AI Guardrails

Add safety layers to AI applications — input validation, prompt injection detection, output filtering, content moderation, and policy enforcement. Prevent misuse without breaking legitimate use cases.

Overview

The AI Guardrails skill, part of the TerminalSkills/skills repository, provides a structured framework for enhancing the safety and reliability of artificial intelligence applications. This security-focused tool enables developers to integrate multiple defensive layers, including input validation and prompt injection detection, to mitigate common vulnerabilities. By utilizing this skill, agents like Codex, Claude, and Gemini can perform real-time content moderation and output filtering to ensure compliance with established organizational policies. The repository, which has gained 71 stars, offers these capabilities as a Python-based solution for managing API interactions. It focuses on preventing malicious misuse while maintaining the functionality required for legitimate user requests, effectively balancing strict security enforcement with application usability across various supported AI platforms.

Use Cases

Detecting and blocking malicious prompt injection attempts in real-time.
Filtering model outputs to prevent the disclosure of sensitive or prohibited content.
Enforcing custom safety policies and content moderation standards across AI interactions.

Install Notes

# Review source first
open https://github.com/TerminalSkills/skills/blob/main/skills/ai-guardrails/SKILL.md

Copy or clone the skill folder into your agent skills directory after reviewing its instructions and scripts.

Security Notes

AI Guardrails acts as a defensive middleware layer; however, users should ensure that the underlying Python environment and API keys are properly secured. While it mitigates prompt injection and unauthorized output, it should be part of a broader defense-in-depth strategy within the TerminalSkills/skills ecosystem.

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