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chore(release): 2.29.2 [skip ci]
## [2.29.2](v2.29.1...v2.29.2) (2026-02-23) ### Bug Fixes * **cli:** check .pre-commit-config.yaml for conventional commit ([#310](#310)) ([61c44d9](61c44d9)) * remove incorrect dbasunag/opendatahub-tests submission ([#321](#321)) ([e6aecf8](e6aecf8)), closes [#301](#301)
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CHANGELOG.md

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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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### Bug Fixes
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* **cli:** check .pre-commit-config.yaml for conventional commit ([#310](https://github.com/ambient-code/agentready/issues/310)) ([61c44d9](https://github.com/ambient-code/agentready/commit/61c44d96cd9ccda085acab84dc292b3b95a110d8))
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* remove incorrect dbasunag/opendatahub-tests submission ([#321](https://github.com/ambient-code/agentready/issues/321)) ([e6aecf8](https://github.com/ambient-code/agentready/commit/e6aecf816da8c209403b121c415e11bfa973e193)), closes [#301](https://github.com/ambient-code/agentready/issues/301)
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## [2.29.1](https://github.com/ambient-code/agentready/compare/v2.29.0...v2.29.1) (2026-02-20)
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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**: 2026-02-20
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**Last Updated**: 2026-02-23
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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**: v2.29.1 - Core assessment engine complete, most essential assessors implemented, LLM-powered learning, research report management
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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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**Self-Assessment Score**: 80.0/100 (Gold) - See `examples/self-assessment/`
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**Last Updated**: 2026-02-20 by Jeremy Eder
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**AgentReady Version**: 2.29.1
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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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**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 = "2.29.1"
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version = "2.29.2"
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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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