codeql

Name: codeql
Availability: InStock
Author: elizaOS

Perform static security analysis with CodeQL queries and data flow tracking.

19.0k|5.6k|Updated Jul 9, 2024

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

Ready to run

npx skills add https://github.com/elizaOS/eliza --skill codeql-elizaos

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: codeql
Source: https://github.com/elizaOS/eliza/tree/main/packages/skills/skills/static-analysis/skills/codeql
Command: npx skills add https://github.com/elizaOS/eliza --skill codeql-elizaos

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the process of identifying security vulnerabilities and complex bugs in codebases by leveraging advanced static analysis techniques.

Core Features & Use Cases

Vulnerability Detection: Finds security flaws like SQL injection, cross-site scripting, and more.
Data Flow Analysis: Tracks how data moves through your code to uncover hidden risks.
Custom Querying: Allows for the creation of tailored analysis rules specific to your project's needs.
Use Case: Analyze a new feature branch for potential security weaknesses before merging it into the main codebase.

Quick Start

Analyze the current directory for Python security vulnerabilities using CodeQL.

Frequently Asked Questions about codeql

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

FAQPage Schema

How does static analysis detect security vulnerabilities in source code?▼

Static analysis finds security vulnerabilities by modeling data flow and tracking tainted inputs through the codebase. This Skill uses CodeQL to perform deep data flow analysis, uncovering risks like SQL injection and cross-site scripting.

How do I run CodeQL database creation and query my repository for vulnerabilities?▼

You run CodeQL by creating a CodeQL database from your source code, then executing queries against it. This Skill automates database creation and running custom QL queries for security audits and vulnerability detection.

Do I need the CodeQL CLI installed to analyze my code for security flaws?▼

Yes, CodeQL CLI installation is required to analyze code for security flaws. The Skill depends on the CLI to create databases and execute QL queries, and optionally supports Trail of Bits query packs for enhanced vulnerability coverage.

Can I write custom QL queries to find project-specific security weaknesses?▼

Yes, you can write custom QL queries to find project-specific security weaknesses. This Skill supports creating tailored analysis rules and custom querying to uncover hidden risks specific to your codebase's data flow patterns.

What's the best way to integrate static code analysis into a CI/CD pipeline?▼

The best way to integrate static code analysis into a CI/CD pipeline is using CodeQL to scan feature branches before merging. This Skill helps set up CodeQL in CI/CD pipelines to analyze new code for potential security weaknesses.

Why use CodeQL over other static analysis tools for vulnerability detection?▼

CodeQL distinguishes itself through deep taint tracking and data flow analysis across entire codebases. Unlike basic scanners, it allows writing custom QL queries to find complex security vulnerabilities and hidden risks specific to your project.