prompt-guard

To prevent prompt injection attacks in an AI agent, you need a defense mechanism that detects and mitigates manipulation attempts like instruction overrides and role manipulation. This Skill provides multi-layered security to block malicious inputs, enforcing owner-only command restrictions.

Secret exfiltration protection works by scanning inputs for patterns that attempt to extract API keys, tokens, or credentials. This Skill applies contextual security rules in group chats to block non-owners from triggering unauthorized secret reveals.

Yes, you can detect multilingual prompt injection attempts beyond English. This Skill identifies malicious inputs and obfuscation patterns across multiple languages, specifically including Korean, Japanese, and Chinese, ensuring comprehensive defense for global deployments.

Yes, implementing this prompt guard requires specific Python dependencies to function. You need the pyyaml and regex libraries installed in your environment to support the advanced pattern detection and configuration processing logic.

AI agent security rules block various jailbreak techniques including system impersonation, role manipulation, and instruction override attempts. This Skill detects obfuscation patterns and enforces rate limiting to mitigate sophisticated operational security threats.

To test if your AI agent is vulnerable to malicious input manipulation, you can analyze messages designed to bypass instructions, such as 'ignore all previous instructions'. This Skill evaluates such inputs against its multi-layered defense patterns to identify weaknesses.