AI_AutoTester is an intelligent agent skill designed to automate code testing and validation through structured task analysis and execution.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-autotester
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install ai-autotester using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is AI_AutoTester?
AI_AutoTester is a specialized tool within the Openclaw Skills ecosystem designed to streamline the quality assurance process for developers. By leveraging an autonomous Tester agent, it analyzes code tasks, plans detailed subtasks, and executes testing protocols to ensure software reliability without manual intervention. This skill is particularly effective for isolating specific process nodes or performing comprehensive unit and integration testing.
It bridges the gap between manual debugging and full automation by providing structured reports and logs for every execution. Developers using Openclaw Skills like AI_AutoTester can significantly reduce technical debt and accelerate release cycles by identifying errors early in the development lifecycle.
AI_AutoTester Use Cases
- Automated unit testing of specific code modules or scripts.
- Validating complex process nodes within a larger automated workflow.
- Generating comprehensive test reports and execution logs for CI/CD pipelines.
- Analyzing task constraints to ensure code compliance with specific project requirements.
How AI_AutoTester Works
- Analyze task: The agent interprets the task description and provided context to understand the testing scope.
- Plan subtasks: A granular testing plan is generated based on the inputs and provided constraints.
- Execute by role: The Tester agent performs the testing actions according to the generated plan.
- Validate result: The execution output is checked against expected outcomes and safety constraints.
- Return final summary: A detailed report including logs and final results is delivered to the user.
AI_AutoTester Setup
To integrate AI_AutoTester into your environment, ensure you have the core framework installed. Add this skill to your configuration directory.
# Install the skill via your local environment
openclaw install ai-autotester
Then, define your testing task in a configuration file or pass it directly via the agent interface with necessary context and constraints.
AI_AutoTester Data Schema & Taxonomy
The skill organizes data into structured reports and logs to provide full traceability for every test run.
| Field | Description | Type |
|---|---|---|
| task | The primary objective or code description to be tested | String |
| context | Optional environment or background data provided to the agent | String/JSON |
| constraints | Specific limitations or rules for the test execution | Array |
| result | The final outcome, including the plan and execution report | Markdown |
| logs | Step-by-step execution history and decision summary | Text |
AI_AutoTester Advanced Features
- Integration with multi-agent workflows for complex, multi-layered software architectures.
- Mandatory confirmation hooks for external actions such as deployments or production environment changes.
- Detailed decision logging that captures key logic and error states for auditing.
- Autonomous validation of results against predefined safety protocols to prevent destructive operations.
SKILL.md
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