xlang-ai/OSWorld
Mar 2026 – Mar 2026
1 Month active
Languages Used
Python
Technical Skills
AI DevelopmentAutomation ScriptingImage ProcessingMachine LearningPython Programming
starb0ttle
PROFILE
Starb0ttle
Developed and delivered the Owl15 GUI Automation Agent for the xlang-ai/OSWorld repository, focusing on automating graphical user interface interactions through image recognition and multi-environment evaluation. Leveraged Python programming and machine learning techniques to enable automated GUI testing, incorporating image processing for robust action execution across diverse environments. Introduced a dedicated run script and managed task orchestration to streamline evaluation workflows, enhancing automation coverage and testability. The work emphasized expanding the repository’s automation capabilities rather than bug fixing, demonstrating depth in AI development and automation scripting while addressing the need for scalable, cross-environment testing in complex software systems.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
1,609
Activity Months1
Your Network
49 peopleShared Repositories
49
Work History
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for xlang-ai/OSWorld: Implemented Owl15 GUI Automation Agent with image recognition and multi-environment evaluation. Delivered a run script for GUI-Owl-1.5 and uploaded owl15_agent to enable automated GUI testing and cross-environment evaluation. Includes task management across multiple environments to streamline testing and automation workflows. No major bugs fixed; changes focus on expanding automation coverage and testability.
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for xlang-ai/OSWorld: Implemented Owl15 GUI Automation Agent with image recognition and multi-environment evaluation. Delivered a run script for GUI-Owl-1.5 and uploaded owl15_agent to enable automated GUI testing and cross-environment evaluation. Includes task management across multiple environments to streamline testing and automation workflows. No major bugs fixed; changes focus on expanding automation coverage and testability.
March 2026
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
AI DevelopmentAutomation ScriptingImage ProcessingMachine LearningPython Programming
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