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 deepset-ai · Agent Tool · ★ 547
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is haystack-cookbook safe to install? View the security audit →
👩🏻🍳 Haystack Cookbook 🧑🍳🍳Discover The Haystack Cookbook here A collection of example notebooks using Haystack 💚 These examples can serve as guidelines for using different model providers, vector databases, retrieval techniques, new experimental features, and more with Haystack. Most showcase a specific, small demo. To learn more about how to use Haystack, please visit our Docs and official Tutorials. For more examples, you may also find our Blog useful. Contributing to the Haystack Cookbook If you have an example that uses Haystack, you can add it to this repository by creating a PR. You can also create a PR directly from Colab by creating a fork of this repository and selecting "Save a Copy to GitHub" on Colab. Once you add your example to your fork, you can create a PR on this repository. Add your notebook to folder Give a descriptive name to your file that includes the names of (if applicable) the mod
| Stars | 547 |
| Forks | 129 |
| Language | Jupyter Notebook |
| Category | Agent Tool |
| Quality Score | 52.5875893844347/100 |
| Open Issues | 24 |
| Last Updated | 2026-09-08 |
| Created | 2024-01-02 |
| Est. Tokens | ~16k |
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haystack-cookbook is 👩🏻🍳 A collection of example notebooks using Haystack. It is categorized as a Agent Tool with 547 GitHub stars.
haystack-cookbook is primarily written in Jupyter Notebook. It covers topics such as agentic, agentic-ai, agents.
You can find installation instructions and usage details in the haystack-cookbook GitHub repository at github.com/deepset-ai/haystack-cookbook. The project has 547 stars and 129 forks, indicating an active community.
The top alternatives to haystack-cookbook on Agent Skills Hub include tools, samples, agent-builder. 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: