xlang-ai/OSWorld
May 2025 – May 2026
8 Months active
Languages Used
PythonCJSON
Technical Skills
Code RefactoringData ProcessingFile HandlingSpreadsheet ManipulationAccessibility TestingBug Fixing
zdy023
PROFILE
Zdy023
Over eight months, contributed to the xlang-ai/OSWorld repository by building and refining backend systems focused on evaluation, configuration, and agent behavior. Leveraged Python, JSON, and C to enhance LibreOffice Calc evaluation modules, optimize agent directives, and improve configuration management. Addressed data integrity by aligning evaluation groundtruth and clarifying instruction sets, reducing false negatives and misreporting. Applied robust error handling, conditional formatting logic, and cross-platform development practices to stabilize deployments and streamline onboarding. Maintained traceability through disciplined Git workflows and clear documentation, ensuring maintainability and auditability. The work emphasized data validation, system reliability, and scalable configuration across evolving requirements.
Overall Statistics
Feature vs Bugs
73%Features
Repository Contributions
15Total
Bugs
3
Commits
15
Features
8
Lines of code
695
Activity Months8
Your Network
52 peopleShared Repositories
52
Work History
May 2026
1 Commits
May 1, 2026May 2026 monthly summary for xlang-ai/OSWorld. Focused on improving evaluation data integrity by fixing evaluation groundtruth alignment. Implemented a targeted bug fix to correct a boolean reference to a string reference to align with the source document and ensure accurate evaluation results. The change reduces misreporting in evaluation metrics and strengthens the reliability of downstream analytics.
1 Commits
May 1, 2026May 2026 monthly summary for xlang-ai/OSWorld. Focused on improving evaluation data integrity by fixing evaluation groundtruth alignment. Implemented a targeted bug fix to correct a boolean reference to a string reference to align with the source document and ensure accurate evaluation results. The change reduces misreporting in evaluation metrics and strengthens the reliability of downstream analytics.
May 2026
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 focused on improving example configurations for LibreOffice Calc and multi-app workflows in xlang-ai/OSWorld. Delivered a clarified configuration baseline and fixed two task example configs to enhance reliability, with changes tracked under commit 2e1371da791b97acb82bef19e3b8b90fd92c16f3 (ver Mar30th, #475). This strengthens cross-app interoperability and long-term maintainability, reducing onboarding friction and potential support overhead.
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 focused on improving example configurations for LibreOffice Calc and multi-app workflows in xlang-ai/OSWorld. Delivered a clarified configuration baseline and fixed two task example configs to enhance reliability, with changes tracked under commit 2e1371da791b97acb82bef19e3b8b90fd92c16f3 (ver Mar30th, #475). This strengthens cross-app interoperability and long-term maintainability, reducing onboarding friction and potential support overhead.
January 2026
1 Commits
Jan 1, 2026Concise monthly summary for 2026-01 focused on clarifying evaluation instructions for LibreOffice Calc to improve accuracy and reliability of automated tests within xlang-ai/OSWorld. Implemented a targeted bug fix to ensure outputs are generated on the correct sheets by specifying concrete sheet names in JSON evaluation files; this reduces false negatives and improves evaluation fidelity.
1 Commits
Jan 1, 2026Concise monthly summary for 2026-01 focused on clarifying evaluation instructions for LibreOffice Calc to improve accuracy and reliability of automated tests within xlang-ai/OSWorld. Implemented a targeted bug fix to ensure outputs are generated on the correct sheets by specifying concrete sheet names in JSON evaluation files; this reduces false negatives and improves evaluation fidelity.
January 2026
October 2025
1 Commits • 1 Features
Oct 1, 2025In 2025-10, focused on delivering measurable business value through agent behavior optimization in OSWorld. Key feature delivered: Agent Behavior Optimization, with a targeted set of directive refinements to prevent unnecessary actions and increase efficiency and predictability. This work lays groundwork for scalable policy tuning and reduces resource waste. No major bugs reported in the provided data; maintenance tasks included minor refactors and commit-level documentation for auditability. Technologies demonstrated included policy refinement, version control discipline, and repository hygiene for the xlang-ai/OSWorld project.
October 2025
1 Commits • 1 Features
Oct 1, 2025In 2025-10, focused on delivering measurable business value through agent behavior optimization in OSWorld. Key feature delivered: Agent Behavior Optimization, with a targeted set of directive refinements to prevent unnecessary actions and increase efficiency and predictability. This work lays groundwork for scalable policy tuning and reduces resource waste. No major bugs reported in the provided data; maintenance tasks included minor refactors and commit-level documentation for auditability. Technologies demonstrated included policy refinement, version control discipline, and repository hygiene for the xlang-ai/OSWorld project.
August 2025
1 Commits • 1 Features
Aug 1, 2025August 2025 — OSWorld: Calculation evaluation enhancements delivered, with improvements to annotation handling, parsing error management, and support for new conditional formatting types; a critical fix to the calculation evaluation pipeline was applied (commit 7364a720a634e122356dad15b34aad22a0dc4e31). Overall, this work improves formula reliability, data accuracy, and user experience in the calculation workflow.
1 Commits • 1 Features
Aug 1, 2025August 2025 — OSWorld: Calculation evaluation enhancements delivered, with improvements to annotation handling, parsing error management, and support for new conditional formatting types; a critical fix to the calculation evaluation pipeline was applied (commit 7364a720a634e122356dad15b34aad22a0dc4e31). Overall, this work improves formula reliability, data accuracy, and user experience in the calculation workflow.
August 2025
July 2025
7 Commits • 3 Features
Jul 1, 2025July 2025 performance summary for xlang-ai/OSWorld: Focused on delivering robust evaluation enhancements, improving setup workflows, and stabilizing core OSWorld functionality while strengthening internal infrastructure for cross-platform reliability. Achievements translate into higher reliability for end users, smoother onboarding for new features, and a stronger foundation for scalable deployments.
July 2025
7 Commits • 3 Features
Jul 1, 2025July 2025 performance summary for xlang-ai/OSWorld: Focused on delivering robust evaluation enhancements, improving setup workflows, and stabilizing core OSWorld functionality while strengthening internal infrastructure for cross-platform reliability. Achievements translate into higher reliability for end users, smoother onboarding for new features, and a stronger foundation for scalable deployments.
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 summary for xlang-ai/OSWorld: Focused enhancements to the LibreOffice Calc Evaluation Module to improve cell reading and formatting accuracy. Features delivered include improved extraction of cell values, robust handling of merged cells and inline strings, refined conditional formatting logic for contiguous empty cells, and updated example instructions for clarity. Major bugs fixed: corrected misreads of merged cells and inline strings, and fixed edge-case behavior in conditional formatting for contiguous empty cells. Impact: higher reliability of Calc evaluation, reduced downstream data corrections, and clearer user guidance. Technologies/skills demonstrated: debugging and patching of parsing and formatting logic, commit-driven development, and collaboration in a specialized repository.
1 Commits • 1 Features
Jun 1, 2025June 2025 summary for xlang-ai/OSWorld: Focused enhancements to the LibreOffice Calc Evaluation Module to improve cell reading and formatting accuracy. Features delivered include improved extraction of cell values, robust handling of merged cells and inline strings, refined conditional formatting logic for contiguous empty cells, and updated example instructions for clarity. Major bugs fixed: corrected misreads of merged cells and inline strings, and fixed edge-case behavior in conditional formatting for contiguous empty cells. Impact: higher reliability of Calc evaluation, reduced downstream data corrections, and clearer user guidance. Technologies/skills demonstrated: debugging and patching of parsing and formatting logic, commit-driven development, and collaboration in a specialized repository.
June 2025
May 2025
2 Commits • 1 Features
May 1, 2025May 2025 – OSWorld (xlang-ai/OSWorld): Focused on internal configuration data updates to operational defaults. Delivered two JSON config updates to standardize defaults across environments, improving deployment safety and reducing environment drift. No user-facing features introduced; no customer-visible bugs fixed this month. Changes are traceable via two commits. Overall impact: improved stability, predictability, and data correctness, enabling safer releases and easier rollback. Technologies demonstrated include JSON configuration management and Git-based change control.
May 2025
2 Commits • 1 Features
May 1, 2025May 2025 – OSWorld (xlang-ai/OSWorld): Focused on internal configuration data updates to operational defaults. Delivered two JSON config updates to standardize defaults across environments, improving deployment safety and reducing environment drift. No user-facing features introduced; no customer-visible bugs fixed this month. Changes are traceable via two commits. Overall impact: improved stability, predictability, and data correctness, enabling safer releases and easier rollback. Technologies demonstrated include JSON configuration management and Git-based change control.
Activity
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Quality Metrics
Correctness79.4%
Maintainability77.2%
Architecture70.8%
Performance70.0%
AI Usage29.4%
Skills & Technologies
Programming Languages
CJSONPython
Technical Skills
Accessibility TestingAgent Behavior TuningBackend DevelopmentBug FixingCode RefactoringConditional FormattingCross-Platform DevelopmentData ProcessingDevOpsEmail IntegrationError HandlingFile HandlingFormula ParsingJSONJSON manipulation
Repositories Contributed To
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