by neopen · MCP Server · ★ 226
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/neopen/story-shot-agent.git
Taken from the project's README on GitHub. Check the security audit before running it.
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.
| Stars | 226 |
| Forks | 42 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 70/100 |
| Open Issues | 6 |
| Last Updated | 2026-10-17 |
| Created | 2025-10-23 |
| Platforms | mcp, python |
| Est. Tokens | ~16k |
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.
These tools work well together with story-shot-agent for enhanced workflows:
Looking for a story-shot-agent alternative? If you're comparing story-shot-agent with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Research-backed agent skills and tools for premium image, video, audio, voice, and generative media production
Open Film Skills: 21 independent modules for story, directing, visual assets and AI-film production, with rese
Claude AI skill for cinematic Higgsfield AI prompts — 32 sub-skills covering Seedance 2.5 (omni-reference, vid
The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models (LLMs). Allow
A curated collection of AI tools, utilities, and resources for developers and creators
AI film director skills for agents: cinematic dramaturgy (Murch, blocking, montage) + exact prompt syntax for
Explore other popular mcp server tools:
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: