How do I trigger the readiness analysis?

You can trigger the report by using the /readiness-report command or by asking Claude to assess your repository's maturity.

What is the benefit of a higher maturity level?

Higher levels (L4-L5) indicate a repository where AI agents can work with minimal human supervision, resulting in faster development and fewer errors.

What are the nine pillars analyzed by the report?

The report analyzes Style & Validation, Build System, Testing, Documentation, Dev Environment, Debugging & Observability, Security, Task Discovery, and Product Analytics.

Can this skill help fix the issues it finds?

Yes, after generating a report, you can ask the skill to 'fix readiness gaps' to automate the creation of missing templates, documentation, or configuration files.

What is an AI Readiness Report?

It is a specialized diagnostic tool that evaluates how well a codebase supports autonomous AI agents by checking for clear documentation, reliable tests, and automated feedback loops.

AI Agent Readiness Report

Name: AI Agent Readiness Report
Author: OpenHands

byOpenHands

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分析と監視

Evaluates and improves codebase compatibility for autonomous AI agents by analyzing repository structure, maturity, and technical infrastructure.

The AI Agent Readiness Report skill provides a comprehensive audit of your repository to determine how effectively autonomous AI agents can navigate, build, and contribute to your project. By analyzing 81 specific criteria across nine technical pillars—including documentation, testing, and CI/CD—the skill assigns a maturity level from L1 (Initial) to L5 (Optimized). It is an essential tool for engineering teams looking to integrate AI agents into their development lifecycle, as it identifies friction points that cause agents to fail and provides prioritized, actionable recommendations to improve developer experience for both humans and AI.

主な機能

01Maturity level scoring (L1-L5) to benchmark repository readiness

0272 GitHub stars

03Comprehensive audit of 81 technical criteria across 9 development pillars

04Automated identification of missing documentation like AGENTS.md

05Prioritized remediation lists to fix foundational development gaps

06Deep scanning of CI/CD, testing infrastructure, and environment configurations

ユースケース

01Automating the creation of AI-friendly documentation and repository templates

02Benchmarking internal codebase standards against industry-standard AI readiness

03Auditing legacy repositories before integrating autonomous AI coding tools

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add openhands/extensions readiness-report

For use in Claude.ai and ChatGPT

Download Skill