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# [2.25.0](v2.24.1...v2.25.0) (2026-02-04) ### Features * add dgutride/odh-dashboard to leaderboard ([#268](#268)) ([f4911b2](f4911b2))
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CHANGELOG.md

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# [2.25.0](https://github.com/ambient-code/agentready/compare/v2.24.1...v2.25.0) (2026-02-04)
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### Features
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* add dgutride/odh-dashboard to leaderboard ([#268](https://github.com/ambient-code/agentready/issues/268)) ([f4911b2](https://github.com/ambient-code/agentready/commit/f4911b241e8e4f75ff05a96ee1d0a09d62b34508))
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## [2.24.1](https://github.com/ambient-code/agentready/compare/v2.24.0...v2.24.1) (2026-01-30)
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CLAUDE.md

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**Purpose**: Assess repositories against agent-ready best practices and generate actionable reports.
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**Last Updated**: 2026-01-30
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**Last Updated**: 2026-02-04
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---
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## Overview
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AgentReady is a Python CLI tool that evaluates repositories against a comprehensive set of carefully researched attributes that make codebases more effective for AI-assisted development. It generates interactive HTML reports, version-control friendly Markdown reports, and machine-readable JSON output.
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**Current Status**: v2.24.1 - Core assessment engine complete, most essential assessors implemented, LLM-powered learning, research report management
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**Current Status**: v2.25.0 - Core assessment engine complete, most essential assessors implemented, LLM-powered learning, research report management
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**Self-Assessment Score**: 80.0/100 (Gold) - See `examples/self-assessment/`
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**Last Updated**: 2026-01-30 by Jeremy Eder
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**AgentReady Version**: 2.24.1
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**Last Updated**: 2026-02-04 by Jeremy Eder
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**AgentReady Version**: 2.25.0
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**Self-Assessment**: 80.0/100 (Gold) ✨
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### GitHub Actions Guidelines

pyproject.toml

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[project]
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name = "agentready"
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version = "2.24.1"
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version = "2.25.0"
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description = "Assess and bootstrap git repositories for AI-assisted development with automated remediation and continuous learning"
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authors = [{name = "Jeremy Eder", email = "jeder@redhat.com"}]
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readme = "README.md"

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