42-page-health

Compute per-URL health scores by aggregating SEO risk signals from Screaming Frog exports and optional GSC data.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/chapter42/SEO-Skills-42 --skill 42-page-health
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: 42-page-health
Source: https://github.com/chapter42/SEO-Skills-42/tree/main/skills/42-page-health
Command: npx skills add https://github.com/chapter42/SEO-Skills-42 --skill 42-page-health

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Aggregates multiple per-URL SEO risk signals into a single, actionable health score to prioritize fixes after Google core updates.

Core Features & Use Cases

  • Unified per-URL health score (0-100) to rank pages by risk
  • Inputs from Screaming Frog internal exports and optional GSC data for traffic decay
  • Page-type aware thresholds and top-risk reporting to guide remediation
  • Outputs suitable for dashboards and bulk optimization workflows

Quick Start

Run the Page Health analysis on your Screaming Frog export to generate a per-URL health report.

Frequently Asked Questions about 42-page-health

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

FAQPage Schema
How do I calculate a per-URL health score for SEO triage after a core update?▼

A per-URL health score for SEO triage aggregates multiple risk signals from Screaming Frog internal exports and optional Google Search Console data into a 0-100 graduated model. This ranks pages by risk to prioritize remediation after core updates.

What SEO risk signals are used to prioritize pages for bulk triage?▼

SEO bulk triage uses seven risk signals computed from crawl data and GSC traffic decay metrics. These signals apply page-type aware thresholds to generate a unified 0-100 health score per URL, identifying top risks for optimization workflows.

Can I use Screaming Frog crawl data with Google Search Console data for page health analysis?▼

Yes, page health analysis combines Screaming Frog internal exports with optional Google Search Console data. Integrating crawl data with GSC pages metrics identifies traffic decay and computes comprehensive per-URL risk scores.

How do I identify orphan pages and internal linking issues from crawl data?▼

Identify orphan pages and internal linking issues by running a page health analysis on your crawl data. The computed risk signals flag internal linking deficits and isolated URLs, outputting a prioritized per-URL health report for bulk fixes.

Does page health scoring support page-type aware thresholds for SEO audits?▼

Yes, page health scoring supports page-type aware thresholds for SEO audits. The graduated scoring model applies specific risk thresholds per page type, generating tailored top-risk reports to guide targeted remediation workflows.

What is the best way to prioritize URLs for optimization when GSC traffic decays?▼

The best way to prioritize URLs during GSC traffic decay is to compute a unified health score. Aggregating seven risk signals from crawl data and GSC metrics ranks pages by risk, enabling targeted bulk optimization workflows.