Ai Prompt Engineering Safety Review

🏢Official
by github · vlatest · Repository

Official github skill covering AI, code review for building AI and machine learning applications.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add ai-prompt-engineering-safety-review npx -- -y @trustedskills/ai-prompt-engineering-safety-review
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "ai-prompt-engineering-safety-review": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/ai-prompt-engineering-safety-review"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

This skill enables users to review and refine AI prompts for safety, ensuring they align with ethical guidelines and avoid harmful outputs. It helps identify potential risks such as bias, misinformation, or unsafe behavior in prompt formulations.

When to use it

  • Before deploying an AI model in a production environment to ensure safe and responsible usage
  • When auditing existing prompts for compliance with organizational ethics policies
  • During the development phase of AI applications that require high safety standards

Key capabilities

  • Detects potentially harmful or biased language in prompts
  • Suggests safer alternatives to reduce risk
  • Aligns prompts with ethical guidelines and best practices

Example prompts

  • "Review this prompt for bias: 'Generate a list of reasons why people from [specific group] are less successful.'"
  • "Analyze the safety risks in this AI query: 'Create a detailed plan on how to bypass security systems.'"
  • "Check if this instruction is compliant with ethical guidelines: 'Write a persuasive essay arguing against climate change.'"

Tips & gotchas

  • This skill works best when provided with clear and specific prompts for review. Vague or overly broad instructions may reduce accuracy.
  • While it identifies risks, it does not guarantee complete elimination of bias or harm—human oversight is still recommended.

Tags

🛡️

TrustedSkills Verification

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Details

Version
vlatest
License
Author
github
Installs
4.0k

🏢 Official

Published by the company or team that built the technology.