What problem does it solve?
This Skill helps teams review security scanning findings from CodeQL and secret scanning, then safely apply fixes or remediation so real vulnerabilities are addressed without introducing new risk.
Core Features & Use Cases
- Alert triage and prioritization: Classifies CodeQL and secret scanning alerts by severity and determines whether findings are real issues or test fixtures.
- CodeQL-guided remediation: Applies targeted fixes based on alert category (e.g., shell-injection patterns, insecure randomness, rate-limiting gaps) and verifies changes with tests.
- Secret scanning response workflow: Distinguishes real secrets from fake test constants, rotates and revokes active credentials, updates references, and resolves alerts without committing secrets.
- Reporting and audit-friendly tracking: Creates or updates an issue summarizing findings and actions taken, supporting review and accountability.
Quick Start
Ask an AI agent to run security-scanning for your repository and review all newly reported open CodeQL and secret scanning alerts, applying safe fixes and opening a tracking issue.