A rigorous testing framework for validating Openclaw Skills through isolated sandboxing and multi-agent evaluation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install skill-test
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 skill-test 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 Skill Test?
The Skill Test tool is a specialized utility designed for developers and power users to experiment with Openclaw Skills without compromising their primary working environment. It operates on the core principle of isolation, enabling you to test drive new capabilities or verify your own creations in a controlled sandbox. By leveraging sub-agents, this skill ensures that any experimental code or complex instructions remains partitioned from your main session until they are proven safe and effective.
Using this skill is essential for maintaining a clean and efficient agent ecosystem. Whether you are trying out Openclaw Skills from the community or preparing your own for publication, the testing framework provides the necessary infrastructure to measure output quality, check for instruction clarity, and monitor token consumption. It serves as a quality assurance gate that guarantees only the most reliable tools are integrated into your permanent workflow.
Skill Test Use Cases
- Trialing new Openclaw Skills before committing to a full installation in your environment.
- Conducting side-by-side A/B comparisons between two different Openclaw Skills to determine which provides better results for a specific task.
- Evaluating the security and performance of custom Openclaw Skills before publishing them to a public registry.
- Troubleshooting failed skill activations by running them in a clean, minimal context sub-agent.
How Skill Test Works
- Identify the specific Openclaw Skills you wish to evaluate and retrieve their content or slug.
- Use the sessions_spawn command to create a temporary sub-agent with a restricted context.
- Load the target SKILL.md file directly into the sub-agent's memory while keeping the main session isolated.
- Execute a representative task to observe how the Openclaw Skills perform under realistic conditions.
- Analyze the resulting logs for clarity, token efficiency, and accuracy before making an installation decision.
Skill Test Setup
To begin testing Openclaw Skills, you can trigger a trial session using the following command structure within your agent interface:
sessions_spawn(
task="Test skill X: Load ONLY its SKILL.md, run [sample task], report quality",
model="anthropic/claude-haiku"
)
If you need to verify a skill slug before testing, use the hub utility:
npx clawhub info <slug>
Skill Test Data Schema & Taxonomy
The testing process organizes data into isolated session contexts to prevent environment pollution. The following schema outlines the evaluation criteria:
| Attribute | Description |
|---|---|
| Activation | Checks if the skill initializes correctly within the sub-agent. |
| Clarity | Evaluates if the instructions provided in the SKILL.md are unambiguous. |
| Token Cost | Monitors the overhead generated during the execution of test tasks. |
| Output Quality | Measures the accuracy and usefulness of the results against expected outcomes. |
Skill Test Advanced Features
- Isolated sub-agent spawning to ensure Openclaw Skills never affect the user's primary global context.
- Multi-agent evaluation modes that use specialized reviewer agents to critique skill structure and safety.
- Automated A/B comparison workflows that present outputs from different Openclaw Skills side-by-side for human review.
- Resource-efficient testing using lightweight models like Claude Haiku to minimize operational costs during the trial phase.
SKILL.md
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