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 heygen-com · MCP Server · ★ 56.1k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is hyperframes safe to install? View the security audit →
Featured in: Video Skills for Claude Code & Opus 5.5
Write HTML. Render video. Built for agents. Hyperframes is an open-source video rendering framework that lets you create, preview, and render HTML-based video compositions — with first-class support for AI agents. Quick Start Option 1: With an AI coding agent (recommended) Install the HyperFrames skills, then describe the video you want: This teaches your agent (Claude Code, Cu
| Stars | 56,135 |
| Forks | 5,053 |
| Language | TypeScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 64.6128447578063/100 |
| Open Issues | 155 |
| Last Updated | 2026-10-03 |
| Created | 2026-03-10 |
| Platforms | mcp, node |
| Est. Tokens | ~15k |
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hyperframes is Write HTML. Render video. Built for agents.. It is categorized as a MCP Server with 56.1k GitHub stars.
hyperframes is primarily written in TypeScript. It covers topics such as ai, animation, ffmpeg.
You can find installation instructions and usage details in the hyperframes GitHub repository at github.com/heygen-com/hyperframes. The project has 56.1k stars and 5053 forks, indicating an active community.
hyperframes is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to hyperframes on Agent Skills Hub include n8n, langchain, awesome-mcp-servers. 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: