How does this help with security audits?

It automates the tedious process of extracting and categorizing vulnerabilities, allowing security researchers to focus on remediation logic rather than manual data parsing.

SARIF (Static Analysis Results Interchange Format) is an industry-standard format for outputting findings from static analysis security tools like Semgrep, CodeQL, or Brakeman.

Is it compatible with CI/CD workflows?

Yes, the skill can be used to process SARIF files within automated pipelines to facilitate security gates, automated reporting, and alert management.

Can this skill aggregate results from multiple tools?

Yes, it is specifically designed to merge, analyze, and deduplicate findings from various security scanners into a unified, actionable format.

SARIF Security Parsing

Name: SARIF Security Parsing
Author: plurigrid

byplurigrid

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Security & Testing

Parses and analyzes Static Analysis Results Interchange Format (SARIF) files to streamline security vulnerability management and tool integration.

About

This skill enables Claude to efficiently handle SARIF files, the industry standard for representing static analysis results. It allows for the seamless aggregation of findings from multiple security scanners, the deduplication of redundant alerts, and the extraction of specific vulnerabilities for focused remediation. By providing structured access to security data, this skill facilitates more effective security audits and simplifies the integration of complex scan results into automated CI/CD pipelines and reporting workflows.

Key Features

Standardized SARIF data parsing and processing
Multi-tool security finding aggregation
Automated alert deduplication and filtering
CI/CD pipeline integration for security data
Targeted vulnerability extraction
2 GitHub stars

Use Cases

Consolidating security scan results from diverse tools like Semgrep, CodeQL, and SonarQube
Structuring security audit data for context-building and remediation planning
Automating the identification of critical security vulnerabilities in large-scale scan files

About

Key Features

Standardized SARIF data parsing and processing
Multi-tool security finding aggregation
Automated alert deduplication and filtering
CI/CD pipeline integration for security data
Targeted vulnerability extraction
2 GitHub stars

Use Cases

Consolidating security scan results from diverse tools like Semgrep, CodeQL, and SonarQube
Structuring security audit data for context-building and remediation planning
Automating the identification of critical security vulnerabilities in large-scale scan files