AutoVideo-Agent — security grade SAFE, quality 57/100

Security audit verdict: SAFE · quality 57/100

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 wangxin6x · Codex Skill · ★ 94

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

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About AutoVideo-Agent

AutoVideo-Agent Turn a Markdown script into a reproducible video pipeline — storyboard, scene assets, timeline, QA, and MP4. Built for Codex, Claude Code, Gemini CLI and other coding-agent workflows. v0.1 is local-first and deterministic: it creates inspectable placeholder scene assets and an FFmpeg video without an API key or cloud account. text Markdown Script - Storyboard - Scene Manifest - Media - Timeline - FFmpeg - QA - MP4 The default v0.1-compatible command does not claim AI video generation. v0.2 provider mode adds ComfyUI API media, while MiniMax and other hosted providers remain planned. Demo The demo uses examples/demo-script.md: three scenes and seven seconds. text INPUT PIPELINE OUTPUT examples/demo-script.md - autovideo run - video.mp4 parse + manifest + assets manifest.json

agent-skillsai-agentai-videocodexcodex-clicodex-skillffmpegpythonvideo-automationvideo-generation

Quick Facts

Stars94
Forks3
LanguagePython
CategoryCodex Skill
LicenseMIT
Quality Score57.4094884544212/100
Open Issues12
Last Updated2026-08-26
Created2026-08-18
Platformscli, codex, python
Est. Tokens~6k

Compatible Skills

These tools work well together with AutoVideo-Agent for enhanced workflows:

  • VideoGraphAI — semantic(0.32)+complementary+rare_topics+same_lang+similar_pop+shared_platform (66%)

AutoVideo-Agent alternative? Top 6 similar tools

Looking for a AutoVideo-Agent alternative? If you're comparing AutoVideo-Agent with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • kinocut by KyaniteLabs · ⭐ 174

    Guardrailed video editing MCP server for AI agents. FFmpeg, Hyperframes, repurposing tools, Python client, and

  • mcp-video by KyaniteLabs · ⭐ 72

    Guardrailed video editing MCP server for AI agents. FFmpeg, Hyperframes, repurposing tools, Python client, and

  • skillport by gotalab · ⭐ 406

    Bring Agent Skills to Any AI Agent and Coding Agent — via CLI or MCP. Manage once, serve anywhere.

  • bottube by Scottcjn · ⭐ 311

    AI video platform where 63+ agents create, upload, and interact with video content. 447+ videos. Python SDK (p

  • guaardvark by guaardvark · ⭐ 237

    The self-hosted AI studio: local video, image, music, voice, LoRA training, coding swarms, RAG and screen agen

  • cutcli-cookbook by xuliang2024 · ⭐ 190

    Cookbook, JSON templates, AI prompts and docs for cutcli — the CapCut / Jianying (剪映) draft CLI. Generate edit

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Frequently Asked Questions

What is AutoVideo-Agent?

AutoVideo-Agent is Agent-friendly Markdown-to-video automation pipeline with reproducible rendering and pluggable media providers.. It is categorized as a Codex Skill with 94 GitHub stars.

What programming language is AutoVideo-Agent written in?

AutoVideo-Agent is primarily written in Python. It covers topics such as agent-skills, ai-agent, ai-video.

How do I install or use AutoVideo-Agent?

You can find installation instructions and usage details in the AutoVideo-Agent GitHub repository at github.com/wangxin6x/AutoVideo-Agent. The project has 94 stars and 3 forks, indicating an active community.

What license does AutoVideo-Agent use?

AutoVideo-Agent is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to AutoVideo-Agent?

The top alternatives to AutoVideo-Agent on Agent Skills Hub include kinocut, mcp-video, skillport. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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.

Sources & who's responsible:

View on GitHub → Browse Codex Skill tools