Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npm install -g cute-claude-hooks
npx cute-claude-hooks-installTaken from the project's README on GitHub. Check the security audit before running it.
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.
| Stars | 208 |
| Forks | 26 |
| Language | JavaScript |
| Category | AI Tool |
| License | MIT |
| Quality Score | 58/100 |
| Open Issues | 8 |
| Last Updated | 2026-08-15 |
| Created | 2026-03-28 |
| Platforms | claude-code, node |
| Est. Tokens | ~15k |
中文增强工具包。当前真实可用核心是工具提示与完成通知；界面汉化仅适用于 Claude Code 2.1.112 及以前版本。 一眼看懂 从这里开始 完整说明 ⚠️ 重要版本兼容性公告 (2025-05) Anthropic 从 Claude Code v2.1.113 开始将 npm 包从 Node.js 脚本 () 改为编译二进制 ()。 这导致所有基于字符串替换的界面汉化方案彻底失效，包括本项目的界面汉化功能。 工具提示 Hook 不受影响，所有版本均可正常使用。界面汉化功能等待后续适配方案。 🌸 让 Claude Code 拥有中文体验！工具提示 Hook，专为编程小白设计（界面汉化仅支持 ≤ 2.1.1
Looking for a cute-claude-hooks alternative? If you're comparing cute-claude-hooks with other ai tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
A tool to make socks connections through HTTP agents
Open-source AI research assistant for biomedicine — chat to run RNA-seq, drug discovery, clinical analysis, an
SciToolAgent: A Knowledge Graph-Driven Scientific Agent for Multi-Tool Integration
Skip to content github / docs Code Issues 80 Pull requests 35 Discussions Actions Projects 2 Security Insights
Skill to talk to Claude about your projects over the phone
.NET MAUI skills for GitHub Copilot and Claude Code
Explore other popular ai tool tools:
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: