ARIS-Movie-Director
Enables security and compliance teams to generate audit-ready visual documentation and scenarios from narrative specifications without manual asset creation,…
Agentic, long-horizon visual generation: a fuzzy story → a cross-model-audited image-based movie. Brings ARIS's research-wiki + multi-agent debate to multimodal generation (intelligence lives in the agent; the diffusion model just renders). Image-based today, video next.
- Ask Claude to transform a compliance narrative into a visual storyboard for security audit documentation.
- Generate image-based security training scenarios from written incident response procedures automatically.
- Automate creation of visual compliance demonstration materials from policy descriptions for auditor reviews.
Enables security and compliance teams to generate audit-ready visual documentation and scenarios from narrative specifications without manual asset creation, reducing timeline and cost for compliance demonstrations and incident simulations.
Compliance officers and security architects needing rapid visual evidence generation for regulatory audits, policy documentation, or risk scenario walkthroughs.
https://github.com/wanshuiyin/ARIS-Movie-Director
By wanshuiyin
How to Get It
claude plugins install wanshuiyin/ARIS-Movie-Director
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Transform a compliance narrative into a visual storyboard for security audit documentation
Trust Signals Auto-scanned
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 42 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Evaluation
Scored from trust signals (evidence-eval-v1): 42 GitHub stars; contributors unknown; last commit 0d ago; license MIT.