by mcncarl · Agent Tool · ★ 3.1k
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git clone https://github.com/mcncarl/jianying-headless.git
Taken from the project's README on GitHub. Check the security audit before running it.
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.
| Stars | 3,140 |
| Forks | 1,975 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 58/100 |
| Open Issues | 13 |
| Last Updated | 2026-10-21 |
| Created | 2026-09-15 |
| Platforms | python |
| Est. Tokens | ~14k |
Jianying Headless 面向剪映专业版 macOS 的本地自动化工具。通过结构化剪辑计划生成可编辑草稿, 在独立副本中修改多轨工程,并调用本机剪映引擎导出 MP4。 主要适配版本:11.5.0 · 兼容版本:11.4.2 首次使用请从 从零生成第一个剪映草稿 开始。 教程包含安装前提、环境检查、拖入自己的视频、首页登记、保存重开和常见报错处理。 11.5.0 仍需匹配具体安装身份与工具链,尚不保证任意电脑安装即用。 项目适用于 AI 视频工作流的工程交接、批量草稿生成和 Agent 辅助剪辑。 提供 Python 命令行入口及配套 Agent Skill。它不是剪映官方 SDK,运行时需要安装匹配版本的剪映。 核心功能 核心流程为:素材与剪辑计划 → 可编辑剪映草稿 → 原生引擎导出。 剪映中后续手工修改的内容不会自动同步回原计划或旧导出快照。 Hypit 协作案例 一个约...
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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: