github/codeql
May 2026 – Jun 2026
2 Months active
Languages Used
BashC#CodeQLGoJSONJavaJavaScriptPython
Technical Skills
C# DevelopmentC# developmentCode AnalysisContinuous IntegrationDevOpsGo Development
BazookaMusic
PROFILE
Bazookamusic
Contributed to the github/codeql repository by developing and stabilizing multi-language static analysis features focused on prompt injection detection and range analysis. Refactored core modules in C#, Java, and CodeQL to centralize bound definitions, improve SSA integration, and enhance dataflow analysis, enabling more reliable security coverage across languages. Integrated OpenRouter SDK support with new models and tests to identify vulnerabilities in AI prompt handling. Improved codebase maintainability through cleanup, formatting, and documentation updates, including expanded guidance for secure prompt engineering. Emphasized configuration reliability, cross-language collaboration, and streamlined workflows to support long-term maintainability and faster response to emerging security threats.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
24Total
Bugs
0
Commits
24
Features
9
Lines of code
6,753,765
Activity Months2
Your Network
824 peopleSame Organization
@github.com743
Amelia LivingstonMember
h0lybyteMember
Robin WilliamsMember
www-data (@LanguageStructure)Member
www-data (@LanguageStructure)Member
www-data (Aatlantise)Member
www-data (Abhishek-P)Member
Andy GerlicherMember
www-data (AngledLuffa)Member
Work History
June 2026
20 Commits • 6 Features
Jun 1, 2026June 2026 monthly summary for github/codeql: Key features delivered - Bound and Range Analysis Core Refactor (Multi-language): Consolidated and refactored across C#, Java, and Bound.qll; removed outdated BoundSpecific modules; improved SSA integration and dataflow for range analysis. - OpenRouter SDK support: Added OpenRouter support, new models and tests to detect and handle prompt injection vulnerabilities in applications using this SDK. - Prompt injection detection and stabilization: Added CodeQL queries for SystemPromptInjection and UserPromptInjection; stabilized tests, updated paths, and moved to stable security locations. - Codebase cleanup and consistency: Formatting, naming adjustments (AgentSDK -> AgentSdk), removal of redundant files, alignment of styles. - Documentation and release notes: Expanded docs for system prompt injection queries; release notes for 1.0.52 indicating no user-facing changes. Major bugs fixed - Improved reliability of prompt-injection detection by stabilizing queries, migrating UserPromptInjection to stable paths, refining alert messages, and aligning tests. Overall impact and accomplishments - Strengthened security coverage across multi-language analysis, reduced technical debt, and improved maintainability through code cleanup and better docs; established a solid baseline for future enhancements and faster response to prompt-injection threats. Technologies/skills demonstrated - Multi-language static analysis, SSA/dataflow enhancements, CodeQL query development, OpenRouter SDK integration, testing and QA discipline, release and documentation practices.
20 Commits • 6 Features
Jun 1, 2026June 2026 monthly summary for github/codeql: Key features delivered - Bound and Range Analysis Core Refactor (Multi-language): Consolidated and refactored across C#, Java, and Bound.qll; removed outdated BoundSpecific modules; improved SSA integration and dataflow for range analysis. - OpenRouter SDK support: Added OpenRouter support, new models and tests to detect and handle prompt injection vulnerabilities in applications using this SDK. - Prompt injection detection and stabilization: Added CodeQL queries for SystemPromptInjection and UserPromptInjection; stabilized tests, updated paths, and moved to stable security locations. - Codebase cleanup and consistency: Formatting, naming adjustments (AgentSDK -> AgentSdk), removal of redundant files, alignment of styles. - Documentation and release notes: Expanded docs for system prompt injection queries; release notes for 1.0.52 indicating no user-facing changes. Major bugs fixed - Improved reliability of prompt-injection detection by stabilizing queries, migrating UserPromptInjection to stable paths, refining alert messages, and aligning tests. Overall impact and accomplishments - Strengthened security coverage across multi-language analysis, reduced technical debt, and improved maintainability through code cleanup and better docs; established a solid baseline for future enhancements and faster response to prompt-injection threats. Technologies/skills demonstrated - Multi-language static analysis, SSA/dataflow enhancements, CodeQL query development, OpenRouter SDK integration, testing and QA discipline, release and documentation practices.
June 2026
May 2026
4 Commits • 3 Features
May 1, 2026May 2026 monthly summary focusing on stability, cross-language collaboration, and configuration reliability in CodeQL. The month delivered production-ready improvements, foundational refactors, and simplified workflows that enhance business value and long-term maintainability.
May 2026
4 Commits • 3 Features
May 1, 2026May 2026 monthly summary focusing on stability, cross-language collaboration, and configuration reliability in CodeQL. The month delivered production-ready improvements, foundational refactors, and simplified workflows that enhance business value and long-term maintainability.
Activity
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Quality Metrics
Correctness95.8%
Maintainability91.6%
Architecture94.2%
Performance92.6%
AI Usage32.6%
Skills & Technologies
Programming Languages
BashC#CodeQLGoJSONJavaJavaScriptMarkdownPythonQML
Technical Skills
AI prompt engineeringAPI integrationC# DevelopmentC# developmentCode AnalysisCode analysisCodeQLContinuous IntegrationDevOpsGo DevelopmentJava developmentJavaScriptJavaScript DevelopmentJavaScript developmentOpenAI API
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline