June 2025 monthly summary for arcsysu/YatCC: Focused on reliability and accuracy improvements in the LLM evaluation pipeline. The major deliverable was a bug fix for LLM Output Formatting and Evaluation Parsing, including removal of markdown/HTML artifacts, correct handling of negative numbers, and extended score calculation to parse integers and complex numbers (commit 93c7d8df9dd2357aba4bc50e9572578caccbb656). These changes reduce evaluation errors, improve metric accuracy, and enhance downstream processing. Impact: more trustworthy model evaluations, smoother user-facing outputs, and a stronger foundation for future features. Technologies/skills demonstrated include data parsing, string cleaning, numeric parsing, robust error handling, test coverage, and maintainable commit-based traceability.