Comparison
system_prompts_leaks vs ai-engineering-hub
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.
Markdown twin · system_prompts_leaks alternatives · ai-engineering-hub alternatives
GraphCanon updated 3d
vs
Trust & integrity
| Signal | system_prompts_leaks | ai-engineering-hub |
|---|---|---|
| Maintenance | Very active (1d since push) As of 5d · github_public_v1 | Active (21d since push) As of 3d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 5d · github_public_v1 | Not a fork · Personal account As of 3d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- Extracted system prompts from various AI agents and LLMs
- ai-engineering-hub
- Tutorials on LLMs, RAGs, and real-world AI agent applications
Stars
- system_prompts_leaks
- 63k
- ai-engineering-hub
- 37k
Forks
- system_prompts_leaks
- 10k
- 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 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,
- 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
- 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
- ai-engineering-hub
- MIT License
Last pushed
- system_prompts_leaks
- Aug 15, 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
- 1d
- ai-engineering-hub
- 21d
Open issues (now)
- system_prompts_leaks
- 55
- ai-engineering-hub
- 123
Stars delta
- system_prompts_leaks
- +4.6k (30d)
- ai-engineering-hub
- +463 (30d)
Open issues delta
- system_prompts_leaks
- +20 (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.
- 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 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.
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 Aug 16, 2026
- GitHub forks (asgeirtj/system_prompts_leaks) · observed Aug 16, 2026
- Last push (asgeirtj/system_prompts_leaks) · observed Aug 15, 2026
- License file (CC0-1.0) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (patchy631/ai-engineering-hub) · observed Aug 18, 2026
- GitHub forks (patchy631/ai-engineering-hub) · observed Aug 18, 2026
- Last push (patchy631/ai-engineering-hub) · observed Jul 27, 2026
- License file (MIT) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: system_prompts_leaks 63k · ai-engineering-hub 37k (synced Aug 16, 2026).
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 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.