claude-code-mux: High-performance AI routing proxy built in Rust with automatic failover, priority-based routing, and support

by 9j · Claude Skill · ★ 517

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How to install claude-code-mux

cargo install claude-code-mux
git clone https://github.com/9j/claude-code-mux

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 75/100

Flagged: sudo usage. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

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.

aianthropicclaude-codeclaude-code-routeropenai

Quick Facts

Stars517
Forks63
LanguageRust
CategoryClaude Skill
LicenseMIT
Quality Score75/100
Open Issues13
Last Updated2025-11-19
Created2025-11-16
Platformsclaude-code, rust
Est. Tokens~86k

About claude-code-mux

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.

Compatible Skills

These tools work well together with claude-code-mux for enhanced workflows:

  • lunaroute — semantic(0.18)+complementary+shared_fw(openai)+same_lang+similar_pop+shared_platform (59%)
  • agentrove — semantic(0.19)+complementary+shared_fw(anthropic,openai)+similar_pop+shared_platform (58%)
  • claudex — semantic(0.19)+complementary+shared_fw(anthropic,openai)+similar_pop+shared_platform (58%)
  • claude-code-gpt-5-codex — semantic(0.19)+complementary+shared_fw(anthropic,openai)+similar_pop+shared_platform (58%)
  • ccNexus — semantic(0.22)+complementary+shared_fw(openai)+rare_topics+similar_pop+shared_platform (55%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 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:

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