--- title: "awesome-prompts vs chatgpt_system_prompt" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ai-boost-awesome-prompts-vs-louisshark-chatgpt-system-prompt" tools: ["ai-boost-awesome-prompts", "louisshark-chatgpt-system-prompt"] --- # awesome-prompts vs chatgpt_system_prompt *GraphCanon updated Jul 28, 2026* ## Verdict Pick awesome-prompts if awesome-prompts is a collection of rated GPT prompts from the GPTs Store with a focus on engineering, attacks, protections, and academic papers; pick chatgpt_system_prompt if chatgpt_system_prompt is an essential resource for developers specifically using GPT models needing a collection of system prompts alongside education on the critical issue of prompt injection and leaking. [awesome-prompts](https://awesomegpt.vip) reports 8.4k GitHub stars, 798 forks, and 35 open issues, last pushed Jul 11, 2026. [chatgpt_system_prompt](https://github.com/LouisShark/chatgpt_system_prompt) has 11k stars, 1.5k forks, and 1 open issues, last pushed Jul 27, 2026. Figures are from public GitHub metadata via [awesome-prompts's repository](https://github.com/ai-boost/awesome-prompts) and [chatgpt_system_prompt's repository](https://github.com/LouisShark/chatgpt_system_prompt). | | [awesome-prompts](/tools/ai-boost-awesome-prompts.md) | [chatgpt_system_prompt](/tools/louisshark-chatgpt-system-prompt.md) | | --- | --- | --- | | Tagline | Curated chatgpt prompts and advanced prompt engineering papers | A collection of GPT system prompts and knowledge on prompt injection leaking | | Stars | 8,440 | 10,699 | | Forks | 798 | 1,468 | | Open issues | 35 | 1 | | Language | - | HTML | | Adopt for | awesome-prompts is a collection of rated GPT prompts from the GPTs Store with a focus on engineering, attacks, protections, and academic papers. | chatgpt_system_prompt is an essential resource for developers specifically using GPT models needing a collection of system prompts alongside education on the critical issue of prompt injection and leaking. | | Persona | - | - | | Runtime | - | - | | License | GPL-3.0 | MIT | | Categories | Developer Tools | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-prompts](/tools/ai-boost-awesome-prompts.md) | [chatgpt_system_prompt](/tools/louisshark-chatgpt-system-prompt.md) | | --- | --- | --- | | Open issues (now) | 35 | 1 | | Full report | [trust report](/tools/ai-boost-awesome-prompts/trust.md) | [trust report](/tools/louisshark-chatgpt-system-prompt/trust.md) | ## Decision facts: awesome-prompts - **Adopt for:** awesome-prompts is a collection of rated GPT prompts from the GPTs Store with a focus on engineering, attacks, protections, and academic papers. ## Decision facts: chatgpt_system_prompt - **Adopt for:** chatgpt_system_prompt is an essential resource for developers specifically using GPT models needing a collection of system prompts alongside education on the critical issue of prompt injection and leaking. ## Choose when ### Choose awesome-prompts if… - License: awesome-prompts is GPL-3.0, chatgpt_system_prompt is MIT. - Tags unique to awesome-prompts: awesome-list, chatgpt, prompt-attack, prompt-protect. - Need detailed prompt engineering resources ### Choose chatgpt_system_prompt if… - License: chatgpt_system_prompt is MIT, awesome-prompts is GPL-3.0. - Tags unique to chatgpt_system_prompt: gpt. - When working with GPT models, you seek direct examples and guidance related to secure prompt design ## When NOT to use awesome-prompts - Seeking a platform for generating new prompts rather than reviewing existing ones - In search of direct support tools or services, not just informational content - Requiring real-time collaboration on prompt creation and experimentation ## When NOT to use chatgpt_system_prompt - For developing or troubleshooting other types of AI models not based on GPT architecture which might have different requirements for system prompts - In scenarios where the focus is on learning generic machine learning principles rather than specific to GPT's prompt engineering considerations and limitations ## Common questions ### What is the difference between awesome-prompts and chatgpt_system_prompt? awesome-prompts: Curated chatgpt prompts and advanced prompt engineering papers. chatgpt_system_prompt: A collection of GPT system prompts and knowledge on prompt injection leaking. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-prompts over chatgpt_system_prompt? Choose awesome-prompts over chatgpt_system_prompt when License: awesome-prompts is GPL-3.0, chatgpt_system_prompt is MIT; Tags unique to awesome-prompts: awesome-list, chatgpt, prompt-attack, prompt-protect; Need detailed prompt engineering resources. ### When should I choose chatgpt_system_prompt over awesome-prompts? Choose chatgpt_system_prompt over awesome-prompts when License: chatgpt_system_prompt is MIT, awesome-prompts is GPL-3.0; Tags unique to chatgpt_system_prompt: gpt; When working with GPT models, you seek direct examples and guidance related to secure prompt design. ### When should I avoid awesome-prompts? Seeking a platform for generating new prompts rather than reviewing existing ones In search of direct support tools or services, not just informational content Requiring real-time collaboration on prompt creation and experimentation ### When should I avoid chatgpt_system_prompt? For developing or troubleshooting other types of AI models not based on GPT architecture which might have different requirements for system prompts In scenarios where the focus is on learning generic machine learning principles rather than specific to GPT's prompt engineering considerations and limitations ### Is awesome-prompts or chatgpt_system_prompt more popular on GitHub? chatgpt_system_prompt has more GitHub stars (10,699 vs 8,440). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-prompts and chatgpt_system_prompt open source? Yes - both are open-source projects on GitHub (awesome-prompts: GPL-3.0, chatgpt_system_prompt: MIT). ### Where can I find alternatives to awesome-prompts or chatgpt_system_prompt? GraphCanon lists graph-backed alternatives at [awesome-prompts alternatives](/tools/ai-boost-awesome-prompts/alternatives) and [chatgpt_system_prompt alternatives](/tools/louisshark-chatgpt-system-prompt/alternatives) ([awesome-prompts markdown twin](/tools/ai-boost-awesome-prompts/alternatives.md), [chatgpt_system_prompt markdown twin](/tools/louisshark-chatgpt-system-prompt/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/ai-boost-awesome-prompts-vs-louisshark-chatgpt-system-prompt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, awesome-prompts or chatgpt_system_prompt? awesome-prompts: Very active. chatgpt_system_prompt: 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 awesome-prompts and chatgpt_system_prompt? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-prompts trust report](/tools/ai-boost-awesome-prompts/trust); [chatgpt_system_prompt trust report](/tools/louisshark-chatgpt-system-prompt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ai-boost-awesome-prompts`](/api/graphcanon/graph?tool=ai-boost-awesome-prompts) - 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/_