by iart-ai · Claude Skill · ★ 96
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Featured in: Claude Video Editing & Remotion Skills
npx skills add iart-ai/explainer-video-skills
/plugin marketplace add iart-ai/explainer-video-skillsTaken from the project's README on GitHub.
None of the 43 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 43 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
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 | 96 |
| Forks | 23 |
| Language | HTML |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 70/100 |
| Last Updated | 2026-11-11 |
| Created | 2026-06-22 |
| Platforms | claude-code, codex |
| Est. Tokens | ~17k |
Explainer Video Skills Explainer video skills for AI coding agents: script, storyboard, and render narrated explainers, year-in-review recaps, and animated diagrams. Install Or add it as a Claude Code plugin marketplace: then . The skills run in Claude Code, Cursor, Codex, and 40+ agents. The full agent runs at iart.ai. What's included Isometric / 2.5
These tools work well together with explainer-video-skills for enhanced workflows:
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Claude Code skill for Dribbble-level product launch videos from code. One shape that never cuts, springs, a cu
Turn a scene prompt into a shot sheet, then have a coding agent draw the film in HTML. No video model.
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。
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 43 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: