--- title: "system_prompts_leaks vs awesome-ai-apps" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/asgeirtj-system-prompts-leaks-vs-rohitg00-awesome-ai-apps" tools: ["asgeirtj-system-prompts-leaks", "rohitg00-awesome-ai-apps"] --- # system_prompts_leaks vs awesome-ai-apps *GraphCanon updated Aug 16, 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-ai-apps if awesome-ai-apps offers curated AI application examples with diverse tech stacks including OpenAI, Gemini, and local models. [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-ai-apps](https://agenstskills.com) has 817 stars, 174 forks, and 27 open issues, last pushed Feb 10, 2026. Figures are from public GitHub metadata via [system_prompts_leaks's repository](https://github.com/asgeirtj/system_prompts_leaks) and [awesome-ai-apps's repository](https://github.com/rohitg00/awesome-ai-apps). | | [system_prompts_leaks](/tools/asgeirtj-system-prompts-leaks.md) | [awesome-ai-apps](/tools/rohitg00-awesome-ai-apps.md) | | --- | --- | --- | | Tagline | Extracted system prompts from various AI agents and LLMs | A curated collection of AI Agents and LLM Apps with various tech stacks | | Stars | 62,977 | 817 | | Forks | 10,337 | 174 | | Open issues | 55 | 27 | | Language | JavaScript | HTML | | 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-ai-apps offers curated AI application examples with diverse tech stacks including OpenAI, Gemini, and local models. | | 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, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [system_prompts_leaks](/tools/asgeirtj-system-prompts-leaks.md) | [awesome-ai-apps](/tools/rohitg00-awesome-ai-apps.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 1d | 182d | | Open issues (now) | 55 | 27 | | Stars delta | +4.6k (30d) | Unknown | | Open issues delta | +20 (30d) | Unknown | | Full report | [trust report](/tools/asgeirtj-system-prompts-leaks/trust.md) | [trust report](/tools/rohitg00-awesome-ai-apps/trust.md) | ## 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-ai-apps - **Adopt for:** awesome-ai-apps offers curated AI application examples with diverse tech stacks including OpenAI, Gemini, and local models. ## Choose when ### Choose system_prompts_leaks if… - system_prompts_leaks is primarily JavaScript; awesome-ai-apps is HTML. - License: system_prompts_leaks is CC0-1.0, awesome-ai-apps is Apache-2.0. - Tags unique to system_prompts_leaks: ai-agents, anthropic, google, openai. - When you need to understand or reverse-engineer the guidelines that certain AI agents or LLMs are operating under for educational purposes. ### Choose awesome-ai-apps if… - awesome-ai-apps is primarily HTML; system_prompts_leaks is JavaScript. - License: awesome-ai-apps is Apache-2.0, system_prompts_leaks is CC0-1.0. - Tags unique to awesome-ai-apps: agents, ai, apps, automation. - For exploring real-world implementations of AI agents across different 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-ai-apps - When seeking detailed implementation steps specific to one technology stack - In scenarios demanding a deep dive into proprietary or less publicly-known application codes ## Common questions ### What is the difference between system_prompts_leaks and awesome-ai-apps? system_prompts_leaks: Extracted system prompts from various AI agents and LLMs. awesome-ai-apps: A curated collection of AI Agents and LLM Apps with various tech stacks. See the comparison table for live GitHub stats and shared categories. ### When should I choose system_prompts_leaks over awesome-ai-apps? Choose system_prompts_leaks over awesome-ai-apps when system_prompts_leaks is primarily JavaScript; awesome-ai-apps is HTML; License: system_prompts_leaks is CC0-1.0, awesome-ai-apps is Apache-2.0; Tags unique to system_prompts_leaks: ai-agents, anthropic, google, openai; 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-ai-apps over system_prompts_leaks? Choose awesome-ai-apps over system_prompts_leaks when awesome-ai-apps is primarily HTML; system_prompts_leaks is JavaScript; License: awesome-ai-apps is Apache-2.0, system_prompts_leaks is CC0-1.0; Tags unique to awesome-ai-apps: agents, ai, apps, automation; For exploring real-world implementations of AI agents across different 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-ai-apps? When seeking detailed implementation steps specific to one technology stack In scenarios demanding a deep dive into proprietary or less publicly-known application codes ### Is system_prompts_leaks or awesome-ai-apps more popular on GitHub? system_prompts_leaks has more GitHub stars (62,977 vs 817). Stars measure visibility, not whether either tool fits your constraints. ### Are system_prompts_leaks and awesome-ai-apps open source? Yes - both are open-source projects on GitHub (system_prompts_leaks: CC0-1.0, awesome-ai-apps: Apache-2.0). ### Where can I find alternatives to system_prompts_leaks or awesome-ai-apps? GraphCanon lists graph-backed alternatives at [system_prompts_leaks alternatives](/tools/asgeirtj-system-prompts-leaks/alternatives) and [awesome-ai-apps alternatives](/tools/rohitg00-awesome-ai-apps/alternatives) ([system_prompts_leaks markdown twin](/tools/asgeirtj-system-prompts-leaks/alternatives.md), [awesome-ai-apps markdown twin](/tools/rohitg00-awesome-ai-apps/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-rohitg00-awesome-ai-apps.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-ai-apps? system_prompts_leaks: Very active. awesome-ai-apps: Slowing. 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-ai-apps? 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-ai-apps trust report](/tools/rohitg00-awesome-ai-apps/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/_