chore(release): 2.9.0 [skip ci]

# [2.9.0](v2.8.1...v2.9.0) (2025-12-03)

### Features

* Community Leaderboard for AgentReady Scores ([#146](#146)) ([fea0b3e](fea0b3e))

Author: semantic-release-bot

CHANGELOG.md

@@ -1,3 +1,10 @@
+# [2.9.0](https://github.com/ambient-code/agentready/compare/v2.8.1...v2.9.0) (2025-12-03)
+
+
+### Features
+
+* Community Leaderboard for AgentReady Scores ([#146](https://github.com/ambient-code/agentready/issues/146)) ([fea0b3e](https://github.com/ambient-code/agentready/commit/fea0b3e055372bfe5810b8b45c9612522093d553))
+
 ## [2.8.1](https://github.com/ambient-code/agentready/compare/v2.8.0...v2.8.1) (2025-11-25)
 
 

CLAUDE.md

@@ -2,15 +2,15 @@
 
 **Purpose**: Assess repositories against agent-ready best practices and generate actionable reports.
 
-**Last Updated**: 2025-11-25
+**Last Updated**: 2025-12-03
 
 ---
 
 ## Overview
 
 AgentReady is a Python CLI tool that evaluates repositories against 25 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.
 
-**Current Status**: v2.8.1 - Core assessment engine complete, 22/31 attributes implemented (9 stubs), LLM-powered learning, research report management
+**Current Status**: v2.9.0 - Core assessment engine complete, 22/31 attributes implemented (9 stubs), LLM-powered learning, research report management
 
 **Self-Assessment Score**: 80.0/100 (Gold) - See `examples/self-assessment/`
 
@@ -696,6 +696,6 @@ Use the @agent-github-pages-docs to revise all documentation in docs/ based on:
 
 ---
 
-**Last Updated**: 2025-11-25 by Jeremy Eder
-**AgentReady Version**: 2.8.1
+**Last Updated**: 2025-12-03 by Jeremy Eder
+**AgentReady Version**: 2.9.0
 **Self-Assessment**: 80.0/100 (Gold) ✨

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "agentready"
-version = "2.8.1"
+version = "2.9.0"
 description = "Assess and bootstrap git repositories for AI-assisted development with automated remediation and continuous learning"
 authors = [{name = "Jeremy Eder", email = "jeder@redhat.com"}]
 readme = "README.md"