codeql

Automate CodeQL security analysis to identify vulnerabilities and data-flow risks.

10|4|Updated Feb 5, 2026
One-click install
npx skills add https://github.com/sbknana/equipa --skill codeql-sbknana
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: codeql
Source: https://github.com/sbknana/equipa/tree/main/skills/security/static-analysis/skills/codeql
Command: npx skills add https://github.com/sbknana/equipa --skill codeql-sbknana

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

CodeQL-based security analysis helps identify vulnerabilities, taint tracking weaknesses, and data-flow issues across codebases, enabling proactive security improvements.

Core Features & Use Cases

  • Database creation: Build CodeQL databases from multiple languages to enable cross-language security analysis.
  • Custom queries & automation: Write and run custom CodeQL queries as part of CI/CD pipelines to automate security audits.
  • End-to-end workflow: Use in conjunction with CodeQL packs and Trail of Bits queries for deeper coverage across projects.

Quick Start

Install CodeQL, create a database for your language, and run a security analysis with built-in queries.

Frequently Asked Questions about codeql

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

FAQPage Schema
How do I automate CodeQL static analysis in a CI/CD pipeline?

Automating CodeQL static analysis in a CI/CD pipeline involves writing and running custom QL queries against built language databases to identify vulnerabilities and data-flow risks automatically.

What is taint tracking and how does it find data-flow risks in codebases?

Taint tracking finds data-flow risks by analyzing how untrusted inputs propagate through codebases, enabling CodeQL security analysis to identify vulnerabilities and weaknesses across multiple languages.

Do I need the CodeQL CLI to run custom security queries?

Yes, running custom security queries requires a working CodeQL CLI to build language databases and execute the QL queries needed for automated security audits.

Can I perform cross-language security analysis using CodeQL packs?

Yes, you can perform cross-language security analysis by building CodeQL databases from multiple languages and using CodeQL packs alongside Trail of Bits queries for deeper coverage.

What is the best way to start analyzing vulnerabilities for a multi-language project?

The best way to analyze vulnerabilities in a multi-language project is to install CodeQL, create language databases, and run security analysis using built-in and custom queries.