rea-capcut: ReaCut — REA × CapCut: an independent, open-source video editor rebuilt from REA-assisted, authorized local

by Xiangyu-CAS · Codex Skill · ★ 67

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

Security audit verdict: SAFE · quality 62/100

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.

agent-skillscapcutcapcut-for-freeclaude-codecodexghidrareareverse-engineering

Quick Facts

Stars67
Forks15
LanguageTypeScript
CategoryCodex Skill
LicenseMIT
Quality Score62/100
Open Issues1
Last Updated2026-10-22
Created2026-10-13
Platformsclaude-code, codex, node
Est. Tokens~15k

About rea-capcut

ReaCut · 映刻 借助 REA 研究剪映 / CapCut,独立重实现的开源视频编辑器。macOS 优先;仅开展授权范围内的研究,不复制剪映专有代码或素材。 完整视频编辑器的实现工作量很大,项目仍处于早期阶段。欢迎贡献者一起完善功能、交互、跨平台支持、测试和文档。 参与贡献 → 简体中文 · English 快速开始 · 使用指南 · 本周功能计划 · 更新记录 · 参与贡献 ReaCut 将素材管理、多轨剪辑、字幕和视频导出放在一个熟悉的桌面工作区中。核心编辑流程在本地运行,无需账号或云服务。 项目使用 REA 辅助研究剪映的界面行为和本地项目格式,再以 Electron、React、TypeScript 和 FFmpeg 独立实现编辑器。REA 是开发研究工具,运行 ReaCut 不需要安装 REA、Ghidra 或剪映。 当前源码:v0.5.1,早期开发中。...

Compatible Skills

These tools work well together with rea-capcut for enhanced workflows:

  • OpenCardboard — semantic(0.25)+complementary+shared_fw(react)+same_lang+similar_pop+shared_platform (67%)
  • carocut — semantic(0.21)+complementary+shared_fw(react)+same_lang+similar_pop+shared_platform (66%)

rea-capcut alternative? Top 6 similar tools

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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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