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 openbestof · Agent Tool · ★ 581
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is awesome-ai safe to install? View the security audit →
Awesome AI A curated list of awesome AI tools, frameworks, api, software and resources. Table of Contents Awesome AI Table of Contents AI API AI Cloud LLMs Backend LLMs ChatUI Stable Diffusion Code Assistant Autonomous Agents Knowledge Manager LLMs Eval LLMs Framework LLMs Training Vector Database AI Course Audio Gen AI API | <img src="https://
| Stars | 581 |
| Forks | 120 |
| Category | Agent Tool |
| Quality Score | 52.7766731415531/100 |
| Open Issues | 66 |
| Last Updated | 2024-05-04 |
| Created | 2024-05-04 |
| Est. Tokens | ~2k |
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awesome-ai is A curated list of awesome AI tools, frameworks, api, software and resources.. It is categorized as a Agent Tool with 581 GitHub stars.
You can find installation instructions and usage details in the awesome-ai GitHub repository at github.com/openbestof/awesome-ai. The project has 581 stars and 120 forks, indicating an active community.
The top alternatives to awesome-ai on Agent Skills Hub include awesome-gpt-prompt-engineering, awesome-llms-fine-tuning, Awesome-AI-For-Security. 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: