codeql

Analyze code with CodeQL to detect security vulnerabilities and track data flow.

1|Updated Jan 31, 2026

Search Tags:#static analysis #security #data flow #vulnerability detection #codeql #taint tracking #ql

Ready to run

npx skills add https://github.com/allanninal/claude-code-skills --skill codeql-allanninal

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: codeql
Source: https://github.com/allanninal/claude-code-skills/tree/main/skills/codeql
Command: npx skills add https://github.com/allanninal/claude-code-skills --skill codeql-allanninal

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the detection of security vulnerabilities, taint tracking, and data flow analysis within codebases using the powerful CodeQL static analysis engine.

Core Features & Use Cases

Vulnerability Detection: Identifies security flaws like SQL injection, cross-site scripting, and more.
Data Flow Analysis: Tracks how data moves through the application to find potential security risks.
Custom Querying: Enables the creation and execution of custom QL queries for specific security needs.
CI/CD Integration: Provides guidance on integrating CodeQL into automated build and deployment pipelines.

Quick Start

Use the codeql skill to create a CodeQL database for a Python project and 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 detect security vulnerabilities using static analysis?▼

Static analysis detects security vulnerabilities by tracking data flow and analyzing taint within your codebase. This automates the identification of flaws like SQL injection and cross-site scripting to highlight potential security risks.

How do I write custom QL queries for taint tracking?▼

Writing custom QL queries for taint tracking involves creating specific queries to analyze how data moves through your application. This enables you to target and identify security needs beyond default vulnerability detection.

Does CodeQL work with CI/CD pipeline integration for security audits?▼

CodeQL works with CI/CD pipeline integration for security audits by providing guidance on embedding static analysis into automated build and deployment pipelines. This ensures continuous vulnerability detection during development.

Do I need to compile code before running data flow analysis on compiled languages?▼

You need to successfully compile code before running data flow analysis on compiled languages. This requirement ensures the static analysis engine can accurately map data movement and taint tracking within the codebase.

What is the best way to perform a comprehensive security audit using CodeQL?▼

The best way to perform a comprehensive security audit using CodeQL is to create a database for your project and execute vulnerability detection queries. This tracks data flow to identify flaws like SQL injection and cross-site scripting.