# cyberalbsecop/awesome_gpt_super_prompting

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3,654 stars · 456 forks · HTML · gpl-3.0

## Links

- GitHub: https://github.com/CyberAlbSecOP/Awesome_GPT_Super_Prompting
- Homepage: https://0x0806.github.io/Awesome_GPT_Super_Prompting/
- awesome-repositories: https://awesome-repositories.com/repository/cyberalbsecop-awesome-gpt-super-prompting.md

## Topics

`adversarial-machine-learning` `agent` `ai` `assistant` `chatgpt` `gpt` `gpt-3` `gpt-4` `hacking` `jailbreak` `leaks` `llm` `prompt-engineering` `prompt-injection` `prompt-security` `prompts` `system-prompt`

## Description

This repository is a collection of specialized toolsets and libraries for large language model prompt engineering and security testing. It provides a library of advanced templates and frameworks designed to optimize the quality and specificity of model responses.

The project includes resources for red teaming and security research, featuring a repository of prompts designed to bypass safety filters and operational constraints. It also provides techniques for system prompt extraction to reveal the internal instructions and configurations of AI personas.

The collection covers a broader surface of prompt optimization and security hardening, including methodologies for iterative refinement and the implementation of defensive rules to protect models against prompt injection and leaks.

## Tags

### Artificial Intelligence & ML

- [Jailbreak Prompts](https://awesome-repositories.com/f/artificial-intelligence-ml/prompt-engineering/jailbreak-prompts.md) — Curates a repository of specialized prompts designed to bypass safety filters for vulnerability research.
- [Prompt Injection Techniques](https://awesome-repositories.com/f/artificial-intelligence-ml/ai-security-and-governance/adversarial-security-research/prompt-injection-techniques.md) — Provides specialized linguistic triggers and adversarial patterns designed to bypass AI safety constraints.
- [Prompt Engineering Libraries](https://awesome-repositories.com/f/artificial-intelligence-ml/generative-ai-resources/prompt-engineering-libraries.md) — Provides a community-driven library of reusable templates to optimize the quality of conversational AI responses.
- [LLM Jailbreak Protections](https://awesome-repositories.com/f/artificial-intelligence-ml/llm-jailbreak-protections.md) — Implements defensive prompt-based hardening to protect models from leaks and malicious injections.
- [Prompt Engineering](https://awesome-repositories.com/f/artificial-intelligence-ml/prompt-engineering.md) — Provides advanced frameworks and templates for the professional practice of designing and refining AI inputs.
- [Prompt Templates](https://awesome-repositories.com/f/artificial-intelligence-ml/prompt-templates.md) — Ships a library of reusable structures and frameworks to standardize and improve LLM input specificity.
- [Extraction Techniques](https://awesome-repositories.com/f/artificial-intelligence-ml/system-prompts/extraction-techniques.md) — Provides techniques and queries to reconstruct and reveal the internal hidden instructions of AI personas.
- [System Instruction Personas](https://awesome-repositories.com/f/artificial-intelligence-ml/model-configuration/role-based-model-assignment/system-instruction-personas.md) — Includes behavioral directives and expert roles to constrain model probability space for technical accuracy.
- [Model Red-Teaming](https://awesome-repositories.com/f/artificial-intelligence-ml/model-red-teaming.md) — Offers a framework for adversarial testing to identify safety failures and prompt-based vulnerabilities.
- [Prompt Iteration Workflows](https://awesome-repositories.com/f/artificial-intelligence-ml/prompt-iteration-workflows.md) — Offers methodologies for the iterative cycle of testing and refining prompts based on model feedback.
- [Prompt Optimization Frameworks](https://awesome-repositories.com/f/artificial-intelligence-ml/prompt-optimization-frameworks.md) — Provides a structured framework of templates and techniques for improving the performance and quality of prompts. ([source](https://0x0806.github.io/Awesome_GPT_Super_Prompting/))

### Part of an Awesome List

- [Jailbreak Defenses](https://awesome-repositories.com/f/awesome-lists/security/jailbreak-defenses.md) — Implements defensive rules and filtering strategies to protect models against jailbreak attempts.

### Security & Cryptography

- [Prompt Injection Defenses](https://awesome-repositories.com/f/security-cryptography/model-context-protocol-security/prompt-injection-defenses.md) — Provides security controls and prompt-based rules to defend against malicious prompt injection attacks. ([source](https://0x0806.github.io/Awesome_GPT_Super_Prompting/))
- [Safety Filter Bypasses](https://awesome-repositories.com/f/security-cryptography/model-safety-filters/safety-filter-bypasses.md) — Supplies techniques for circumventing AI content moderation and safety alignment mechanisms. ([source](https://0x0806.github.io/Awesome_GPT_Super_Prompting/))