No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by ikaijua · Claude Skill · ★ 6.2k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Awesome-AITools safe to install? View the security audit →
Awesome AI Tools English | 中文 This repo collects awesome AI tools. Welcome everyone to recommend more awesome AI tools together! Please use the following template as a reference for your recommendations. issue All Categories All Categories ChatGPT and other AI chatbot AI Agent Open Source LLMs LLM Leaderboard GPT LLMs Applications AI Coding Agent Skills [AI Image Creation](#ai-image-crea
| Stars | 6,206 |
| Forks | 831 |
| Language | Python |
| Category | Claude Skill |
| License | CC-BY-4.0 |
| Quality Score | 55.0789825811856/100 |
| Open Issues | 60 |
| Last Updated | 2026-10-03 |
| Created | 2023-04-02 |
| Platforms | claude-code, gemini, python |
| Est. Tokens | ~25k |
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Awesome-AITools is 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. It is categorized as a Claude Skill with 6.2k GitHub stars.
Awesome-AITools is primarily written in Python. It covers topics such as agent-skills, agents, ai.
You can find installation instructions and usage details in the Awesome-AITools GitHub repository at github.com/ikaijua/Awesome-AITools. The project has 6.2k stars and 831 forks, indicating an active community.
Awesome-AITools is released under the CC-BY-4.0 license, making it free to use and modify according to the license terms.
The top alternatives to Awesome-AITools on Agent Skills Hub include repomix, ai-guide, py-gpt. 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: