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 OneMoh · Codex Skill · ★ 77
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is html-explainer safe to install? View the security audit →
html-explainer 一个 Agent Skill：给任意主题，产出一条带配音、硬字幕、封面的讲解视频。 HTML 写画面 → 确定性逐帧渲染 → 真 MP4。全本地跑，核心链路零 API key、零按次计费。 简体中文 · English 三条用本技能生成的成片——画面、配音、字幕、封面全部由流水线产出，无手工后期。 封面等素材托管在演示仓库，本仓库零体积。 https://github.com/user-attachments/assets/912e6c2d-831f-43dd-a39f-57b749bb417d 欢迎关注测试账号，实时观看视频数据 <img
| Stars | 77 |
| Forks | 9 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 60.9445747156921/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-27 |
| Created | 2026-09-21 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~15k |
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html-explainer is 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。. It is categorized as a Codex Skill with 77 GitHub stars.
html-explainer is primarily written in Python. It covers topics such as agent-skill, agent-skills, claude-code.
You can find installation instructions and usage details in the html-explainer GitHub repository at github.com/OneMoh/html-explainer. The project has 77 stars and 9 forks, indicating an active community.
html-explainer is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to html-explainer on Agent Skills Hub include vox-ai-motion-graphics-generator, awesome-ai-agent-skills, skills. 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.
Sources & who's responsible: