lanshu-create-ai-presenter-video: Provider-neutral Codex Skill for producing verified AI presenter videos from a script and an authorized

by cclank · Codex Skill · ★ 2.9k

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

Security audit verdict: SAFE · quality 67/100

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-videocodexcodex-skilldigital-humanvideo-generation

Quick Facts

Stars2,927
Forks438
LanguageHTML
CategoryCodex Skill
LicenseMIT
Quality Score67/100
Open Issues3
Last Updated2026-10-11
Created2026-08-20
Platformscodex
Est. Tokens~16k

About lanshu-create-ai-presenter-video

lanshu-create-ai-presenter-video 一个面向 Codex 的通用数字人视频制作 Skill。输入主题或文案与授权人物图后,它会组织文案、配音、人物生成、口型校准、字幕与关键词动效、剪辑、渲染和质量验收。 它按能力选择当前环境可用的工具,项目源码不绑定服务商、模型名称或私有接口。 最少需要提供什么 一个主题或一份完整文案。 一张经过授权、包含清晰成年人物的参考图。 可选输入包括声音样本、屏幕录制、图片、B-roll、品牌素材、目标平台、时长、横竖屏、风格、水印和结尾引导。 安装 安装后的 Skill 路径: 文件结构 text lanshu-create-ai-presenter-video/ ├── SKILL.md ├── README.md ├── agents/ │ └── openai.yaml ├── assets/ │

Compatible Skills

These tools work well together with lanshu-create-ai-presenter-video for enhanced workflows:

  • HappyHorse-1.0-API — semantic(0.42)+complementary+same_lang+similar_pop+shared_platform (65%)
  • MiniMax-H3-API — semantic(0.36)+complementary+same_lang+similar_pop+shared_platform (63%)
  • Wan-3.0-API — semantic(0.34)+complementary+same_lang+similar_pop+shared_platform (62%)

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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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