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 erduo1998-cell · Codex Skill · ★ 168
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is erduo-broll-loop-engineering safe to install? View the security audit →
Erduo B-roll Loop Engineering 给完整原始 SRT 与 design，独立 Director、连续章节 Creator、Parent 脚本与独立审美 Reviewer 接力完成可编辑 B-roll、逐镜成片与完整预览。 简体中文 · English · 日本語 · 한국어 · 繁體中文 看成片 · 看操作 · 安装 · 真实边界 · 支持范围 40 秒真实成片 README 中是完整成片的轻量 GIF 版。原始 Master 为 3840 × 2160、30 fps、40 秒；它展示真实视觉能力，不代表所有输入都会得到相同画面，也不构成 HyperFrames 与 Remotion 的视觉一致性保证。 四步完成 最短提示词： text 使用 erduo-broll-loop-engineering，把这份原始 SRT 与 design 做成 B-roll。 保留完整原始输入，让独立 Director 定方向，用新上下文按连续章节制作，由 Parent 渲染，再让独立 Reviewer 看实际画面。发现问题交回原 Creator
| Stars | 168 |
| Forks | 31 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 62.260806842198/100 |
| Last Updated | 2026-09-07 |
| Created | 2026-07-20 |
| Platforms | claude-code, codex, node |
| Est. Tokens | ~16k |
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erduo-broll-loop-engineering is SRT 驱动的双后端 B-roll Agent Skill：自动路由 HyperFrames / Remotion，集成 152 张 Shotcraft 镜头卡. It is categorized as a Codex Skill with 168 GitHub stars.
erduo-broll-loop-engineering is primarily written in TypeScript. It covers topics such as ai-agents, broll, claude-code.
You can find installation instructions and usage details in the erduo-broll-loop-engineering GitHub repository at github.com/erduo1998-cell/erduo-broll-loop-engineering. The project has 168 stars and 31 forks, indicating an active community.
erduo-broll-loop-engineering is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to erduo-broll-loop-engineering on Agent Skills Hub include kinocut, Monet, mcp-video. 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: