ARIS-Movie-Director: Agentic, long-horizon visual generation: a fuzzy story → a cross-model-audited image-based movie

by wanshuiyin · Agent Tool · ★ 74

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

How to install ARIS-Movie-Director

git clone https://github.com/wanshuiyin/ARIS-Movie-Director.git && cd ARIS-Movie-Director

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.

agent-skillsai-agentsai-filmmakinganthropicarisclaudecomic-generationcross-model-verificationgenerative-aigpt-image

Quick Facts

Stars74
Forks6
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score60/100
Last Updated2026-10-30
Created2026-06-09
Platformsclaude-code, python
Est. Tokens~20k

About ARIS-Movie-Director

ARIS-Movie-Director 🌐 中文 README · English Hand a fuzzy story to your agent, wake up to a cross-model-audited movie 🎬 — no forgotten facts, no frame signing off on itself. 🎞️ Image-based today, video next. 🤖 Agentic by design — planning · gating · cross-model review on the agent; rendering on the diffusion model.

Compatible Skills

These tools work well together with ARIS-Movie-Director for enhanced workflows:

  • claude-image — semantic(0.40)+complementary+same_lang+similar_pop+shared_platform (59%)
  • bria-skill — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (58%)
  • image-gen-mcp — semantic(0.36)+complementary+same_lang+similar_pop+shared_platform (57%)

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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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