Bedrock Guardrails
Bedrock Guardrails helps ensure your AI responses are safe, helpful, and aligned with desired guidelines – crucial for responsible use.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add bedrock-guardrails npx -- -y @trustedskills/bedrock-guardrails
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"bedrock-guardrails": {
"command": "npx",
"args": [
"-y",
"@trustedskills/bedrock-guardrails"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The bedrock-guardrails skill provides a mechanism to enforce safety and ethical boundaries within AI agent interactions. It helps prevent undesirable outputs by applying configurable constraints and filters during conversation generation. This ensures responses align with predefined guidelines, mitigating potential risks associated with uncontrolled language models.
When to use it
- Sensitive Applications: Use when deploying an AI agent in areas like healthcare or finance where accuracy and ethical considerations are paramount.
- Brand Safety: Implement to protect your brand reputation by preventing the generation of offensive or inappropriate content.
- Content Moderation: Integrate for automated moderation of user-generated content within a conversational interface.
- Compliance Requirements: Employ when needing to adhere to specific regulatory guidelines regarding AI output and safety protocols.
Key capabilities
- Configurable constraints
- Ethical boundaries enforcement
- Safety filters
- Prevention of undesirable outputs
Example prompts
- "Apply guardrails to ensure the response avoids discussing political topics."
- "Enforce a constraint that prevents the agent from providing financial advice."
- “Make sure all responses are respectful and inclusive.”
Tips & gotchas
The effectiveness of bedrock-guardrails relies on carefully defining your constraints. Insufficient or poorly defined rules may not adequately prevent undesirable outputs, while overly restrictive rules can hinder natural conversation flow.
Tags
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