Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by 9j · Claude Skill · ★ 519
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-code-mux safe to install? View the security audit →
Claude Code Mux OpenRouter met Claude Code Router. They had a baby. Now your coding assistant can use GLM 4.6 for one task, Kimi K2 Thinking for another, and Minimax M2 for a third. All in the same session. When your primary provider goes down, it falls back to your backup automatically. ⚡️ Multi-model intelligence with provider resilience A lightweight, Rust-powered proxy that provides intelligent model routing, provider failover, streaming support, and full Anthropic API compatibility for Claude Code. Table of Contents Key Features Installation Quick Start [Screenshots](#
| Stars | 519 |
| Forks | 66 |
| Language | Rust |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 74.9489970402611/100 |
| Open Issues | 13 |
| Last Updated | 2025-11-19 |
| Created | 2025-11-16 |
| Platforms | claude-code, rust |
| Est. Tokens | ~86k |
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claude-code-mux is High-performance AI routing proxy built in Rust with automatic failover, priority-based routing, and support for 15+ providers (Anthropic, OpenAI, Cerebras, Minimax, Kimi, etc.). It is categorized as a Claude Skill with 519 GitHub stars.
claude-code-mux is primarily written in Rust. It covers topics such as ai, anthropic, claude-code.
You can find installation instructions and usage details in the claude-code-mux GitHub repository at github.com/9j/claude-code-mux. The project has 519 stars and 66 forks, indicating an active community.
claude-code-mux is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to claude-code-mux on Agent Skills Hub include pilot-shell, vllm-mlx, tools. 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: