18 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~15k |
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guizang-product-video-skill is 归藏 product video skill：复用真实产品组件和设计语言，用代码制作软件更新宣传片。包含分镜文案、原创配乐、动作音效与视频渲染，支持 Claude Code 和 Codex。. It is categorized as a Codex Skill with 187 GitHub stars.
guizang-product-video-skill is primarily written in Python. It covers topics such as agent-skills, claude-code, codepilot.
You can find installation instructions and usage details in the guizang-product-video-skill GitHub repository at github.com/op7418/guizang-product-video-skill. The project has 187 stars and 15 forks, indicating an active community.
guizang-product-video-skill is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to guizang-product-video-skill on Agent Skills Hub include tutor-skills, SkillForge, comfyui-mcp. 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: