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 DROOdotFOO · MCP Server · ★ 76
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is raxol safe to install? View the security audit →
Raxol Recursively, axol. Forever FOSS. Write one app. Render it to a terminal, a browser, an SSH session, or an agent. Your application is a single TEA module (, , ) running as an OTP GenServer. Raxol renders that module to four surfaces from one codebase: The interesting part is the runtime, not the terminal. Your app gets crash isolation per Component, hot code reload without restart, distributed clustering with CRDTs, and an agent surface where LLMs interact with structured Component trees instead of scraping pixels. Bubble Tea, Ratatui, and Textual are excellent renderers. A2UI and AG-UI define agent-UI wire formats. Raxol is the runtime that renders all four surfaces from one source module. Built with Raxol Xochi Xochi is a private cross-chain
| Stars | 76 |
| Forks | 5 |
| Language | Elixir |
| Category | MCP Server |
| License | MIT |
| Quality Score | 65.7342194010547/100 |
| Open Issues | 55 |
| Last Updated | 2026-09-11 |
| Created | 2025-03-16 |
| Platforms | browser, mcp |
| Est. Tokens | ~18k |
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raxol is Write one app, render it to a terminal, a browser, or as agent tools. The terminal for your Gundam.. It is categorized as a MCP Server with 76 GitHub stars.
raxol is primarily written in Elixir. It covers topics such as agent-ui, agentic-commerce, ai-agents.
You can find installation instructions and usage details in the raxol GitHub repository at github.com/DROOdotFOO/raxol. The project has 76 stars and 5 forks, indicating an active community.
raxol is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to raxol on Agent Skills Hub include limoni, pepe, vibe. 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: