image-story-video-wizard: A confirmation-gated Codex and WorkBuddy skill for audio-first image-story video production

by aaronyi97 · Codex Skill · ★ 344

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

How to install image-story-video-wizard

git clone https://github.com/aaronyi97/image-story-video-wizard.git ~/.codex/skills/image-story-video-wizard

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 60/100

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.

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

Stars344
Forks54
LanguagePython
CategoryCodex Skill
LicenseMIT
Quality Score60/100
Open Issues1
Last Updated2026-09-15
Created2026-09-02
Platformscodex, python
Est. Tokens~3k

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...

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

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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:

View on GitHub → Browse Codex Skill tools