codeql

Perform interprocedural static analysis with CodeQL to detect security vulnerabilities and generate SARIF output.

8|1|Updated Jan 19, 2026
One-click install
npx skills add https://github.com/igbuend/grimbard --skill codeql-igbuend
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: codeql
Source: https://github.com/igbuend/grimbard/tree/main/skills/codeql
Command: npx skills add https://github.com/igbuend/grimbard --skill codeql-igbuend

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill enables in-depth static analysis of codebases to detect complex security vulnerabilities, track data flow, and perform advanced code quality assessments using CodeQL.

Core Features & Use Cases

  • Vulnerability Detection: Identifies security flaws like SQL injection, XSS, and more through deep interprocedural analysis.
  • Data Flow & Taint Tracking: Traces the flow of untrusted data through the codebase to pinpoint potential security risks.
  • Custom Querying: Allows for the creation and execution of custom QL queries for organization-specific patterns.
  • Use Case: Scan a large Java application for critical security vulnerabilities that might be missed by simpler static analysis tools, generating a SARIF report for review.

Quick Start

Use the codeql skill to create a database for the current project's Python code and then analyze it for security vulnerabilities.

Frequently Asked Questions about codeql

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I perform deep static analysis to find security vulnerabilities in my codebase?

Deep static analysis for security vulnerabilities is performed using CodeQL to conduct interprocedural data flow tracking and taint analysis across multiple programming languages, generating a detailed SARIF report for review.

What programming languages are supported for interprocedural data flow analysis?

Interprocedural data flow analysis supports C/C++, C#, Go, Java/Kotlin, JavaScript/TypeScript, Python, and Ruby, enabling comprehensive security vulnerability detection across diverse codebases.

Can I write custom queries to detect organization-specific security patterns?

Yes, you can create and execute custom QL queries to identify organization-specific patterns, extending beyond standard security vulnerability detection and code quality assessments.

Does this static analysis tool integrate with GitHub Advanced Security?

Yes, the deep code analysis integrates directly with GitHub Advanced Security, providing detailed SARIF output for findings to streamline security vulnerability tracking and remediation workflows.

How does taint tracking help identify complex security flaws like SQL injection?

Taint tracking traces the flow of untrusted data through the codebase using deep interprocedural static analysis, pinpointing potential security risks like SQL injection and XSS that simpler tools might miss.

What is the best way to scan a large Java application for critical security vulnerabilities?

The best way to scan large Java applications for critical security vulnerabilities is using CodeQL to build a database and perform deep interprocedural static analysis, outputting results in SARIF format.