chore(release): 2.1.0 [skip ci]

# [2.1.0](v2.0.0...v2.1.0) (2025-11-24)

### Features

* Phase 1 Task 1 - Consolidate Security Validation Patterns ([#129](#129)) ([8580c45](8580c45)), closes [#122](#122) [#122](#122) [#122](#122) [#122](#122) [#122](#122) [#122](#122)

Author: semantic-release-bot

CHANGELOG.md

@@ -1,3 +1,10 @@
+# [2.1.0](https://github.com/ambient-code/agentready/compare/v2.0.0...v2.1.0) (2025-11-24)
+
+
+### Features
+
+* Phase 1 Task 1 - Consolidate Security Validation Patterns ([#129](https://github.com/ambient-code/agentready/issues/129)) ([8580c45](https://github.com/ambient-code/agentready/commit/8580c45fdd24e6c485f107098e829b626969db0b)), closes [#122](https://github.com/ambient-code/agentready/issues/122) [#122](https://github.com/ambient-code/agentready/issues/122) [#122](https://github.com/ambient-code/agentready/issues/122) [#122](https://github.com/ambient-code/agentready/issues/122) [#122](https://github.com/ambient-code/agentready/issues/122) [#122](https://github.com/ambient-code/agentready/issues/122)
+
 # [2.0.0](https://github.com/ambient-code/agentready/compare/v1.29.0...v2.0.0) (2025-11-24)
 
 

CLAUDE.md

@@ -10,7 +10,7 @@
 
 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**: v2.0.0 - Core assessment engine complete, 22/31 attributes implemented (9 stubs), LLM-powered learning, research report management
+**Current Status**: v2.1.0 - 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/`
 
@@ -622,5 +622,5 @@ Use the @agent-github-pages-docs to revise all documentation in docs/ based on:
 ---
 
 **Last Updated**: 2025-11-24 by Jeremy Eder
-**AgentReady Version**: 2.0.0
+**AgentReady Version**: 2.1.0
 **Self-Assessment**: 80.0/100 (Gold) ✨

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "agentready"
-version = "2.0.0"
+version = "2.1.0"
 description = "Assess git repositories against 25 evidence-based attributes for AI-assisted development readiness"
 authors = [{name = "Jeremy Eder", email = "jeder@redhat.com"}]
 readme = "README.md"