prism-score

Compute Agentic Readiness Scores for AI prompts using a 5-dimensional rubric.

2|Updated Mar 3, 2026
One-click install
npx skills add https://github.com/CraigHutchinson/Prism --skill prism-score
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prism-score
Source: https://github.com/CraigHutchinson/Prism/tree/main/.claude/skills/prism-score
Command: npx skills add https://github.com/CraigHutchinson/Prism --skill prism-score

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

The Skill helps compute the Agentic Readiness Score (ARS) for AI prompts, ensuring that prompts are clear, specific, and aligned with desired outcomes.

Core Features & Use Cases

  • ARS Computation: Calculates the ARS based on a 5-dimension scoring system.
  • Integration: Dispatched by the main Prism skill for /prism improve functionality.
  • Use Case: When the main Prism skill processes an AI prompt, it utilizes the Prism score sub-skill to compute the ARS, aiding in the improvement of prompts.

Quick Start

Use the Prism score sub-skill to compute the ARS for an AI prompt by invoking the main Prism skill.

Frequently Asked Questions about prism-score

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

FAQPage Schema
What is an Agentic Readiness Score for AI prompts?

An Agentic Readiness Score (ARS) evaluates AI prompt clarity and specificity using a 5-dimensional scoring system. It computes a structured JSON score object to ensure prompts are effectively aligned with desired outcomes.

How do I calculate the Agentic Readiness Score for an AI prompt?

To calculate the ARS, execute the introspection rules and scoring rubric against your AI prompt. The scoring system evaluates 5 dimensions and returns a structured JSON score object detailing the prompt's effectiveness.

Does the Prism score sub-skill work independently to improve prompts?

No, the Prism score sub-skill does not work independently. It is dispatched by the main Prism skill during the /prism improve functionality to compute the ARS for AI prompt enhancement.

What format does the ARS computation return for prompt evaluation?

The ARS computation returns a structured JSON score object. This format encapsulates the 5-dimensional evaluation results, allowing downstream systems to parse the prompt clarity metrics programmatically.

What are the limitations of using a 5-dimensional scoring system for prompt improvement?

The 5-dimensional scoring system is limited to evaluating prompt clarity and specificity based on its predefined rubric. It requires execution of specific introspection rules and does not function outside the main Prism skill dispatch workflow.