explainroo — security grade SAFE, quality 66/100

Security audit verdict: SAFE · quality 66/100

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 vincentsch · Codex Skill · ★ 270

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

🔒 Is explainroo safe to install? View the security audit →

About explainroo

Explainer videos made by your AI agent. Free and open source. The voice, the timing and the rendering run on your computer. Website  ·  Example videos  ·  Docs  ·  AGENTS.md https://github.com/user-attachments/assets/6dd5dc32-c975-4e0e-8cd4-2ef3ccc11e61 A coding agent made this video with explainroo. You can also watch it on explainroo.com. Make a video [!TIP] Give your coding agent this repo and tell it what the video should explain. It works with Claude Code, Codex, Pi and other coding agents. Right now it works best with Claude Code and Opus 5.5. Copy this into your agent and put your topic in place of the brackets: The agent sets up explainroo, makes t

ai-agentsanimationcanvasclaude-codecodexexplainer-videoffmpegjavascriptkokoroproduct-demo

Quick Facts

Stars270
Forks3
LanguageJavaScript
CategoryCodex Skill
LicenseMIT
Quality Score66.1344221848952/100
Last Updated2026-10-01
Created2026-09-25
Platformsclaude-code, codex, node
Est. Tokens~14k

Compatible Skills

These tools work well together with explainroo for enhanced workflows:

  • Repo-Explainer — semantic(0.27)+complementary+same_lang+similar_pop+shared_platform (59%)

explainroo alternative? Top 6 similar tools

Looking for a explainroo alternative? If you're comparing explainroo 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.

  • vox-ai-motion-graphics-generator by Anil-matcha · ⭐ 181

    🎬 Turn any topic into a finished Vox-style paper-collage explainer / motion graphics video — script, collage

  • html-explainer by OneMoh · ⭐ 77

    把一个主题做成有配音、字幕、封面的讲解分析类视频 —— 全本地、用 HTML 写画面,稳定音画同步。 面向 AI 编程智能体的确定性 HTML → MP4 渲染流水线。

  • vox-director by Alisa0808 · ⭐ 1.3k

    Turn one topic into a finished Vox-style paper-collage explainer/ad video — automated end to end on Atlas Clou

  • MotionClone by blixvip · ⭐ 347

    AI motion graphics from a reference video. Rebuild it as an editable HyperFrames project with Codex and ChatGP

  • claude-video-vision by jordanrendric · ⭐ 1.3k

    Give Claude the ability to watch and understand videos — Claude Code plugin with frame extraction and multimod

  • claude-codex-settings by fcakyon · ⭐ 1.2k

    Battle-tested Claude Code, OpenAI Codex, Cursor configs, plugins, hooks and agents with Kimi, MiniMax and GLM

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Frequently Asked Questions

What is explainroo?

explainroo is Explainer videos and product demos made by your AI agent. Free and open source: a local voice (Kokoro), word timing (Whisper) and a canvas renderer turn a script into a narrated MP4.. It is categorized as a Codex Skill with 270 GitHub stars.

What programming language is explainroo written in?

explainroo is primarily written in JavaScript. It covers topics such as ai-agents, animation, canvas.

How do I install or use explainroo?

You can find installation instructions and usage details in the explainroo GitHub repository at github.com/vincentsch/explainroo. The project has 270 stars and 3 forks, indicating an active community.

What license does explainroo use?

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

What are the best alternatives to explainroo?

The top alternatives to explainroo on Agent Skills Hub include vox-ai-motion-graphics-generator, html-explainer, vox-director. 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