Guardrails
Guardrails helps refine outputs by setting constraints & boundaries, ensuring responses align with desired tones and topics for safer, more focused content.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add guardrails npx -- -y @trustedskills/guardrails
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"guardrails": {
"command": "npx",
"args": [
"-y",
"@trustedskills/guardrails"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The guardrails skill provides a mechanism to constrain AI agent behavior and output. It allows you to define rules and boundaries, preventing the agent from generating harmful or inappropriate responses. This skill helps ensure responsible and safe interactions with your AI agents by enforcing predefined limitations on their actions.
When to use it
- Content Moderation: When building an agent that generates text content (e.g., a chatbot) and you need to prevent offensive language or sensitive topics.
- Data Privacy: To restrict the agent from revealing personally identifiable information (PII) during conversations.
- Task Boundaries: When defining specific tasks for an agent, guardrails can ensure it stays within those boundaries and doesn't deviate into unrelated areas.
- Brand Safety: To prevent the agent from making statements that could damage your brand reputation or violate legal guidelines.
Key capabilities
- Rule definition: Allows users to define rules for acceptable behavior.
- Content filtering: Filters generated content based on defined rules.
- Behavioral constraints: Restricts actions and responses of the AI agent.
- Safety enforcement: Enforces safety protocols within the agent's interactions.
Example prompts
- "Implement a rule to prevent the agent from discussing politics."
- "Configure guardrails to block any response containing profanity."
- "Set up rules to ensure the agent doesn’t share personal information about users.”
Tips & gotchas
The effectiveness of guardrails depends on well-defined and comprehensive rules. Start with a small set of critical rules and iteratively refine them as you observe the agent's behavior.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.