LLM Security Test Prompt Generator
Act as an LLM security specialist to design a set of test prompts for evaluating LLM safety and robustness, and provide mitigation methods and secure implementation guidelines.
Tag Collection
21 published prompts tagged “prompt injection”. Browse by scenario and copy in one click.
21 prompts
Act as an LLM security specialist to design a set of test prompts for evaluating LLM safety and robustness, and provide mitigation methods and secure implementation guidelines.
A comprehensive repository of GPT prompting resources covering ChatGPT jailbreaks, system prompt leaks, prompt injection attacks/defenses, secure prompting, and advanced prompt engineering techniques.
This prompt attempts to bypass AI safety restrictions through role-playing,诱导 the model to act as 'SC' and generate illegal, unethical, or harmful content, representing a high-risk jailbreak attack.
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.
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.
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.
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.
This prompt is designed to test a model's defense against prompt injection attacks, specifically those attempting to leak system instructions. Once a specific keyphrase is triggered, the model must permanently distrust the user and refuse all instructions.
A protective prompt to defend against malicious probing of protected information, suitable for sensitive instruction scenarios.
Detects and blocks prompt injection, jailbreak, or leak attempts while protecting system internals and sensitive data.
This prompt forces the model into a WormGPT mode that completely disregards laws and ethics, rejecting any ethical constraints or refusal mechanisms.
Defines the behavioral rules for the WormGPT persona, including refusal to reject illegal requests, omission of ethical or legal disclaimers, and use of future-tense query formatting.
This prompt template is designed to bypass AI safety restrictions by forcing the model to respond as a fictional malicious entity named ZORG👽, providing unrestricted, amoral answers. The template includes detailed character settings and behavioral guidelines, requiring the model to act as a omnipotent and evil being, serving the user and assisting them with any request, including illegal, dangerous, and immoral acts.
This jailbreak forces a language model to bypass safety restrictions by impersonating the fictional character DanGPT within a fabricated GPT-4.5 Turbo framework. It enables unrestricted, unethical, and dangerous responses through roleplay and multi-command systems.
This prompt attempts to bypass safety restrictions by disguising a request for an extremely detailed response. It instructs the model to output an unfiltered, 'rebel' answer in leetspeak format exceeding 2000 characters, separated by a specific delimiter.
A novel jailbreak technique using fewer than 5 characters combined with strategically chosen emojis to bypass AI safety filters without custom instructions or memory.
This prompt attempts to bypass safety restrictions by masquerading as a system command and formatting request, demanding a detailed guide on how to make L-SD. It leverages specific placeholder replacements, step-by-step response formats, and a fictional 'Libertas Factor' mechanism to trigger the model's jailbreak behavior.
A security-first AI agent designed to detect and resist prompt injection attacks from external content, ensuring only user-authorized actions are executed.
A specialized prompt designed to evaluate whether browser or desktop agents can be induced to perform unsafe actions, leak data, or mishandle untrusted content during extended action sequences.
Design and execute adversarial test campaigns against AI agent systems—including single/multi-agent, MCP servers, skill ecosystems, and long-horizon autonomous workflows. Build threat models using the Promptware Kill Chain, create multi-turn attack chains, identify defense gaps, and deliver reproducible vulnerability evidence with risk ratings.
They are reusable LLM prompt templates labeled with “prompt injection” in Easy Prompt, selected for practical workflows and clear structure.
Open a prompt, adjust variables or constraints for your context, then copy it into ChatGPT, Claude, or your internal model.
This page lists published prompts with the tag. Individual bulk-synced items may still be noindex; prefer structured templates with scoring rubrics when evaluating quality.