panther-labs/panther-analysis
Jan 2025 – Feb 2025
2 Months active
Languages Used
PythonShellYAML
Technical Skills
AutomationCI/CDData ProcessingGitHub ActionsPython ScriptingScripting
mbellifa
PROFILE
Mbellifa
Mohammed Bellifa developed automation for the panther-analysis repository, focusing on improving detection rule indexing and analysis reliability. He built a GitHub Actions workflow that parses detection-rule YAML files to generate up-to-date JSON and Markdown indexes, streamlining discoverability and reducing manual maintenance. Using Python scripting and YAML processing, he ensured indexes remain synchronized with rule definitions, supporting faster onboarding and governance. In addition, he addressed a critical bug affecting scheduled analysis by refining grouping logic and normalizing data, which improved data integrity and reduced duplicates. His work demonstrated depth in CI/CD automation, data processing, and scripting within a security engineering context.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
429
Activity Months2
Your Network
18 peopleSame Organization
@panther.io3
Work History
February 2025
1 Commits
Feb 1, 2025February 2025 monthly summary for panther-analysis. Focused on reliability and data integrity in scheduled analyses. Delivered a critical bug fix to stabilize indexing and improve grouping for analysis types (Scheduled Query / Scheduled Rule), including case-insensitive handling and whitespace-aware deduplication, resulting in more deterministic results and reduced incidental duplicates.
1 Commits
Feb 1, 2025February 2025 monthly summary for panther-analysis. Focused on reliability and data integrity in scheduled analyses. Delivered a critical bug fix to stabilize indexing and improve grouping for analysis types (Scheduled Query / Scheduled Rule), including case-insensitive handling and whitespace-aware deduplication, resulting in more deterministic results and reduced incidental duplicates.
February 2025
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 performance summary for panther-analysis: Focused on automating detection rule indexing to improve discoverability, onboarding, and governance. Key feature delivered: Automated Index Generator for Detection Rules, implemented as a GitHub Actions workflow that analyzes detection-rule YAML files to generate up-to-date JSON and Markdown indexes. This automation reduces manual indexing, ensures indexes stay in sync with rule definitions, and accelerates rule discovery for security engineers. The work is reflected in commit d15d84205f510a6efb91d234ba68d60f8378571a (Auto Generated Indexes v2 (#1472)). Major bugs fixed: None reported this month; limited to feature work and CI automation. Overall impact and accomplishments: Improved governance of detection rule assets, faster contributor onboarding, and a more scalable rule indexing process. Technologies/skills demonstrated: GitHub Actions, YAML parsing, JSON/Markdown generation, CI/CD automation, and documentation tooling.
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 performance summary for panther-analysis: Focused on automating detection rule indexing to improve discoverability, onboarding, and governance. Key feature delivered: Automated Index Generator for Detection Rules, implemented as a GitHub Actions workflow that analyzes detection-rule YAML files to generate up-to-date JSON and Markdown indexes. This automation reduces manual indexing, ensures indexes stay in sync with rule definitions, and accelerates rule discovery for security engineers. The work is reflected in commit d15d84205f510a6efb91d234ba68d60f8378571a (Auto Generated Indexes v2 (#1472)). Major bugs fixed: None reported this month; limited to feature work and CI automation. Overall impact and accomplishments: Improved governance of detection rule assets, faster contributor onboarding, and a more scalable rule indexing process. Technologies/skills demonstrated: GitHub Actions, YAML parsing, JSON/Markdown generation, CI/CD automation, and documentation tooling.
Activity
Loading activity data...
Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture80.0%
Performance70.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonShellYAML
Technical Skills
AutomationCI/CDData ProcessingGitHub ActionsPython ScriptingScripting
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline