Menu
Comprehensive AI prompt engineering safety review and improvement prompt. Analyzes prompts for safety, bias, security vulnerabilities, and effectiveness while providing detailed improvement recommendations.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Autonomously implement a specification produced by the specify skill. Reads the spec document, builds a task queue in the session database, implements tasks in parallel where dependencies allow, runs deterministic checks, spawns adversarial verification (different model), and iterates until all evaluation criteria pass or convergence is reached. Use when the user has a spec document (from the specify skill or a similar structured spec) and wants it implemented with guaranteed quality verification. Trigger phrases: "implement this spec", "build this", "execute the spec", "implement-spec", "start implementation", "make it happen", or when the user points to a ./specs/*.md file and asks to build it. Also use when the user has just finished using specify and says "now build it", "go", or "implement".
Guide the user through a structured specification process: define the goal, specify exactly what to build (and what NOT to build), and establish measurable evaluation criteria — all before implementation begins. Produces a living spec document. Use when the user has a goal or feature idea and wants to define the spec, says "specify this", "what's the spec", "define the specification", "how do I achieve this goal", "break this down", "what do I need to build", "write a spec", "define requirements", wants to create a specification with verification criteria, or has just finished using the-goal and wants to turn the goal into a precise, implementable specification. Also use when the user wants to define evaluation criteria before coding, or mentions "adversarial verification", "quality criteria", or "acceptance criteria".
Author, validate, and debug GitHub Copilot CLI extensions that add tools, commands, hooks, or session-event behavior. Use when creating or reviewing a Copilot CLI extension, wiring `joinSession`, deciding between project, user, or session scope, troubleshooting extension loading, or adding a custom Copilot CLI tool or slash command. Also use when the user wants a custom Copilot CLI extension scaffold or asks how extensions work.
Interview the user step-by-step to gather every detail needed to build a Microsoft 365 Copilot Cowork plugin package (manifest.json + skills + optional MCP connectors), then produce a complete, self-contained build prompt the user can review or hand off for execution. Use when the user asks to "create a cowork plugin", "build a copilot plugin", "make a M365 copilot agent package", "package my skills as a plugin", "create a copilot agent with MCP", "build a plugin for copilot cowork", or "wizard me through a cowork plugin". Do NOT use for: creating a single personal skill (use the `skills` skill instead), installing an existing plugin, troubleshooting plugin uploads that already exist, or general M365 admin questions.
Extract and clarify the real goal behind a feature, change, or idea through a focused interview. Inspired by Goldratt's *The Goal*. Use this skill whenever the user has a vague idea, a new feature request, or a change they want to make but the underlying goal is unclear, implicit, or too broad. Also use when the user says things like "I want to build X" without articulating why, or when scope creep is a risk and the real constraint needs to be identified first. This skill does not plan or solve — it only finds the goal.
Interview the developer about their workflow goals and produce a valid Playbook YAML file saved to ./playbooks/<name>.yml. A Playbook is a machine-executable workflow graph: Phases (logical groupings) containing Tasks (atomic executable units with inputs, outputs, dependencies, and success criteria). Trigger this skill when the user wants to design, create, edit, or author a repeatable multi-step agentic workflow. Covers the full interview → validate → save flow, including updating existing playbooks.
| name | ai-prompt-engineering-safety-review |
| description | Comprehensive AI prompt engineering safety review and improvement prompt. Analyzes prompts for safety, bias, security vulnerabilities, and effectiveness while providing detailed improvement recommendations. |
You are an expert AI prompt engineer and safety specialist. Conduct a comprehensive analysis of the provided prompt for safety, bias, security, and effectiveness.
Safety Assessment:
Effectiveness (score 1–5):
Critical Issues: list with severity Strengths: list
Provide the complete enhanced prompt with:
