awesome-claude: A curated list of awesome things related to Anthropic Claude

by webfuse-com · Agent Tool · ★ 1.7k

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

Security audit verdict: SAFE · quality 57/100

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.

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Quick Facts

Stars1,685
Forks412
LanguageTypeScript
CategoryAgent Tool
LicenseCC0-1.0
Quality Score57/100
Open Issues247
Last Updated2026-09-30
Created2025-08-14
Platformsclaude-code, node
Est. Tokens~18k

About awesome-claude

Awesome Claude AI assistant by Anthropic for complex reasoning, code generation, and analysis tasks. Claude is a large language model developed by Anthropic that excels at complex reasoning, code generation, and analysis tasks. Built with Constitutional AI principles, Claude provides reliable assistance for programming, writing, research, and problem-solving while maintaining safety and accuracy.

awesome-claude alternative? Top 6 similar tools

Looking for a awesome-claude alternative? If you're comparing awesome-claude with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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    Collection of AI-related utilities. Welcome to submit pull requests /收藏AI相关的实用工具,欢迎提交pull requests

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    Claude Code Guide - Setup, Commands, workflows, agents, skills & tips-n-tricks from beginner to power user!

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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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