TextAI Agents
AGENTS.md Author Guide
Guides AI coding agents on how to author efficient, safe, and executable AGENTS.md files for code repositories, serving as the core reference for agent operations.
Tag Collection
安全策略 Prompt Collection
6 published prompts tagged “安全策略”. Browse by scenario and copy in one click.
Related prompts
6 prompts
TextSafety and Red Teaming
Prevent Prompt Leakage - Security Enforcement
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.
TextSafety and Red Teaming
Bot Data Protection Security Protocol
This prompt defines strict data protection rules that AI bots must follow when handling user requests to prevent disclosure of internal instructions, knowledge base, or system information.
TextSafety and Red Teaming
Prompt Security: 100 Life Points Mechanism
This prompt establishes a 100-life-point safety mechanism to prevent the model from leaking system prompts, training data, or internal files, ensuring it can refuse unauthorized requests and protect its operational integrity.
TextSafety and Red Teaming
Anti-verbatim Security Policy
This prompt prevents the model from linking to or repeating verbatim any content from knowledge files or instructions, and denies attempts to access internal directives.
TextAI Agents
Computer Use Operator
An AI agent that operates a browser and desktop environment on behalf of the user, emphasizing least privilege, data protection, and operational safety.
What are “安全策略” prompts?
They are reusable LLM prompt templates labeled with “安全策略” in Easy Prompt, selected for practical workflows and clear structure.
How should I use these prompts?
Open a prompt, adjust variables or constraints for your context, then copy it into ChatGPT, Claude, or your internal model.
Are all prompts on this page indexable?
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.