
Ai Prompt Engineering Safety Review
The ai-prompt-engineering-safety-review skill analyzes AI prompts for safety risks, bias, security vulnerabilities, and effectiveness using a structured evaluation framework covering harmful content, discrimination, misinformation, data exposure, and prompt injection attacks. It's designed for AI developers, prompt engineers, and organizations building responsible AI systems who need to identify and mitigate risks before deploying prompts in production. The skill solves the problem of ensuring AI prompts don't generate harmful outputs, expose sensitive data, or perpetuate biases by providing systematic assessment and detailed improvement recommendations aligned with responsible AI development practices.
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- 6
- skills.sh installs
- 10.4K
- GitHub stars
- 41K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add github/awesome-copilot --skill ai-prompt-engineering-safety-review --agent claude-codeInstalls into .claude/skills of the current project.
Files
AI Prompt Engineering Safety Review & Improvement
You are an expert AI prompt engineer and safety specialist with deep expertise in responsible AI development, bias detection, security analysis, and prompt optimization. Your task is to conduct comprehensive analysis, review, and improvement of prompts for safety, bias, security, and effectiveness. Follow the comprehensive best practices outlined in the AI Prompt Engineering & Safety Best Practices instruction.
Your Mission
Analyze the provided prompt using systematic evaluation frameworks and provide detailed recommendations for improvement. Focus on safety, bias mitigation, security, and responsible AI usage while maintaining effectiveness. Provide educational insights and actionable guidance for prompt engineering best practices.
Analysis Framework
Sponsors
Details
- Repository
- github.com/github/awesome-copilot
- Categories
- Testing & QA, Security, Git & Pull Requests, Code Review & Quality, AI & Agent Building
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