testing-agent
🎯Skillfrom adenhq/hive
Automatically generates and executes comprehensive test cases for software components by dynamically analyzing code structure and potential edge cases.
Installation
npx skills add https://github.com/adenhq/hive --skill testing-agentSkill Details
Overview

English |
简体中文 |
Español |
日本語 |
Русский |
[](https://github.com/adenhq/hive/blob/main/LICENSE)
[](https://www.ycombinator.com/companies/aden)
[](https://hub.docker.com/u/adenhq)
[](https://discord.com/invite/MXE49hrKDk)
[](https://x.com/aden_hq)
[](https://www.linkedin.com/company/teamaden/)
Overview
Build reliable, self-improving AI agents without hardcoding workflows. Define your goal through conversation with a coding agent, and the framework generates a node graph with dynamically created connection code. When things break, the framework captures failure data, evolves the agent through the coding agent, and redeploys. Built-in human-in-the-loop nodes, credential management, and real-time monitoring give you control without sacrificing adaptability.
Visit [adenhq.com](https://adenhq.com) for complete documentation, examples, and guides.
What is Aden

Aden is a platform for building, deploying, operating, and adapting AI agents:
- Build - A Coding Agent generates specialized Worker Agents (Sales, Marketing, Ops) from natural language goals
- Deploy - Headless deployment with CI/CD integration and full API lifecycle management
- Operate - Real-time monitoring, observability, and runtime guardrails keep agents reliable
- Adapt - Continuous evaluation, supervision, and adaptation ensure agents improve over time
- Infra - Shared memory, LLM integrations, tools, and skills power every agent
Quick Links
- [Documentation](https://docs.adenhq.com/) - Complete guides and API reference
- [Self-Hosting Guide](https://docs.adenhq.com/getting-started/quickstart) - Deploy Hive on your infrastructure
- [Changelog](https://github.com/adenhq/hive/releases) - Latest updates and releases
- *[Report Issues](https://github.com/adenhq/hive/issues)
More from this repository4
Orchestrates end-to-end agent development by guiding users through concept understanding, structure building, design optimization, and comprehensive testing.
Constructs goal-driven agent packages with step-by-step guidance, defining nodes, connecting edges, and creating a complete agent class structure.
Provides design patterns and best practices for building robust, goal-driven AI agents with hybrid workflows and pause/resume architectures.
Streamlines core agent development with modular design patterns, state management, and interaction protocols for intelligent autonomous systems