ocsf/ocsf-schema
Apr 2025 – Feb 2026
2 Months active
Languages Used
MarkdownPythonJSON
Technical Skills
Compliance StandardsData ModelingRefactoringSchema DesignSchema DevelopmentAPI development
Jason Reimer
PROFILE
Jason Reimer
Contributed to the ocsf/ocsf-schema repository by delivering three schema enhancements focused on compliance, evidence modeling, and hardware telemetry. Applied Python and JSON data modeling to realign compliance metadata with CIS and DISA standards, simplifying schema complexity and improving auditability. Unified multiple live evidence classes into a single event structure, introducing nested objects for streamlined data representation and easier downstream processing. Extended the Device Hardware Information schema with a standardized GPU information object, supporting multi-GPU reporting and accurate hardware inventory. Demonstrated strengths in schema design, refactoring, and backward-compatible development, with an emphasis on maintainability, standards alignment, and clear documentation.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
3
Lines of code
1,505
Activity Months2
Your Network
29 peopleSame Organization
@tanium.com5
Work History
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 (Month: 2026-02): Delivered a major schema enhancement to the OCSF Device Hardware Information by adding the GPU Information Object. This feature standardizes GPU hardware attributes across devices, enabling reliable hardware telemetry, inventory accuracy, and downstream reporting. The design introduces a gpu_info object/list (gpu_info_list) with gpu_count maintained at the device level to reflect total GPUs, and captures per-GPU attributes such as bus_type, bus_type_id, cores, vram_size, vram_mode, vram_mode_id, alongside existing model and vendor_name. This work lays the groundwork for multi-GPU support, capacity planning, and performance analytics. Major bugs fixed: none reported this month; focus was on feature delivery. Technologies/skills demonstrated include schema design, JSON data modeling, backward-compatible extension, PR-driven development, and documentation readiness.
1 Commits • 1 Features
Feb 1, 2026February 2026 (Month: 2026-02): Delivered a major schema enhancement to the OCSF Device Hardware Information by adding the GPU Information Object. This feature standardizes GPU hardware attributes across devices, enabling reliable hardware telemetry, inventory accuracy, and downstream reporting. The design introduces a gpu_info object/list (gpu_info_list) with gpu_count maintained at the device level to reflect total GPUs, and captures per-GPU attributes such as bus_type, bus_type_id, cores, vram_size, vram_mode, vram_mode_id, alongside existing model and vendor_name. This work lays the groundwork for multi-GPU support, capacity planning, and performance analytics. Major bugs fixed: none reported this month; focus was on feature delivery. Technologies/skills demonstrated include schema design, JSON data modeling, backward-compatible extension, PR-driven development, and documentation readiness.
February 2026
April 2025
2 Commits • 2 Features
Apr 1, 2025Month: 2025-04 — Delivered two schema-level enhancements in ocsf-schema that advance compliance metadata quality and simplify live evidence data modeling. These changes strengthen standard alignment, reduce schema complexity, and set the groundwork for more robust downstream processing and auditing. Key deliverables: - Compliance Findings Metadata Realignment with CIS/DISA Standards: Realigns the Compliance Finding category (2003) to CIS/DISA expectations; introduces new checks; deprecates legacy terms like 'Device Config State' and 'cis_csc'; enhances descriptions with examples to clarify usage. Commit a24b6746a7fcb5a2f4626e47581f024d98092f4e (#1369). Business value: improved metadata accuracy, standard conformance, and auditability. - Live Evidence Schema Unification into Live Evidence Info: Consolidates multiple 'query evidence' classes into a single Live Evidence Info event class; introduces a nested Query Evidence object; deprecates numerous specific query classes; simplifies the schema for live evidence collection. Commit d095c1f00c109620c60171cd8d9ea29c92b913e4 (#1382). Business value: streamlined data models, consistent live evidence representation, and reduced maintenance. Overall impact: Enhanced standard alignment, clearer data contracts, and a more maintainable schema foundation for compliance and evidence pipelines, enabling faster integration and reliable auditing. Technologies/skills demonstrated: schema refactoring, deprecation strategy, nested object modeling, versioned commits, and cross-team collaboration to align with CIS/DISA standards.
April 2025
2 Commits • 2 Features
Apr 1, 2025Month: 2025-04 — Delivered two schema-level enhancements in ocsf-schema that advance compliance metadata quality and simplify live evidence data modeling. These changes strengthen standard alignment, reduce schema complexity, and set the groundwork for more robust downstream processing and auditing. Key deliverables: - Compliance Findings Metadata Realignment with CIS/DISA Standards: Realigns the Compliance Finding category (2003) to CIS/DISA expectations; introduces new checks; deprecates legacy terms like 'Device Config State' and 'cis_csc'; enhances descriptions with examples to clarify usage. Commit a24b6746a7fcb5a2f4626e47581f024d98092f4e (#1369). Business value: improved metadata accuracy, standard conformance, and auditability. - Live Evidence Schema Unification into Live Evidence Info: Consolidates multiple 'query evidence' classes into a single Live Evidence Info event class; introduces a nested Query Evidence object; deprecates numerous specific query classes; simplifies the schema for live evidence collection. Commit d095c1f00c109620c60171cd8d9ea29c92b913e4 (#1382). Business value: streamlined data models, consistent live evidence representation, and reduced maintenance. Overall impact: Enhanced standard alignment, clearer data contracts, and a more maintainable schema foundation for compliance and evidence pipelines, enabling faster integration and reliable auditing. Technologies/skills demonstrated: schema refactoring, deprecation strategy, nested object modeling, versioned commits, and cross-team collaboration to align with CIS/DISA standards.
Activity
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Quality Metrics
Correctness93.4%
Maintainability93.4%
Architecture93.4%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONMarkdownPython
Technical Skills
API developmentCompliance StandardsData ModelingRefactoringSchema DesignSchema Developmentdata modelingschema design
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