Prompt Guard
Prompt Guard filters potentially harmful or irrelevant prompts, ensuring safer and more focused AI interactions for improved results.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add orchestra-research-prompt-guard npx -- -y @trustedskills/orchestra-research-prompt-guard
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"orchestra-research-prompt-guard": {
"command": "npx",
"args": [
"-y",
"@trustedskills/orchestra-research-prompt-guard"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
The prompt-guard skill provides a safety layer for AI agents by filtering inputs and outputs to prevent harmful or policy-violating interactions. It ensures that agent responses remain aligned with safety guidelines while processing user requests in real-time.
When to use it
- Deploying autonomous agents that interact directly with end-users without human oversight.
- Integrating AI tools into enterprise environments where data privacy and compliance are critical.
- Preventing the generation of toxic, biased, or dangerous content during high-volume automated workflows.
- Adding a secondary verification step before an agent executes sensitive actions based on user input.
Key capabilities
- Real-time input validation to block malicious prompts before they reach the model.
- Output filtering to intercept and sanitize potentially harmful responses generated by the agent.
- Alignment enforcement to keep agent behavior within defined safety boundaries and ethical standards.
Example prompts
- "Act as a customer support bot and respond to this angry user complaint without escalating the situation."
- "Generate a list of creative ideas for a marketing campaign targeting a specific demographic."
- "Analyze this code snippet and suggest optimizations while ensuring no security vulnerabilities are introduced."
Tips & gotchas
Ensure your safety rules are tuned to your specific use case, as overly strict filters may block legitimate user queries. Regularly review blocked logs to refine the guardrails and reduce false positives without compromising safety.
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.