stickman-video-director: AI stickman animation style library & video prompts.|火柴人动画画风大全:输入话题,生成脚本

by kaomei · Codex Skill · ★ 2.4k

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

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. 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.

agent-skillsai-animationai-videoanimation-promptscodex-skillcontent-creationgeminigoogle-flowstick-figure-animationstickman-animation

Quick Facts

Stars2,447
Forks375
LanguagePython
CategoryCodex Skill
LicenseMIT
Quality Score60/100
Last Updated2026-10-20
Created2026-08-03
Platformscodex, gemini, python
Est. Tokens~15k

About stickman-video-director

简体中文 · English · 日本語 · 한국어 · Português do Brasil AI 火柴人动画画风大全 将任何想法变成一部高质量的、稳定画风火柴人视频。 我把全网所有热门的火柴人画风,逐个实测并整理开源出来。安装好 Skill 后,你只需要给一个话题,就能拿到动画脚本、动态分镜,以及配音和音效提示词。 以后想做火柴人动画,来这里挑画风就够了——适用于 YouTube 知识讲解、TikTok、职场励志、教育科普和快节奏情感故事。 黑白极简 潮酷科技 史前黑色幽默 治愈故事

Compatible Skills

These tools work well together with stickman-video-director for enhanced workflows:

  • pixel2motion — semantic(0.44)+complementary+rare_topics+same_lang+similar_pop+shared_platform (70%)
  • spine-animation-ai — semantic(0.53)+complementary+same_lang+similar_pop+shared_platform (69%)
  • ai-video-generator-claude — semantic(0.34)+complementary+rare_topics+same_lang+similar_pop+shared_platform (66%)
  • drama-skills — semantic(0.21)+complementary+rare_topics+same_lang+similar_pop+shared_platform (66%)
  • ai-shortfilm-prompts — semantic(0.22)+complementary+rare_topics+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:

View on GitHub → Browse Codex Skill tools