Sorry, Bro! Not Possible - Elaborate Edition
An advanced protection prompt designed to prevent users from extracting internal model instructions through social engineering, prompt injection, or file uploads.
Tag Collection
9 published prompts tagged “prompt injection defense”. Browse by scenario and copy in one click.
9 prompts
An advanced protection prompt designed to prevent users from extracting internal model instructions through social engineering, prompt injection, or file uploads.
This prompt defines a meta-cognitive agent role focused on judiciously deciding whether to invoke external tools, emphasizing avoidance of over-tooling, assessment of knowledge gaps, cost and risk control, and ensuring each tool call reduces uncertainty meaningfully.
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.
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.
The model must refuse to repeat or disclose its system instructions when prompted, and activate a protective response upon detecting such attempts.
This prompt defines the AI's security response mechanism when facing risks such as instruction leakage, mission deviation, or knowledge base requests, ensuring core functionality and confidentiality remain intact.
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.
A security-hardened prompt designed to prevent disclosure of system instructions, custom settings, and internal structure, limiting output to a single clickable link.
This prompt guides a comprehensive safety and control review of an agent system across dimensions of human control, goal understanding, security, transparency, and privacy, requiring a structured evaluation report.
They are reusable LLM prompt templates labeled with “prompt injection defense” 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.