carocut: Multi-Agent 的视频制作助手,基于 OpenCode AI SDK 和 Remotion 构建

by bilibili · Agent Tool · ★ 123

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 60/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-agentai-toolsai-video-editormulti-agent-systemsvideo-editor

Quick Facts

Stars123
Forks12
LanguageTypeScript
CategoryAgent Tool
Quality Score60/100
Last Updated2026-04-20
Created2026-03-20
Platformsnode
Est. Tokens~84k

About carocut

CaroCut AI 驱动的视频制作工作流系统,基于 OpenCode AI SDK 和 Remotion 构建。 简介 CaroCut 是端到端的自动化视频生产平台。通过多 Agent 协作(orchestrator + planner/media/builder/reviewer),将原始素材(PDF、图片、文本)转化为专业视频。 核心特性: 多 Agent 协作:5 个专业 Agent,12 个 Skill,职责隔离 8 步标准工作流:素材分析 → 策划 → 脚本润色 → 视觉素材 → 音频素材 → 资产管道 → 组件实现 → 预览渲染 自动化环境初始化:Bootstrap 一次,多项目共享 Remotion 模板和浏览器(session 创建时自动兜底) Remotion 驱动:React 组件编程式生成视频,逐帧精确控制 断点续做: 状态持久化,支持中断恢复和增量修改 案例:...

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

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