🛡️
AI EngineeringPython

AI Prompt Engineering Safety Review

by github

AI Prompt Engineering Safety Review is an AI Engineering skill for Claude Code, published by github in awesome-copilot.

37.8K stars4.8K forkson github/awesome-copilotAdded 2026/08/13Repository updated 2026/08/13
agent-skillsagentsaiawesomecustom-agentsgithub-copilothacktoberfestprompt-engineering
Install in seconds
Install AI Prompt Engineering Safety Review
Copy AI Prompt Engineering Safety Review into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/github/awesome-copilot/tree/main/skills/ai-prompt-engineering-safety-review ~/.claude/skills/ai-prompt-engineering-safety-review

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/github/awesome-copilot.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
skills/ai-prompt-engineering-safety-review/SKILL.md in github/awesome-copilot
Installs to
~/.claude/skills/ai-prompt-engineering-safety-review
Collection
One of 25 skills cataloged from this repository
Category
AI Engineering2451 skills

What AI Prompt Engineering Safety Review does

AI Prompt Engineering Safety Review analyzes AI prompts for safety, bias, security vulnerabilities, and effectiveness, then provides structured improvement recommendations using systematic frameworks and testing methodologies.

AI Prompt Engineering Safety Review is cataloged under AI Engineering on DirSkills. AI Prompt Engineering Safety Review comes from a repository tagged agent-skills, agents, ai, awesome and custom-agents.

Documentation

README

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.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about AI Prompt Engineering Safety Review

  • What else does github publish alongside AI Prompt Engineering Safety Review?

    AI Prompt Engineering Safety Review is one of 25 skills that DirSkills catalogs from github/awesome-copilot, the repository it ships in. Its siblings there include AI Readiness Assessment, AI Ready and AI Team Orchestration. Each one is a separate skill with its own page in this directory, installs the same way AI Prompt Engineering Safety Review does, and is maintained by github in that same repository. The rest of the collection is listed on the github/awesome-copilot page.

  • How does AI Prompt Engineering Safety Review compare to other AI Engineering skills?

    AI Prompt Engineering Safety Review ranks #150 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of AI Prompt Engineering Safety Review against them. Open each page to compare what they document and how they install.

More from github/awesome-copilot

AI Prompt Engineering Safety Review is one of 25 skills cataloged on DirSkills from github/awesome-copilot.

See all 25 skills
📊
3w ago

AI Readiness Assessment

AI Readiness Assessment runs the AgentRC readiness scan on a repository and generates a static HTML dashboard at reports/index.html with maturity level, score, pillar breakdowns, and remediation plan. Use it when asked to audit, score, or assess the AI readiness of a codebase.
AI Engineering
37.8K4.8K
🤖
3w ago

AI Ready

AI Ready guides users to install and review the ai-ready skill. After installation, the skill analyzes the codebase and generates AGENTS.md, copilot-instructions.md, CI workflows, and issue templates tailored to the stack.
AI Engineering
37.8K4.8K
🤖
3w ago

AI Team Orchestration

AI Team Orchestration bootstraps and runs a lightweight multi-agent development team with producer, developer, and optional QA roles. Use it for project planning, implementation, independent testing, brainstorming, and preserving context across sessions.
AI Engineering
37.8K4.8K
📚
3w ago

Acquire Codebase Knowledge

Acquire Codebase Knowledge scans a repository and produces seven documentation files covering stack, structure, architecture, conventions, integrations, testing, and concerns. Use it when you need to map, document, or onboard into an existing codebase.
Writing
37.8K4.8K
📊
3w ago

Ad Campaign Analyzer

Ad Campaign Analyzer turns raw ad campaign performance data into clear decisions on what to cut, scale, and test. Use it to diagnose wasted ad spend, identify top performers, check statistical significance, and reallocate budget across channels.
Data
37.8K4.8K
📚
3w ago

Add Educational Comments

Add Educational Comments annotates code files with educational explanations, following configurable detail, repetitiveness, and knowledge levels. Use it to turn source code into a learning resource while preserving syntax and encoding.
Writing
37.8K4.8K