Comparison
system_prompts_leaks vs ai-engineering-hub
Verdict
Pick system_prompts_leaks if system_prompts_leaks is a repository that collects and shares leaked system prompts from various AI agents, including Anthropic Claude, OpenAI ChatGPT, Google Gemini, and xAI Grok. It is updated regularly and provides a窥; 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.
Markdown twin · system_prompts_leaks alternatives · ai-engineering-hub alternatives
GraphCanon updated Sep 20, 2026
10views this month
vs
Trust & integrity
| Signal | system_prompts_leaks | ai-engineering-hub |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Active (21d since push) As of Aug 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 | Not a fork · Personal account As of Aug 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- system_prompts_leaks
- Leaked system prompts from various AI agents
- ai-engineering-hub
- Tutorials on LLMs, RAGs, and real-world AI agent applications
Stars
- system_prompts_leaks
- 67k
- ai-engineering-hub
- 37k
Forks
- system_prompts_leaks
- 11k
- ai-engineering-hub
- 6.1k
Open issues
- system_prompts_leaks
- 55
- ai-engineering-hub
- 123
Language
- system_prompts_leaks
- JavaScript
- ai-engineering-hub
- Jupyter Notebook
Adopt for
- system_prompts_leaks
- system_prompts_leaks is a repository that collects and shares leaked system prompts from various AI agents, including Anthropic Claude, OpenAI ChatGPT, Google Gemini, and xAI Grok. It is updated regularly and provides a窥
- ai-engineering-hub
- 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
- system_prompts_leaks
- -
- ai-engineering-hub
- -
Runtime
- system_prompts_leaks
- -
- ai-engineering-hub
- -
License
- system_prompts_leaks
- CC0-1.0
- ai-engineering-hub
- MIT License
Last pushed
- system_prompts_leaks
- Sep 17, 2026
- ai-engineering-hub
- Jul 27, 2026
Categories
- system_prompts_leaks
- AI Agents, LLM Frameworks
- ai-engineering-hub
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- system_prompts_leaks
- Very active (96%)
- ai-engineering-hub
- Active (82%)
Days since push
- system_prompts_leaks
- 0d
- ai-engineering-hub
- 21d
Open issues (now)
- system_prompts_leaks
- 55
- ai-engineering-hub
- 123
Stars delta
- system_prompts_leaks
- +4.4k (30d)
- ai-engineering-hub
- +463 (30d)
Open issues delta
- system_prompts_leaks
- 0 (30d)
- ai-engineering-hub
- +4 (30d)
Full report
- system_prompts_leaks
- Trust report
- ai-engineering-hub
- Trust report
Typed relationship
system_prompts_leaks ai-engineering-hubBoth system_prompts_leaks and ai-engineering-hub provide resources for learning and building with AI, though in different forms (system prompts vs comprehensive resource).
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.
- Pricing: The repository is available under the CC0-1.0 license, which means it is free to use and distribute without any restrictions. However, users should be cautious about the reliability and legality of.
- Requirements: Min 1 GB RAM; Users should have a basic understanding of AI agents and system prompts to effectively utilize the information provided in the repository.; It is recommended to cross-reference the information with official sources where possible to ensure accuracy and reliability..
- 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, ai-prompts, anthropic, chatbot.
- Use system_prompts_leaks when you need to understand the underlying instructions and rules that different AI agents follow. This can be particularly useful for researchers, developers, and prompt工程师
When NOT to use system_prompts_leaks
- Do not use system_prompts_leaks if you are looking for official documentation or support from the AI agent providers, as the content here is based on leaked information and may not be up-to-date or
- Avoid relying on this repository if you need legally compliant or secure system prompts, as the repository's content is unverified and may contain inaccuracies or outdated information.
- Do not use this repository if you are in a regulated industry where the use of unofficial or leaked system prompts could lead to compliance issues or security vulnerabilities.
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 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (asgeirtj/system_prompts_leaks) · observed Sep 20, 2026
- GitHub forks (asgeirtj/system_prompts_leaks) · observed Sep 20, 2026
- Last push (asgeirtj/system_prompts_leaks) · observed Sep 17, 2026
- License file (CC0-1.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (patchy631/ai-engineering-hub) · observed Sep 20, 2026
- GitHub forks (patchy631/ai-engineering-hub) · observed Sep 20, 2026
- Last push (patchy631/ai-engineering-hub) · observed Jul 27, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: system_prompts_leaks 67k · ai-engineering-hub 37k (synced Sep 20, 2026).
Common questions
- What is the difference between system_prompts_leaks and ai-engineering-hub?
- system_prompts_leaks: Leaked system prompts from various AI agents. 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; Pricing: The repository is available under the CC0-1.0 license, which means it is free to use and distribute without any restrictions. However, users should be cautious about the reliability and legality of; Requirements: Min 1 GB RAM; Users should have a basic understanding of AI agents and system prompts to effectively utilize the information provided in the repository.; It is recommended to cross-reference the information with official sources where possible to ensure accuracy and reliability.; 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, ai-prompts, anthropic, chatbot; Use system_prompts_leaks when you need to understand the underlying instructions and rules that different AI agents follow. This can be particularly useful for researchers, developers, and prompt工程师.
- 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?
- Do not use system_prompts_leaks if you are looking for official documentation or support from the AI agent providers, as the content here is based on leaked information and may not be up-to-date or Avoid relying on this repository if you need legally compliant or secure system prompts, as the repository's content is unverified and may contain inaccuracies or outdated information. Do not use this repository if you are in a regulated industry where the use of unofficial or leaked system prompts could lead to compliance issues or security vulnerabilities.
- 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 (67,400 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 and ai-engineering-hub alternatives (system_prompts_leaks markdown twin, ai-engineering-hub markdown twin), 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 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; ai-engineering-hub trust report.