verify-prompt

Compare original and distilled prompts to verify lossless distillation.

1|Updated Jan 31, 2026
One-click install
npx skills add https://github.com/charly-vibes/wai --skill verify-prompt
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: verify-prompt
Source: https://github.com/charly-vibes/wai/tree/main/.agents/skills/verify-prompt
Command: npx skills add https://github.com/charly-vibes/wai --skill verify-prompt

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill ensures that concise prompts used for LLMs accurately and completely reflect the original, more verbose prompts intended for developers, preventing loss of critical instructions or meaning.

Core Features & Use Cases

  • Prompt Comparison: Compares an original prompt against its distilled version.
  • Verification: Checks for completeness, accuracy, and appropriate conciseness in the distilled prompt.
  • Use Case: After a prompt engineer refines a complex prompt for an AI model, this Skill can be used to automatically verify that no essential instructions were accidentally removed or altered during the distillation process.

Quick Start

Use the verify-prompt skill to compare the original and distilled versions of the summarization prompt.

Frequently Asked Questions about verify-prompt

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

FAQPage Schema
How do I verify prompt distillation accuracy for LLM instructions?

To verify prompt distillation accuracy, compare the original verbose prompt against the distilled concise version to ensure all essential executable instructions, steps, and constraints are preserved without altering meaning.

What is prompt distillation and when do I need to check it?

Prompt distillation is refining a complex developer prompt into a concise version. You check it to prevent the loss of critical instructions or meaning when preparing prompts for LLMs.

How do I check if my concise prompt lost any original constraints?

To check for lost constraints, analyze the completeness, accuracy, and conciseness of the distilled prompt against the original to confirm no essential instructions were accidentally removed.

Do I need any specific frameworks to compare original and distilled prompts?

No specific frameworks are required. You can compare original and distilled prompts directly without dependencies, analyzing the refined version's faithful and lossless representation of the original text.

What is the best way to ensure a refined AI prompt remains faithful to the original?

The best way to ensure a refined AI prompt remains faithful is to automatically verify the distillation process preserved all essential rules and executable instructions while maintaining appropriate conciseness.