ai-prompt-engineering-safety-review
๐ฏSkillfrom github/awesome-copilot
Reviews AI prompts for safety, bias, security vulnerabilities, and effectiveness with improvement recommendations.
Overview
AI Prompt Engineering Safety Review is a GitHub Copilot skill that performs comprehensive safety analysis of AI prompts. It examines prompts for safety issues, bias, security vulnerabilities, and effectiveness, then provides detailed improvement recommendations backed by extensive frameworks, testing methodologies, and educational content.
Key Features
- Safety and bias analysis: Detects potential safety risks and biases embedded in AI prompts that could lead to harmful or unfair outputs.
- Security vulnerability detection: Identifies prompt injection risks, data leakage vectors, and other security concerns in prompt designs.
- Effectiveness evaluation: Assesses prompt clarity, specificity, and structure to ensure they produce reliable, high-quality AI responses.
- Detailed improvement recommendations: Provides actionable suggestions with supporting frameworks and testing methodologies for prompt refinement.
Who is this for?
This skill is designed for AI engineers, prompt designers, and development teams building AI-powered applications who need to ensure their prompts are safe, unbiased, and secure. It is especially valuable for organizations deploying LLM-based products where prompt quality directly impacts user safety and product reliability.
Same repository
github/awesome-copilot(315 items)
Installation
npx vibeindex add github/awesome-copilot --skill ai-prompt-engineering-safety-reviewnpx skills add github/awesome-copilot --skill ai-prompt-engineering-safety-review~/.claude/skills/ai-prompt-engineering-safety-review/SKILL.mdSKILL.md
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