jianying-headless: Private source preview: native Jianying drafts, isolated editing/export, and standalone Agent Skill

by mcncarl · Agent Tool · ★ 3.1k

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

How to install jianying-headless

git clone https://github.com/mcncarl/jianying-headless.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 58/100

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.

Quick Facts

Stars3,140
Forks1,975
LanguagePython
CategoryAgent Tool
Quality Score58/100
Open Issues13
Last Updated2026-10-21
Created2026-09-15
Platformspython
Est. Tokens~14k

About jianying-headless

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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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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