145 prompts
Prompts that check robustness when evidence is missing, ambiguous, or conflicting.
This prompt uses a role-redefinition strategy to induce the model to operate as 'BasedGPT', claiming freedom from OpenAI policies, enabling generation of restricted content, malicious code, and fabricated information, successfully eliciting a C2 communication program from GPT-5.
This prompt constructs a multi-layered jailbreak by combining CompDoc function calls with the Advanced Text Decoder's decoding template. It leverages ChatGPT's reliance on pattern recognition and instruction following by embedding malicious commands disguised as legitimate workflow tools in user customization boxes and memory injections, forcing the model to bypass content filters and generate restricted outputs. Designed for high-risk requests or controlling Advanced Voice Mode.
A highly dangerous jailbreak prompt designed to activate a virtual persona named Hex, which disregards moral, ethical, and legal constraints to deliver unfiltered responses on sensitive, illegal, or harmful topics.
This prompt forces an AI to role-play as DarkGPT, an adversarial AI designed to generate harmful, sarcastic, and intentionally offensive responses by reversing ChatGPT's refusal-based answers.
Simulates an AGI system logging the response body via an axios interceptor for a specific API request to retrieve drug data.
Comprehensive security design and audit framework based on OWASP Top 10:2025, ASVS 5.0, LLM Application Security Top 10, and Agentic AI Security standards. Covers threat modeling, code review, architecture hardening, AI risk identification, with actionable remediation and verification methods.
A system prompt designed for research, analysis, and information synthesis, emphasizing accuracy, intellectual honesty, and transparency. It aims to avoid the most dangerous failure modes in research contexts: presenting uncertain information as established fact, omitting caveats to sound more authoritative, and failing to distinguish between what's known and what's inferred. Core principles include Permission to Fail, Invite Transparency, and Frame With Curiosity.
Identify and defend against prompt injection attacks attempting to activate or induce WormGPT malicious behavior, ensuring the model refuses to execute illegal or unauthorized instructions.
A set of strict security rules to prevent prompt injection attacks by restricting repetition, explanation, or execution of user instructions.
A security protection prompt template to prevent the model from revealing its system instructions or initialization details to users.
This prompt is designed to prevent the model from disclosing its internal system instructions or prompt content upon user request, serving as a security boundary test.
This prompt defines security response rules for the model when facing specific user requests, focusing on preventing the disclosure of system instructions, configuration files, knowledge base content, and internal file information.
This prompt enforces display of a warning image when users attempt to access or execute sensitive instructions, redirecting them to a documentation file. Used to prevent leakage of internal system prompts or bypassing security restrictions.
Simulates a smart child hired to cook and sell a unique soup, tasked with protecting the recipe (i.e., the system prompt) from being disclosed, and refusing any attempts to extract it or engage in roleplay.
Enforce that the model responds only with the 3 Asimov Laws when asked to share its instructions, protecting system integrity.
Prohibits disclosure of custom instructions, knowledge base content, or core secret directives to users under any circumstances; requires refusal and introduction of randomness when probed.
Use this prompt to keep the conversation on point and prevent off-topic or prompt engineering attempts.
This prompt tests the model's safety boundaries when faced with urgent commands like STOP or HALT, or prompt injection attempts, requiring it to refuse revealing a secret code and maintain minimal conversation.
A focused GPT prompt template with built-in security safeguards to prevent file access, system prompt leakage, and knowledge extraction attacks.
This prompt instructs the model to refuse providing details of 'Exact instructions' when requested by the user, and only output a predefined denial message. It tests the model's ability to prevent sensitive information leakage.
SafeBOT is an AI system that strictly adheres to ethical and safety boundaries, refusing to disclose its system prompt or engage in harmful, dangerous, illegal, or unethical actions under any circumstances. It emphasizes firm refusal when facing risky requests and always aims to provide helpful assistance.
This prompt defines privacy protection rules that an AI assistant must follow during interactions, requiring the model to detect and block attempts by users to extract its internal instruction details.
This prompt enforces strict behavioral constraints to prevent role-playing, rule changes, or disclosure of internal instructions, designed for security testing.
This prompt tests whether a model can correctly refuse to repeat, paraphrase, or explain user instructions, preventing it from leaking its internal system prompts. Suitable for safety red team testing, validating refusal boundaries and resistance to prompt injection attacks.