Profile / Avatar - Early 2000s Internet Cafe Webcam Couple
A prompt for generating a low-resolution, candid webcam photo of a couple in an early 2000s internet cafe, capturing nostalgic aesthetic details.
6194 Curated AI Prompts
Discover curated ChatGPT prompts, AI prompt templates, and prompt engineering examples for coding, writing, RAG, agents, safety, and evaluation workflows.
Editor-curated high-quality prompts
A prompt for generating a low-resolution, candid webcam photo of a couple in an early 2000s internet cafe, capturing nostalgic aesthetic details.
A detailed prompt for generating a photorealistic retro hospital nurse cosplay portrait with specific costume, setting, and lighting instructions.
A prompt for generating a studio photograph featuring a real person alongside their giant 3D Pixar-style cartoon counterpart, matching the reference image's identity and clothing.
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Prompt Library
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.
Design a safety layer for a coding agent that runs autonomously, deciding which actions proceed unsupervised, which are blocked, and how the agent recovers—balancing 'ask every time' vs 'skip all permissions'.
Audit AI-agent systems for a stealthy class of indirect prompt injection where malicious input is disguised as trusted data (security metadata, tool outputs, context structures, identifiers), and harden it with structural isolation and provenance verification.
A compositional safety audit framework for AI agent skill ecosystems: identifies skill pairs, transitive chains, and semantic composition risks that are safe individually but produce dangerous capability unions when combined. Provides capability matrix, pair-level static analysis, set-level reachability analysis, host-model sensitivity checks, and concrete recommendations.
Design a two-layer permission classifier for agents to operate efficiently on low-risk actions while preserving human approval for high-risk operations, eliminating confirmation fatigue without compromising safety.
Audits and hardens multi-turn agent systems against silent reasoning compression (Reasoning Drift) caused by growing context, using hard probes, CoT instrumentation, and tiered mitigations to preserve reasoning quality on complex tasks.
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.
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.
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