--- title: "system_prompts_leaks vs awesome-LLM-resources" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/asgeirtj-system-prompts-leaks-vs-wangrongsheng-awesome-llm-resources" tools: ["asgeirtj-system-prompts-leaks", "wangrongsheng-awesome-llm-resources"] --- # system_prompts_leaks vs awesome-LLM-resources *GraphCanon updated Aug 17, 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 awesome-LLM-resources if awesome-LLM-resources offers a curated and comprehensive list of resources related to Large Language Models (LLMs), including materials for specialized areas like RAG (Retrieval-Augmented Generation). [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. [awesome-LLM-resources](https://github.com/WangRongsheng/awesome-LLM-resources) has 8.8k stars, 950 forks, and 23 open issues, last pushed Aug 14, 2026. Figures are from public GitHub metadata via [system_prompts_leaks's repository](https://github.com/asgeirtj/system_prompts_leaks) and [awesome-LLM-resources's repository](https://github.com/WangRongsheng/awesome-LLM-resources). | | [system_prompts_leaks](/tools/asgeirtj-system-prompts-leaks.md) | [awesome-LLM-resources](/tools/wangrongsheng-awesome-llm-resources.md) | | --- | --- | --- | | Tagline | Extracted system prompts from various AI agents and LLMs | Summary of the world's best LLM resources. | | Stars | 62,977 | 8,845 | | Forks | 10,337 | 950 | | Open issues | 55 | 23 | | Language | JavaScript | - | | 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, | awesome-LLM-resources offers a curated and comprehensive list of resources related to Large Language Models (LLMs), including materials for specialized areas like RAG (Retrieval-Augmented Generation) and agentic RL, as a | | 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 | Apache-2.0 | | Categories | AI Agents, LLM Frameworks | AI Agents, Developer Tools, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [system_prompts_leaks](/tools/asgeirtj-system-prompts-leaks.md) | [awesome-LLM-resources](/tools/wangrongsheng-awesome-llm-resources.md) | | --- | --- | --- | | Days since push | 1d | 2d | | Open issues (now) | 55 | 23 | | Stars delta | +4.6k (30d) | +142 (30d) | | Open issues delta | +20 (30d) | -13 (30d) | | Full report | [trust report](/tools/asgeirtj-system-prompts-leaks/trust.md) | [trust report](/tools/wangrongsheng-awesome-llm-resources/trust.md) | **Typed relationship:** system_prompts_leaks _(related)_ awesome-LLM-resources system_prompts_leaks and awesome-LLM-resources both collect information related to LLMs, tools, and resources. ## 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: awesome-LLM-resources - **Adopt for:** awesome-LLM-resources offers a curated and comprehensive list of resources related to Large Language Models (LLMs), including materials for specialized areas like RAG (Retrieval-Augmented Generation) and agentic RL, as a ## Choose when ### Choose system_prompts_leaks if… - License: system_prompts_leaks is CC0-1.0, awesome-LLM-resources is Apache-2.0. - system_prompts_leaks and awesome-LLM-resources both collect information related to LLMs, tools, and resources. - Tags unique to system_prompts_leaks: ai-agents, anthropic, google, prompt-engineering. - When you need to understand or reverse-engineer the guidelines that certain AI agents or LLMs are operating under for educational purposes. ### Choose awesome-LLM-resources if… - License: awesome-LLM-resources is Apache-2.0, system_prompts_leaks is CC0-1.0. - system_prompts_leaks and awesome-LLM-resources both collect information related to LLMs, tools, and resources. - Tags unique to awesome-LLM-resources: awesome-list, book, course, large language models. - Also covers Developer Tools, Evaluation & Observability, Inference & Serving, Model Training. - - It's ideal when you seek an exhaustive and up-to-date compilation covering extensive knowledge points in LLM technologies. ## 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 awesome-LLM-resources - - Avoid using this resource if you specifically need detailed step-by-step guides or hands-on tutorials that focus deeply on a single technology rather than broad coverage. - - It might not be the best choice when you are looking for resources in languages other than English, especially given its extensive English content. ## Common questions ### What is the difference between system_prompts_leaks and awesome-LLM-resources? system_prompts_leaks: Extracted system prompts from various AI agents and LLMs. awesome-LLM-resources: Summary of the world's best LLM resources.. See the comparison table for live GitHub stats and shared categories. ### When should I choose system_prompts_leaks over awesome-LLM-resources? Choose system_prompts_leaks over awesome-LLM-resources when License: system_prompts_leaks is CC0-1.0, awesome-LLM-resources is Apache-2.0; system_prompts_leaks and awesome-LLM-resources both collect information related to LLMs, tools, and resources; Tags unique to system_prompts_leaks: ai-agents, anthropic, google, prompt-engineering; 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 awesome-LLM-resources over system_prompts_leaks? Choose awesome-LLM-resources over system_prompts_leaks when License: awesome-LLM-resources is Apache-2.0, system_prompts_leaks is CC0-1.0; system_prompts_leaks and awesome-LLM-resources both collect information related to LLMs, tools, and resources; Tags unique to awesome-LLM-resources: awesome-list, book, course, large language models; Also covers Developer Tools, Evaluation & Observability, Inference & Serving, Model Training; - It's ideal when you seek an exhaustive and up-to-date compilation covering extensive knowledge points in LLM technologies. ### 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 awesome-LLM-resources? - Avoid using this resource if you specifically need detailed step-by-step guides or hands-on tutorials that focus deeply on a single technology rather than broad coverage. - It might not be the best choice when you are looking for resources in languages other than English, especially given its extensive English content. ### Is system_prompts_leaks or awesome-LLM-resources more popular on GitHub? system_prompts_leaks has more GitHub stars (62,977 vs 8,845). Stars measure visibility, not whether either tool fits your constraints. ### Are system_prompts_leaks and awesome-LLM-resources open source? Yes - both are open-source projects on GitHub (system_prompts_leaks: CC0-1.0, awesome-LLM-resources: Apache-2.0). ### Where can I find alternatives to system_prompts_leaks or awesome-LLM-resources? GraphCanon lists graph-backed alternatives at [system_prompts_leaks alternatives](/tools/asgeirtj-system-prompts-leaks/alternatives) and [awesome-LLM-resources alternatives](/tools/wangrongsheng-awesome-llm-resources/alternatives) ([system_prompts_leaks markdown twin](/tools/asgeirtj-system-prompts-leaks/alternatives.md), [awesome-LLM-resources markdown twin](/tools/wangrongsheng-awesome-llm-resources/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-wangrongsheng-awesome-llm-resources.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 awesome-LLM-resources? system_prompts_leaks: Very active. awesome-LLM-resources: Very 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 awesome-LLM-resources? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [system_prompts_leaks trust report](/tools/asgeirtj-system-prompts-leaks/trust); [awesome-LLM-resources trust report](/tools/wangrongsheng-awesome-llm-resources/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/_