browser-benchmark

Benchmark token efficiency of browser automation tools across multiple URLs.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/leonardoacosta/central-claude --skill browser-benchmark
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: browser-benchmark
Source: https://github.com/leonardoacosta/central-claude/tree/main/skills/browser-benchmark
Command: npx skills add https://github.com/leonardoacosta/central-claude --skill browser-benchmark

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Benchmarks browser automation token costs to reveal efficiency gaps between tools, helping teams minimize token usage and runtime costs.

Core Features & Use Cases

  • Compare token costs between agent-browser and Playwright MCP across a curated set of test pages.
  • Produce structured results for analysis and reporting, enabling process optimizations.
  • Use cases include evaluating tool efficiency during browser automation tasks, cost-modeling, and regression checks.

Quick Start

Run the benchmark across several test pages to compare token costs between agent-browser and Playwright MCP.

Frequently Asked Questions about browser-benchmark

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

FAQPage Schema
How do I benchmark token costs for browser automation tools?

You can benchmark browser automation token costs by running local scripts across multiple test URLs to measure and compare output size, revealing efficiency gaps between tools like agent-browser and Playwright MCP.

What is the most efficient way to compare token usage between agent-browser and Playwright MCP?

Comparing token usage between agent-browser and Playwright MCP is done by benchmarking output size across static, dynamic, and complex test pages, which produces structured results to analyze efficiency and cost scaling.

Can I use browser benchmarking scripts to measure token cost on dynamic web pages?

Yes, browser benchmarking scripts measure token cost scaling on dynamic web pages by analyzing output size across curated test URLs, applicable to static, dynamic, and complex page structures to evaluate tool efficiency.

Do I need Playwright MCP installed to run browser automation token benchmarks?

Yes, running browser automation token benchmarks requires both agent-browser and Playwright MCP tooling to be installed, as the local scripts compare output size and efficiency gaps between these specific dependencies.

Why does token cost scaling matter when evaluating browser automation tools?

Token cost scaling matters because benchmarking browser automation tools reveals efficiency gaps in token usage, helping teams minimize token consumption and reduce runtime costs during complex web automation tasks.

What limitations exist when benchmarking browser automation token efficiency?

Limitations of browser automation token benchmarking include dependency on agent-browser and Playwright MCP tooling, and results are focused on token output size rather than measuring actual execution speed or runtime performance.