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chore(release): 2.29.3 [skip ci]
## [2.29.3](v2.29.2...v2.29.3) (2026-02-24) ### Bug Fixes * **schema:** allow assessments with excluded attributes ([#312](#312)) ([81b999f](81b999f)), closes [#301](#301) [#309](#309) [#309](#309)
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CHANGELOG.md

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## [2.29.3](https://github.com/ambient-code/agentready/compare/v2.29.2...v2.29.3) (2026-02-24)
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### Bug Fixes
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* **schema:** allow assessments with excluded attributes ([#312](https://github.com/ambient-code/agentready/issues/312)) ([81b999f](https://github.com/ambient-code/agentready/commit/81b999fb35ff3ddbd799315e714c09582b284024)), closes [#301](https://github.com/ambient-code/agentready/issues/301) [#309](https://github.com/ambient-code/agentready/issues/309) [#309](https://github.com/ambient-code/agentready/issues/309)
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## [2.29.2](https://github.com/ambient-code/agentready/compare/v2.29.1...v2.29.2) (2026-02-23)
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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**: 2026-02-23
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**Last Updated**: 2026-02-24
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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**: v2.29.2 - Core assessment engine complete, most essential assessors implemented, LLM-powered learning, research report management
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**Current Status**: v2.29.3 - 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**: 2026-02-23 by Jeremy Eder
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**AgentReady Version**: 2.29.2
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**Last Updated**: 2026-02-24 by Jeremy Eder
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**AgentReady Version**: 2.29.3
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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 = "2.29.2"
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version = "2.29.3"
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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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