Worked on the trufflesecurity/trufflehog repository to enhance the reliability of sensitive data detection by addressing a bug in Larksuite token recognition. Focused on improving the token-detection mechanism, the work involved refining regular expressions in Go to introduce boundary conditions, which reduced false positives and improved scan accuracy. This targeted fix contributed to more precise security scanning outcomes without introducing new features during the period. The approach emphasized code quality and traceability by aligning changes with tracked issues. Skills applied included regular expressions, security, and token detection, resulting in a more robust and accurate detection process for the project.