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 neopen · MCP Server · ★ 173
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is story-shot-agent safe to install? View the security audit →
PenShot：Script → Storyboard → AI Video Prompt A multi-agent collaborative screenplay storyboarding system that splits scripts in various formats into script units optimized for AI text-to-video generation durations. It outputs high-quality storyboard fragment descriptions while ensuring narrative continuity. Built on LangChain and LangGraph, the system leverages LLMs to parse any script format into "Text-to-Video" prompt fragments compatible with mainstream AI video models. It supports task pool priority queuing, multi-level memory management, and Chroma vector retrieval. One-Click Conversion: Any screenplay format → Shot-level descriptions → Sora/Veo/Runway/Kling-ready prompts Continuity Guaranteed: Multi-level memory + vector retrieval ensures character/scene/plot consistency across shots Get Started in 5 Minutes: + 3 lines of code 中文 RAG Knowledge · MCP Service [](ht
| Stars | 173 |
| Forks | 33 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 69.7853820908939/100 |
| Last Updated | 2026-09-05 |
| Created | 2025-10-23 |
| Platforms | mcp, python |
| Est. Tokens | ~16k |
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story-shot-agent is 剧本分镜智能体（PenShot）：电影/动漫/短剧/小说/剧本→分镜→提示词 → 视频。| 基于LLM 通过 LangGraph+LlamaIndex，实现任意格式剧本的自动解析，生成 Sora/Veo/Runway 等模型可用的连贯text-to-video提示词。保持角色/剧情跨片段一致，支持 MCP/REST API/Function Calls/A2A 多种集成。（LLM-powered . It is categorized as a MCP Server with 173 GitHub stars.
story-shot-agent is primarily written in Python. It covers topics such as agent-to-agent, ai-filmmaking, ai-video-generation.
You can find installation instructions and usage details in the story-shot-agent GitHub repository at github.com/neopen/story-shot-agent. The project has 173 stars and 33 forks, indicating an active community.
story-shot-agent is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to story-shot-agent on Agent Skills Hub include generative-media-skills, llama-cpp-agent, ai-agent-tools. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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.
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