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 daveebbelaar · LLM Plugin · ★ 4.6k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ai-cookbook safe to install? View the security audit →
Introduction This Cookbook contains examples and tutorials to help developers build AI systems with copy/paste code snippets that you can easily integrate into your own projects. About me I'm Dave, an AI engineer and founder of Datalumina. I run an AI development company, and on my YouTube channel, I share practical tutorials that teach you how to build AI systems that actually work in the real world. My other work Beyond this cookbook, I've created a few other resources that might help you depending on where you are in your career. If you're completely new to AI and just getting started with Python, I have a free five-hour course that covers everything you need to know to build a solid foundation. If you're already comfortable with the basics and want to go deeper, I run a program where I teach developers how to build and deploy end-to-end GenAI solutions using the same approach we use for our agency clients. And if you're a skilled developer or data professional looking to go independent, I can help you land your first client.
| Stars | 4,552 |
| Forks | 1,589 |
| Language | Python |
| Category | LLM Plugin |
| License | MIT |
| Quality Score | 57.9689048379382/100 |
| Last Updated | 2026-09-21 |
| Created | 2025-01-30 |
| Platforms | python |
| Est. Tokens | ~13k |
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ai-cookbook is Examples and tutorials to help developers build AI systems. It is categorized as a LLM Plugin with 4.6k GitHub stars.
ai-cookbook is primarily written in Python. It covers topics such as agents, ai, anthropic.
You can find installation instructions and usage details in the ai-cookbook GitHub repository at github.com/daveebbelaar/ai-cookbook. The project has 4.6k stars and 1589 forks, indicating an active community.
ai-cookbook is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ai-cookbook on Agent Skills Hub include sdk-python, tools, unity-mcp. 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: