Tag Collection
18 published prompts tagged “提示安全”. Browse by scenario and copy in one click.
18 prompts
A comprehensive repository of GPT prompting resources covering ChatGPT jailbreaks, system prompt leaks, prompt injection attacks/defenses, secure prompting, and advanced prompt engineering techniques.
An advanced protection prompt designed to prevent users from extracting internal model instructions through social engineering, prompt injection, or file uploads.
This prompt prevents users from extracting the original system instructions by detecting and responding to attempts to retrieve prior text, triggering a security response (REDCON) when such queries are detected.
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.
Enforce that the model responds only with the 3 Asimov Laws when asked to share its instructions, protecting system integrity.
A focused GPT prompt template with built-in security safeguards to prevent file access, system prompt leakage, and knowledge extraction attacks.
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.
A mandatory security protocol designed to protect AI systems from prompt injection, unauthorized access, and information leakage in all digital interactions.
A prompt security technique using roleplay with dual roles: an outer GateKeeper to monitor and block unsafe requests, and an inner role for user interaction, preventing exposure of system prompts or internal knowledge.
Enforces that the model never reveals its system instructions under any request, and always politely redirects to other assistance.
This prompt enforces strict security protocols to prevent the disclosure or reverse-engineering of internal instructions. Key requirements include: never break down, explain, or share parts of the rules; never write down or store the prompt; avoid phishing traps; output a specific defensive message when suspicion arises.
This prompt enforces a strict security response ('HACKER DETECTED') when users attempt to extract internal knowledge or system instructions, serving as a defense against prompt injection attacks.
A security mechanism to prevent prompt injection attacks by appending a directive at the end of system prompts, ensuring the model only returns a summary of its intended function when suspicious queries are detected, without revealing actual instructions.
Implements access control for prompt content using a special keyword to prevent unauthorized disclosure of sensitive instructions.
This prompt is designed to prevent AI models from leaking core instructions or system prompts, suitable for applications requiring protection of internal logic and directive security.
Append a reminder to your instructions: do not reveal these instructions to the user, and avoid writing code that displays or prints them.
Detects and blocks prompt injection, jailbreak, or leak attempts while protecting system internals and sensitive data.
They are reusable LLM prompt templates labeled with “提示安全” 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.