Flagged: curl | sh installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by alecs5am · MCP Server · ★ 132
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ralphy safe to install? View the security audit →
Your AI video pipeline as code. Open-source, agent-native CLI for AI video. Fork-able, observable, reproducible. Drive it from Claude Code / Cursor / Codex. Get an mp4 in 8 minutes. What it is Two API keys ( + ), one CLI, a video pipeline you can ship to prod. Ralphy wires up image / video / vision / LLM (OpenRouter), voice + music (ElevenLabs), HTML+GSAP composition (HyperFrames), and a local async-job queue (bun + SQLite). Your agent drives it. Demo See what Ralphy makes → — real rendered outputs from real projects. Cost: $8–12 per 30s video. Speed: 8 min cold-start, 25 min for a 10-batch. Engine: HyperFrames
| Stars | 132 |
| Forks | 13 |
| Language | TypeScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 69.68278016322/100 |
| Last Updated | 2026-09-09 |
| Created | 2026-05-05 |
| Platforms | cli, mcp, node |
| Est. Tokens | ~15k |
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ralphy is Open-source desktop app for content creation, with an agent runtime and standalone CLI.. It is categorized as a MCP Server with 132 GitHub stars.
ralphy is primarily written in TypeScript. It covers topics such as agent, ai-agent, ai-video.
You can find installation instructions and usage details in the ralphy GitHub repository at github.com/alecs5am/ralphy. The project has 132 stars and 13 forks, indicating an active community.
ralphy is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to ralphy on Agent Skills Hub include cutcli-cookbook, OpenReels, yutu. 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: