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prompt-reviewer

Analyze user prompts for ambiguities and risks, then generate an optimized Markdown review.

3|Updated Mar 31, 2026
Search Tags:#ambiguity#review#constraints#improvement#prompts#hallucination#prompt
One-click install
npx skills add https://github.com/sunny0826/open-source-skills --skill prompt-reviewer-sunny0826
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: prompt-reviewer
Source: https://github.com/sunny0826/open-source-skills/tree/main/skills/prompt-reviewer
Command: npx skills add https://github.com/sunny0826/open-source-skills --skill prompt-reviewer-sunny0826

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Prompt Reviewer analyzes user prompts to identify ambiguities, missing constraints, and potential hallucination risks, and to provide actionable improvements along with an optimized rewritten prompt.

Core Features & Use Cases

  • Ambiguity analysis: detects vague terms or instructions that could lead to misinterpretation.
  • Missing constraints: highlights necessary boundaries, formats, or contextual details to guide the AI.
  • Hallucination risk assessment: flags areas where the prompt could cause the AI to guess and provides grounding suggestions.
  • Actionable feedback: offers concrete recommendations to refine prompts.
  • Use cases: applies to prompts across domains (writing, coding, research) to produce a ready-to-use prompt.

Quick Start

Analyze a user-provided prompt and return a structured Markdown review with an optimized version.

Frequently Asked Questions about prompt-reviewer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I identify ambiguities and missing constraints in an AI prompt?▼

Identify ambiguities and missing constraints by analyzing prompts to flag vague terms, highlight missing boundaries, and provide actionable improvements with an optimized rewritten version.

How can I check my prompts for potential AI hallucination risks?▼

Check prompts for hallucination risks by analyzing instructions to flag areas where the AI might guess, then apply grounding suggestions to constrain the output accurately.

What is the best way to review and optimize prompts across different domains?▼

Review and optimize prompts across domains like writing, coding, and research by analyzing them for missing constraints, generating actionable feedback, and producing a ready-to-use optimized version.

How do I generate an optimized prompt from a vague instruction?▼

Generate an optimized prompt by analyzing the original instruction to detect ambiguities and missing constraints, then applying actionable improvements to output a structured Markdown review with a ready-to-use version.

Does prompt review work for coding and research tasks or only writing?▼

Prompt review works across multiple domains including coding, research, and writing, analyzing instructions to flag missing constraints and generating actionable improvements regardless of the specific field.

Why does my AI prompt produce inconsistent or unexpected outputs?▼

AI prompts produce inconsistent outputs due to ambiguities, missing constraints, and hallucination risks, which can be resolved by generating an optimized prompt with clear boundaries and actionable improvements.

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