chore(release): 2.22.1 [skip ci]

## [2.22.1](ambient-code/agentready@v2.22.0...v2.22.1) (2026-01-15)

### Bug Fixes

* **assessors:** FileSizeLimitsAssessor now respects .gitignore ([ambient-code#248](ambient-code#248)) ([eaaecc2](ambient-code@eaaecc2)), closes [ambient-code#245](ambient-code#245)

Author: semantic-release-bot

CHANGELOG.md

@@ -1,3 +1,10 @@
+## [2.22.1](https://github.com/ambient-code/agentready/compare/v2.22.0...v2.22.1) (2026-01-15)
+
+
+### Bug Fixes
+
+* **assessors:** FileSizeLimitsAssessor now respects .gitignore ([#248](https://github.com/ambient-code/agentready/issues/248)) ([eaaecc2](https://github.com/ambient-code/agentready/commit/eaaecc264683c612d6c0fb65b00dc3e22d394aa1)), closes [#245](https://github.com/ambient-code/agentready/issues/245)
+
 # [2.22.0](https://github.com/ambient-code/agentready/compare/v2.21.0...v2.22.0) (2025-12-16)
 
 

CLAUDE.md

@@ -2,15 +2,15 @@
 
 **Purpose**: Assess repositories against agent-ready best practices and generate actionable reports.
 
-**Last Updated**: 2025-12-16
+**Last Updated**: 2026-01-15
 
 ---
 
 ## Overview
 
 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**: v2.22.0 - Core assessment engine complete, most essential assessors implemented, LLM-powered learning, research report management
+**Current Status**: v2.22.1 - 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/`
 
@@ -444,8 +444,8 @@ Use the `github-pages-docs` agent for documentation updates after:
 
 ---
 
-**Last Updated**: 2025-12-16 by Jeremy Eder
-**AgentReady Version**: 2.22.0
+**Last Updated**: 2026-01-15 by Jeremy Eder
+**AgentReady Version**: 2.22.1
 **Self-Assessment**: 80.0/100 (Gold) ✨
 
 ### GitHub Actions Guidelines

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "agentready"
-version = "2.22.0"
+version = "2.22.1"
 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"