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chore(release): 2.20.3 [skip ci]
## [2.20.3](v2.20.2...v2.20.3) (2025-12-15) ### Bug Fixes * enable Harbor task filtering for smoketest support ([#222](#222)) ([f780188](f780188))
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CHANGELOG.md

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## [2.20.3](https://github.com/ambient-code/agentready/compare/v2.20.2...v2.20.3) (2025-12-15)
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### Bug Fixes
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* enable Harbor task filtering for smoketest support ([#222](https://github.com/ambient-code/agentready/issues/222)) ([f780188](https://github.com/ambient-code/agentready/commit/f7801884690d72b2e5e7f28145275ae78127e6d0))
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## [2.20.2](https://github.com/ambient-code/agentready/compare/v2.20.1...v2.20.2) (2025-12-12)
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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**: 2025-12-12
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**Last Updated**: 2025-12-15
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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**: v2.20.2 - Core assessment engine complete, most essential assessors implemented, LLM-powered learning, research report management
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**Current Status**: v2.20.3 - 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**: 2025-12-12 by Jeremy Eder
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**AgentReady Version**: 2.20.2
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**Last Updated**: 2025-12-15 by Jeremy Eder
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**AgentReady Version**: 2.20.3
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**Self-Assessment**: 80.0/100 (Gold) ✨

pyproject.toml

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[project]
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name = "agentready"
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version = "2.20.2"
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version = "2.20.3"
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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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