Agent FAQs

Question 1

How does Agent integrate with CodeQL?

Accepted Answer

Agent generates a `codeql-config.yml` file and provides a Docker container setup that facilitates the use of the CodeQL CLI for running security queries against the code within the container.

Question 2

How do I run Agent?

Accepted Answer

First, build the Docker container using the provided Dockerfile and docker-compose.yml. Then, run the agent using the command `python src/agent.py `, replacing `` with your repository's path.

Question 3

What is the primary use case for Agent?

Accepted Answer

The main purpose of Agent is to streamline the process of running CodeQL security analysis on Python projects stored in local Git repositories by leveraging Docker containers.

Question 4

Where is the codeql-config.yml file located?

Accepted Answer

The `codeql-config.yml` file is generated in the root directory of the Docker container.

Question 5

What is Agent?

Accepted Answer

Agent is a tool designed to execute security analysis, potentially using CodeQL, on local Git repositories within a Docker container. It simplifies the setup for CodeQL analysis.

Agent

Key Features

Use Cases

Agent

Key Features

Use Cases