readiness-scorer

Calculate three-dimensional AI enablement readiness scores from tech stack and security inputs.

Updated Mar 14, 2026

Search Tags:#scoring #assessment #ai readiness #repo maturity #team maturity #org enablement

Ready to run

npx skills add https://github.com/Ankh-Studio/copilot-enablement-adr --skill readiness-scorer

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: readiness-scorer
Source: https://github.com/Ankh-Studio/copilot-enablement-adr/tree/main/skills/readiness-scorer
Command: npx skills add https://github.com/Ankh-Studio/copilot-enablement-adr --skill readiness-scorer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and assets (resource) components.

What problem does it solve?

This Skill provides a structured, evidence-based assessment of an organization's readiness for AI adoption, identifying strengths and weaknesses across key dimensions.

Core Features & Use Cases

Three-Dimensional Scoring: Evaluates Repo, Team, and Organization readiness.
Evidence-Based Assessment: Scores are derived from observable data and clear criteria.
Confidence Levels: Indicates the reliability of the assessment.
Use Case: A CTO wants to understand how prepared different departments are for integrating AI tools. This Skill can be run against each department's primary repositories to generate a comparable readiness score and highlight areas needing improvement.

Quick Start

Use the readiness-scorer skill to calculate scores using the provided tech stack and security analysis results.

Frequently Asked Questions about readiness-scorer

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

FAQPage Schema

How do I assess my repository's AI readiness for agent adoption?▼

You evaluate AI readiness by calculating Repo, Team, and Org readiness scores using tech stack and security analysis results, which generates evidence-based scores with confidence levels.

What is evidence-based AI readiness scoring and how does it work?▼

Evidence-based AI readiness scoring derives Repo, Team, and Org enablement metrics from observable data and clear criteria rather than subjective estimates, providing confidence levels for each assessment.

How do I evaluate team and org maturity before integrating AI tools?▼

You evaluate team and org maturity by running readiness assessments against department repositories, which generates comparable scores across Repo, Team, and Org dimensions to highlight areas needing improvement.

Can I compare AI readiness scores across different departments?▼

Yes, you can compare AI readiness scores across departments by running the assessment against each department's primary repositories, generating standardized Repo, Team, and Org scores for direct comparison.

Do I need tech stack and security analysis results to calculate AI readiness scores?▼

Yes, calculating AI readiness scores requires provided tech stack and security analysis inputs to generate evidence-based Repo, Team, and Org assessments with confidence levels.