benchmark

Measures frontend performance metrics from running pages via browse daemon and perf tooling.

Updated Apr 3, 2026
One-click install
npx skills add https://github.com/Intension-us/attention-diagnostic --skill benchmark-intension-us
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: benchmark
Source: https://github.com/Intension-us/attention-diagnostic/tree/main/.claude/skills/gstack/benchmark
Command: npx skills add https://github.com/Intension-us/attention-diagnostic --skill benchmark-intension-us

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Frontend performance regressions creep in as you ship features. This skill provides automated measurement and baseline tracking to detect those regressions early.

Core Features & Use Cases

  • Baseline creation and comparison: establish baseline page timings, Core Web Vitals, and resource sizes, and compare against new PR builds.
  • PR-driven regression alerts: automatically flag regressions when a change is merged or opened.
  • Trend analysis: visualize performance trends across historical benchmarks to identify drift over time.

Quick Start

Run a benchmark against your target URL to measure performance and compare it to existing baselines.

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 my pull requests?

To detect frontend performance regressions, you can establish baseline page timings and Core Web Vitals, then automatically compare new PR builds against those baselines to flag any degradation when changes are opened or merged.

What is the best way to measure Core Web Vitals for historical trend analysis?

Measuring Core Web Vitals for historical trend analysis involves collecting real metrics from running pages using perf tooling, allowing you to visualize performance trends and identify drift over time as you ship features.

How does baseline comparison work for page load latency?

Baseline comparison for page load latency works by capturing deterministic timing data with a browse daemon, storing those baseline metrics, and generating comparison reports that highlight clear degradation alerts for new builds.

Can I audit per-page resource sizes and timings during automated workflows?

Yes, you can audit per-page resource sizes and timings during automated workflows by running benchmarks against target URLs, which applies deterministic data gathering to satisfy per-page audit requirements.

Do I need a browse daemon to collect real frontend metrics?

Yes, you need a browse daemon to collect real frontend metrics from running pages, as it provides the perf tooling required for deterministic data gathering, baseline storage, and comparison reporting.