openclaw-test-performance

Benchmark OpenClaw test and plugin-suite performance with Vitest and Crabbox.

18|1|Updated Jun 12, 2026

Search Tags:#benchmarking #performance optimization #test suite #memory profiling #OpenClaw

Ready to run

npx skills add https://github.com/vignesh2027/Vilvona-AI --skill openclaw-test-performance-vignesh2027

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: openclaw-test-performance
Source: https://github.com/vignesh2027/Vilvona-AI/tree/main/.agents/skills/openclaw-test-performance
Command: npx skills add https://github.com/vignesh2027/Vilvona-AI --skill openclaw-test-performance-vignesh2027

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps diagnose and optimize the performance of OpenClaw test and plugin-suite runtime, including identifying hotspots, CPU/RSS usage, heap growth, and slow coverage paths.

Core Features & Use Cases

Benchmarking: Collects performance metrics such as wall time, Vitest duration, import duration, max RSS, CPU/user/sys, and heap snapshots.
Diagnosis: Identifies root causes of performance issues, such as full bundled channel/plugin runtime loading, improper use of API methods, and SDK barrel pulling.
Optimization: Provides steps to optimize performance, including code refactoring, dependency injection, and reusing suite-level servers/clients.
Use Case: If you're experiencing slow test runs or high memory usage in your OpenClaw tests, this Skill can help you identify and fix the issues.

Quick Start

Use the openclaw-test-performance skill to benchmark the performance of your test suite.

Frequently Asked Questions about openclaw-test-performance

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I benchmark OpenClaw test suite performance and memory usage?▼

Benchmarking OpenClaw test suite performance involves collecting wall time, Vitest duration, import duration, max RSS, CPU usage, and heap snapshots to identify runtime bottlenecks and memory hotspots.

Why does my OpenClaw test suite have high memory usage and slow execution?▼

High memory usage and slow execution in OpenClaw test suites are often caused by full bundled channel runtime loading, improper API method usage, and SDK barrel pulling. Diagnosing these root causes requires analyzing CPU and RSS heap growth metrics.

Do I need Vitest and Crabbox to profile OpenClaw plugin performance?▼

Yes, profiling OpenClaw plugin performance requires Vitest, Crabbox, and specific OpenClaw configurations to capture CPU and memory profiling metrics. These dependencies enable the collection of heap snapshots and import durations.

What's the best way to optimize slow OpenClaw test runs?▼

The best way to optimize slow OpenClaw test runs is through code refactoring, dependency injection, and reusing suite-level servers and clients. These steps reduce full bundled runtime loading and minimize heap growth during execution.

Can I diagnose heap growth and CPU bottlenecks in OpenClaw plugin suites?▼

Yes, you can diagnose heap growth and CPU bottlenecks in OpenClaw plugin suites by analyzing heap snapshots and max RSS metrics. The skill identifies slow coverage paths and improper API methods causing high resource consumption.

What are the limitations when tuning OpenClaw test performance?▼

Limitations when tuning OpenClaw test performance include the strict requirement for specific OpenClaw configurations alongside Vitest and Crabbox. Without these exact dependencies, the memory and CPU profiling capabilities cannot function properly.