--- title: "system_prompts_leaks vs ai-engineering-hub" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/asgeirtj-system-prompts-leaks-vs-patchy631-ai-engineering-hub" tools: ["asgeirtj-system-prompts-leaks", "patchy631-ai-engineering-hub"] --- # system_prompts_leaks vs ai-engineering-hub *GraphCanon updated Aug 18, 2026* ## Verdict Pick system_prompts_leaks if system_prompts_leaks is a repository of extracted system prompts from various AI agents and large language models (LLMs), including Claude, ChatGPT, Gemini, Grok, among others. The repository is maintained in JavaScript,; pick ai-engineering-hub if a collection of in-depth tutorials aiming to cover a wide range from beginner to advanced concepts in AI, including large language models (LLMs), Retrieval-Augmented. [system_prompts_leaks](https://github.com/asgeirtj/system_prompts_leaks) reports 63k GitHub stars, 10k forks, and 55 open issues, last pushed Aug 15, 2026. [ai-engineering-hub](https://join.dailydoseofds.com) has 37k stars, 6.1k forks, and 123 open issues, last pushed Jul 27, 2026. Figures are from public GitHub metadata via [system_prompts_leaks's repository](https://github.com/asgeirtj/system_prompts_leaks) and [ai-engineering-hub's repository](https://github.com/patchy631/ai-engineering-hub). | | [system_prompts_leaks](/tools/asgeirtj-system-prompts-leaks.md) | [ai-engineering-hub](/tools/patchy631-ai-engineering-hub.md) | | --- | --- | --- | | Tagline | Extracted system prompts from various AI agents and LLMs | Tutorials on LLMs, RAGs, and real-world AI agent applications | | Stars | 62,977 | 37,020 | | Forks | 10,337 | 6,107 | | Open issues | 55 | 123 | | Language | JavaScript | Jupyter Notebook | | Adopt for | system_prompts_leaks is a repository of extracted system prompts from various AI agents and large language models (LLMs), including Claude, ChatGPT, Gemini, Grok, among others. The repository is maintained in JavaScript, | A collection of in-depth tutorials aiming to cover a wide range from beginner to advanced concepts in AI, including large language models (LLMs), Retrieval-Augmented Generation (RAG) systems and practical applications of | | Persona | - | - | | Runtime | - | - | | License | The license under which this repository operates (CC0-1.0) allows use, reproduction, and distribution with no attribution required. This means you can integrate the extracted system prompts for any of | MIT License | | Categories | AI Agents, LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [system_prompts_leaks](/tools/asgeirtj-system-prompts-leaks.md) | [ai-engineering-hub](/tools/patchy631-ai-engineering-hub.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 1d | 21d | | Open issues (now) | 55 | 123 | | Stars delta | +4.6k (30d) | +463 (30d) | | Open issues delta | +20 (30d) | +4 (30d) | | Full report | [trust report](/tools/asgeirtj-system-prompts-leaks/trust.md) | [trust report](/tools/patchy631-ai-engineering-hub/trust.md) | **Typed relationship:** system_prompts_leaks _(related)_ ai-engineering-hub Both system_prompts_leaks and ai-engineering-hub provide resources for learning and building with AI, though in different forms (system prompts vs comprehensive resource). ## Decision facts: system_prompts_leaks - **Adopt for:** system_prompts_leaks is a repository of extracted system prompts from various AI agents and large language models (LLMs), including Claude, ChatGPT, Gemini, Grok, among others. The repository is maintained in JavaScript, - **License detail:** The license under which this repository operates (CC0-1.0) allows use, reproduction, and distribution with no attribution required. This means you can integrate the extracted system prompts for any of ## Decision facts: ai-engineering-hub - **Requirements:** The tutorials and projects use Jupyter Notebooks which require Python and a compatible local environment or cloud-based Jupyter services. - **Adopt for:** A collection of in-depth tutorials aiming to cover a wide range from beginner to advanced concepts in AI, including large language models (LLMs), Retrieval-Augmented Generation (RAG) systems and practical applications of - **License detail:** MIT License ## Choose when ### Choose system_prompts_leaks if… - system_prompts_leaks is primarily JavaScript; ai-engineering-hub is Jupyter Notebook. - License: system_prompts_leaks is CC0-1.0, ai-engineering-hub is MIT. - Both system_prompts_leaks and ai-engineering-hub provide resources for learning and building with AI, though in different forms (system prompts vs comprehensive resource). - Tags unique to system_prompts_leaks: ai-agents, anthropic, google, llm. - When you need to understand or reverse-engineer the guidelines that certain AI agents or LLMs are operating under for educational purposes. ### Choose ai-engineering-hub if… - ai-engineering-hub is primarily Jupyter Notebook; system_prompts_leaks is JavaScript. - License: ai-engineering-hub is MIT, system_prompts_leaks is CC0-1.0. - Requirements: The tutorials and projects use Jupyter Notebooks which require Python and a compatible local environment or cloud-based Jupyter services.. - Both system_prompts_leaks and ai-engineering-hub provide resources for learning and building with AI, though in different forms (system prompts vs comprehensive resource). - Tags unique to ai-engineering-hub: agents, ai, llms, machine-learning. - When you are looking for comprehensive learning paths ranging from complete beginners to advanced experts. ## When NOT to use system_prompts_leaks - If you are looking for a repository focused on model training data rather than just system prompts, as this tool only contains extracted prompts and not the datasets used for training. - In scenarios where strict confidentiality is required, as using or modifying leaked prompts without authorization might compromise ethical standards or violate usage policies. ## When NOT to use ai-engineering-hub - If your team already has significant proficiency in AI engineering and advanced LLM frameworks, as the content starts from zero knowledge up. - When you specifically need industry-standard proprietary tools or heavily specialized niche applications that go beyond foundational learning covered by this hub. - In scenarios where immediate advanced project results are required; ai-engineering-hub focuses on education through step-by-step tutorials rather than providing ready-made solutions with minimal setup ## Common questions ### What is the difference between system_prompts_leaks and ai-engineering-hub? system_prompts_leaks: Extracted system prompts from various AI agents and LLMs. ai-engineering-hub: Tutorials on LLMs, RAGs, and real-world AI agent applications. See the comparison table for live GitHub stats and shared categories. ### When should I choose system_prompts_leaks over ai-engineering-hub? Choose system_prompts_leaks over ai-engineering-hub when system_prompts_leaks is primarily JavaScript; ai-engineering-hub is Jupyter Notebook; License: system_prompts_leaks is CC0-1.0, ai-engineering-hub is MIT; Both system_prompts_leaks and ai-engineering-hub provide resources for learning and building with AI, though in different forms (system prompts vs comprehensive resource); Tags unique to system_prompts_leaks: ai-agents, anthropic, google, llm; When you need to understand or reverse-engineer the guidelines that certain AI agents or LLMs are operating under for educational purposes. ### When should I choose ai-engineering-hub over system_prompts_leaks? Choose ai-engineering-hub over system_prompts_leaks when ai-engineering-hub is primarily Jupyter Notebook; system_prompts_leaks is JavaScript; License: ai-engineering-hub is MIT, system_prompts_leaks is CC0-1.0; Requirements: The tutorials and projects use Jupyter Notebooks which require Python and a compatible local environment or cloud-based Jupyter services.; Both system_prompts_leaks and ai-engineering-hub provide resources for learning and building with AI, though in different forms (system prompts vs comprehensive resource); Tags unique to ai-engineering-hub: agents, ai, llms, machine-learning; When you are looking for comprehensive learning paths ranging from complete beginners to advanced experts. ### When should I avoid system_prompts_leaks? If you are looking for a repository focused on model training data rather than just system prompts, as this tool only contains extracted prompts and not the datasets used for training. In scenarios where strict confidentiality is required, as using or modifying leaked prompts without authorization might compromise ethical standards or violate usage policies. ### When should I avoid ai-engineering-hub? If your team already has significant proficiency in AI engineering and advanced LLM frameworks, as the content starts from zero knowledge up. When you specifically need industry-standard proprietary tools or heavily specialized niche applications that go beyond foundational learning covered by this hub. In scenarios where immediate advanced project results are required; ai-engineering-hub focuses on education through step-by-step tutorials rather than providing ready-made solutions with minimal setup ### Is system_prompts_leaks or ai-engineering-hub more popular on GitHub? system_prompts_leaks has more GitHub stars (62,977 vs 37,020). Stars measure visibility, not whether either tool fits your constraints. ### Are system_prompts_leaks and ai-engineering-hub open source? Yes - both are open-source projects on GitHub (system_prompts_leaks: CC0-1.0, ai-engineering-hub: MIT). ### Where can I find alternatives to system_prompts_leaks or ai-engineering-hub? GraphCanon lists graph-backed alternatives at [system_prompts_leaks alternatives](/tools/asgeirtj-system-prompts-leaks/alternatives) and [ai-engineering-hub alternatives](/tools/patchy631-ai-engineering-hub/alternatives) ([system_prompts_leaks markdown twin](/tools/asgeirtj-system-prompts-leaks/alternatives.md), [ai-engineering-hub markdown twin](/tools/patchy631-ai-engineering-hub/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/asgeirtj-system-prompts-leaks-vs-patchy631-ai-engineering-hub.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, system_prompts_leaks or ai-engineering-hub? system_prompts_leaks: Very active. ai-engineering-hub: Active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for system_prompts_leaks and ai-engineering-hub? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [system_prompts_leaks trust report](/tools/asgeirtj-system-prompts-leaks/trust); [ai-engineering-hub trust report](/tools/patchy631-ai-engineering-hub/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=asgeirtj-system-prompts-leaks`](/api/graphcanon/graph?tool=asgeirtj-system-prompts-leaks) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_