benchmark

Collect baseline page load and Core Web Vitals metrics to detect performance regressions.

Updated Mar 31, 2026
One-click install
npx skills add https://github.com/hetsheth-droid/toolbox-template --skill benchmark-hetsheth-droid
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: benchmark
Source: https://github.com/hetsheth-droid/toolbox-template/tree/main/incubating/gstack/benchmark
Command: npx skills add https://github.com/hetsheth-droid/toolbox-template --skill benchmark-hetsheth-droid

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Performance regression detection using the browse daemon to establish baselines for page load times, Core Web Vitals, and resource sizes. It compares before/after on every PR and tracks performance trends over time.

Core Features & Use Cases

  • Baseline creation for new pages and builds.
  • PR-based detection and trend analysis across versions.
  • Summary reports of Core Web Vitals, timings, and bundle sizes.

Quick Start

Run the benchmark against a URL to initiate a full performance audit.

Frequently Asked Questions about benchmark

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

FAQPage Schema
How do I detect frontend performance regressions in pull requests?

Detect frontend performance regressions by establishing baseline metrics for page load and Core Web Vitals, then generating delta reports on every PR to highlight drift. The benchmark Skill automates this comparison across branches and deployments.

What Core Web Vitals are measured when auditing page load performance?

Core Web Vitals measured during a page load performance audit include TTFB, FCP, and LCP. The benchmark Skill also collects resource timings and bundle sizes to establish a comprehensive baseline for comparison.

How do I set up a performance baseline for web vital metrics?

Set up a performance baseline for Web Vitals by running a benchmark audit against a target URL. The browse daemon collects initial TTFB, FCP, LCP, and resource size metrics to serve as a reference point for future regression detection.

Can I track performance trends across multiple deployments and branches?

Yes, you can track performance trends across multiple deployments and branches. The benchmark Skill applies baseline metrics to pull requests and deployments, using trend analysis to identify performance drift over time.

Does this performance regression detection work without external dependencies?

Yes, performance regression detection works without external dependencies. The Skill operates independently using the browse daemon to collect metrics and generate delta reports for PR reviews.

What is the best way to compare bundle sizes before and after a deployment?

The best way to compare bundle sizes before and after a deployment is to establish a resource size baseline and generate a delta report. The benchmark Skill automates this comparison to guide optimizations during PR reviews.