browser-runtime-observation

Capture browser runtime evidence to validate front-end behavior changes.

Updated Apr 27, 2026
One-click install
npx skills add https://github.com/Handy369/passto-pi-frame --skill browser-runtime-observation
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: browser-runtime-observation
Source: https://github.com/Handy369/passto-pi-frame/tree/main/skills/browser-runtime-observation
Command: npx skills add https://github.com/Handy369/passto-pi-frame --skill browser-runtime-observation

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires chrome-devtools-mcp@latest, and includes references (resource) components.

What problem does it solve?

This Skill resolves uncertainty between source code predictions and actual behavior by collecting real browser runtime evidence (DOM, console, network, a11y, Lighthouse, performance, memory) to confirm, debug, or support implementation decisions with verifiable artifacts.

Core Features & Use Cases

  • Real runtime evidence capture: Collects DOM/console/network/a11y/Lighthouse/performance/memory signals from a live page to replace guesswork with observations.
  • Minimal, evidence-driven scope: Chooses the smallest first investigation path based on the evidence gap (render, console errors, network/API, accessibility/Lighthouse, or performance/memory) rather than doing a full sweep by default.
  • Proof-oriented outputs: Produces condensed conclusions aligned to build/debug/proof/review goals, including references to artifacts for review and merge readiness.
  • Correct boundary management: Avoids taking over user-visible QA, lightweight browser interactions, and tool-guide-level work unless explicitly required by the task.
  • Reference harness support: Provides a local real smoke/contract-check harness as a non-public support asset for the Skill’s runtime proof workflow.

Quick Start

Run browser-runtime-observation to verify the suspected front-end issue by capturing DOM, console, and network evidence on the real page and summarizing the findings into merge-ready proof artifacts.

Frequently Asked Questions about browser-runtime-observation

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

FAQPage Schema
How do I capture real browser runtime evidence to debug DOM render issues?

To debug DOM render issues, capture real browser runtime evidence like console, network, and DOM signals from a live page using a Chrome DevTools-compatible toolchain. This replaces source code guesswork with verifiable observations.

What is the best way to verify front-end accessibility and Lighthouse audit failures?

The best way to verify accessibility and Lighthouse audit failures is to collect real runtime signals from a live page rather than relying on static analysis. The Skill captures these specific observations to confirm or refute the behavior source code and tests cannot reliably predict.

Can I use Chrome DevTools MCP to collect network and console error diagnostics?

Yes, you can use Chrome DevTools MCP to establish a live page context and collect network and console error diagnostics. The Skill uses this dependency to capture the minimal needed signals and output evidence artifacts tied to debug decisions.

How do I prove a front-end performance or memory regression with real runtime data?

To prove a performance or memory regression with real runtime data, you capture live page signals using a Chrome DevTools-compatible toolchain. The Skill condenses these performance and memory observations into merge-ready proof artifacts for review.

Does browser runtime observation replace automated unit tests for front-end implementation changes?

No, browser runtime observation does not replace unit tests. It corrects the boundary by validating behavior that source code and tests cannot reliably predict, capturing actual runtime evidence to support implementation decisions without taking over user-visible QA.

Why are my source code predictions not matching actual network API behavior in the browser?

Source code predictions often mismatch actual network API behavior due to runtime environment variables. The Skill resolves this uncertainty by capturing real network and console evidence from a live page to confirm, debug, or refute the suspected issue.