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Agent Environment

CodeQL Dependabot Updates Dependency Review Scorecard supply-chain security

Overview

AgentEnvironment is a lightweight Python-based testing environment designed to validate and experiment with agent implementations. Created as an active development project, it provides a minimal but structured foundation for agent testing and iteration, with pre-configured CI/CD pipelines and security scanning.

Stack

  • Language: Python
  • Testing Framework: pytest
  • Code Quality Tools: pre-commit hooks with gitleaks (secret scanning), end-of-file fixer, trailing-whitespace remover
  • CI/CD: GitHub Actions with CodeQL, Dependabot, SBOM scorecard, and dependency review

Project Structure

.github/                  GitHub Actions workflows and configs
test_example.py           Basic pytest suite with sanity tests
.pre-commit-config.yaml   Pre-commit hooks configuration
README.md                 Project documentation
LICENSE                   MIT License

How It Works

This is a minimal, bootstrapped testing framework. Tests run via pytest, with security gates managed through pre-commit hooks and GitHub Actions. The setup is designed as a sandbox for iterating on agent code, with safety guardrails (gitleaks, dependency scanning) built in from the start.

Getting Started

Prerequisites

  • Python 3.x
  • pytest

Run Tests

From a fresh clone, run tests with pytest:

pytest test_example.py

Pre-commit Hooks

Pre-commit hooks (gitleaks, whitespace checks) will run on commits if configured:

pre-commit run --all-files

License

This project is licensed under the MIT License - see the LICENSE file for details.

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