image-story-video-wizard — security grade SAFE, quality 60/100

Security audit verdict: SAFE · quality 60/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by aaronyi97 · Codex Skill · ★ 344

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

🔒 Is image-story-video-wizard safe to install? View the security audit →

About image-story-video-wizard

Image Story Video Wizard 一个用于 Codex 和 WorkBuddy 的分步式 Skill,带用户从选题、对标、文案、配音、分镜、生图一直做到预览和成片。 它的核心不是把一整套流程一次性丢给用户,而是主动引导和推进:Skill 判断当前阶段、完成能自己做的工作,用户只在关键节点提供材料或做确认。 它怎么带你往下做 每一轮都会说清楚五件事: 完整阶段是: 关键确认点包括: 对标方向没确认,不做写作包。 文案没定稿,不生成完整配音。 画风、文字风格和样图没确认,不批量生图。 预览没通过,不渲染最终成片。 某一步失败时,只回到最早受影响的阶段,不会把整个项目推倒重来。 适合的项目 AI 讲书、历史故事、情感故事和有声故事。 播客音频加配图的图片联播视频。 需要人物一致性、固定画风、字幕和文字卡的静态图叙事视频。 如果你只需要一篇文案、一张图或普通剪辑,不需要调用这个 Skill。 一句话安装 把下面这句话完整发给 Codex: 请使用 skill-installer 从 https://github.com/aaronyi97/image-story-video-wizard 安装 Skill。Skill 位于仓库根目录,安装名使用 image-story-video-wizard。安装完成后告诉我下一轮可以直接启动。 Codex 安装 Skill 后会在下一轮对话加载它。然后直接发: 使用 $image-story-video-wizard 开始一个新项目。我想做一期【选题】的图片联播视频,请主动带我往下做。 终端安装 Codex: 如果 WorkBuddy 也从本地 Skill 目录加载,可以在它的 Skill 目录中安装同一仓库,或链接到 Codex 中的这份 Skill。 开始使用 直接对 Codex 或 WorkBuddy 说: 我想做一期【选题】的图片联播视频,请使用 image-story-video-wizard 带我从现在的阶段往下做。你主动推进,每次只让我提供当前必需的材料或做当前确认。 项目会用 记录当前阶段、已确认决定、产物路径和下一个需要用户回答的问题。换到另一个宿主后,可以从这个状态继续。 教程中的默认路线 长文案:先用 Codex 完成对标学习和写作包,再交给 WorkBuddy 中的 Kimi K3。当页面确实提供时,选择 Max 模式、最高思考强度和 1M 上

Quick Facts

Stars344
Forks54
LanguagePython
CategoryCodex Skill
LicenseMIT
Quality Score59.9078823145828/100
Open Issues1
Last Updated2026-09-15
Created2026-09-02
Platformscodex, python
Est. Tokens~3k

Compatible Skills

These tools work well together with image-story-video-wizard for enhanced workflows:

  • claude-skills — semantic(0.30)+complementary+same_lang+similar_pop+shared_platform (61%)
  • HappyHorse-1.0-API — semantic(0.26)+complementary+same_lang+similar_pop+shared_platform (59%)

image-story-video-wizard alternative? Top 6 similar tools

Looking for a image-story-video-wizard alternative? If you're comparing image-story-video-wizard with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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Frequently Asked Questions

What is image-story-video-wizard?

image-story-video-wizard is A confirmation-gated Codex and WorkBuddy skill for audio-first image-story video production.. It is categorized as a Codex Skill with 344 GitHub stars.

What programming language is image-story-video-wizard written in?

image-story-video-wizard is primarily written in Python.

How do I install or use image-story-video-wizard?

You can find installation instructions and usage details in the image-story-video-wizard GitHub repository at github.com/aaronyi97/image-story-video-wizard. The project has 344 stars and 54 forks, indicating an active community.

What license does image-story-video-wizard use?

image-story-video-wizard is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to image-story-video-wizard?

The top alternatives to image-story-video-wizard on Agent Skills Hub include skillkit, Skills-Manager, ai-maestro. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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:

View on GitHub → Browse Codex Skill tools