claude-code-rust: Rust 全量重构的 Claude Code - 性能提升 2.5x，体积减少 97%

by lorryjovens-hub · MCP Server · ★ 1.7k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install claude-code-rust

git clone https://github.com/lorryjovens-hub/claude-code-rust.git

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

Security audit verdict: SAFE · quality 68/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. 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.

aiclaudeclimcpperformancereplrust

Quick Facts

Stars1,659
Forks639
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score68/100
Open Issues18
Last Updated2026-05-30
Created2026-03-31
Platformsclaude-code, cli, mcp, node
Est. Tokens~6552k

About claude-code-rust

本项目包含TS的claude code 源代码。完整的网站项目介绍：项目完整介绍，以及下载 https://claude-rust-gui.netlify.app/ 2026.4.24更新GUI客户端： Claude Code Rust 🦀 🚀 Anthropic Claude Code 的 Rust 全量重构版本 - 性能提升 2.5x，体积减少 97%，零依赖原生安全 []() [![Platform](https://img.shields.io/ba

Compatible Skills

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

  • verify — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (56%)
  • argus — semantic(0.18)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • chatml — semantic(0.30)+complementary+same_lang+similar_pop+shared_platform (55%)
  • claude-skills — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (52%)
  • easy-skills — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (52%)

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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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