chore(release): 2.12.0 [skip ci]

# [2.12.0](v2.11.1...v2.12.0) (2025-12-04)

### Features

* automate PyPI publishing with trusted publishing (OIDC) ([#154](#154)) ([71f4632](71f4632)), closes [pypa/#action-pypi-publish](https://github.com/ambient-code/agentready/issues/action-pypi-publish)

Author: semantic-release-bot

CHANGELOG.md

@@ -1,3 +1,10 @@
+# [2.12.0](https://github.com/ambient-code/agentready/compare/v2.11.1...v2.12.0) (2025-12-04)
+
+
+### Features
+
+* automate PyPI publishing with trusted publishing (OIDC) ([#154](https://github.com/ambient-code/agentready/issues/154)) ([71f4632](https://github.com/ambient-code/agentready/commit/71f4632cb188d8c9db377c9f216c047e20727f99)), closes [pypa/#action-pypi-publish](https://github.com/ambient-code/agentready/issues/action-pypi-publish)
+
 ## [2.11.1](https://github.com/ambient-code/agentready/compare/v2.11.0...v2.11.1) (2025-12-04)
 
 

CLAUDE.md

@@ -10,7 +10,7 @@
 
 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.
 
-**Current Status**: v2.11.1 - Core assessment engine complete, most essential assessors implemented, LLM-powered learning, research report management
+**Current Status**: v2.12.0 - Core assessment engine complete, most essential assessors implemented, LLM-powered learning, research report management
 
 **Self-Assessment Score**: 80.0/100 (Gold) - See `examples/self-assessment/`
 
@@ -391,5 +391,5 @@ Use the @agent-github-pages-docs to [action] based on:
 ---
 
 **Last Updated**: 2025-12-04 by Jeremy Eder
-**AgentReady Version**: 2.11.1
+**AgentReady Version**: 2.12.0
 **Self-Assessment**: 80.0/100 (Gold) ✨

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "agentready"
-version = "2.11.1"
+version = "2.12.0"
 description = "Assess and bootstrap git repositories for AI-assisted development with automated remediation and continuous learning"
 authors = [{name = "Jeremy Eder", email = "[email protected]"}]
 readme = "README.md"