Aggregate WordPress QA data into a token-efficient audit summary.
npx skills add https://github.com/damaverick/wp-qa-skills --skill site-audit-damaverick
Please help me install this Agent Skill. Skill: site-audit Source: https://github.com/damaverick/wp-qa-skills/tree/main/skills/site-audit Command: npx skills add https://github.com/damaverick/wp-qa-skills --skill site-audit-damaverick
The Site Audit Skill consolidates multiple WordPress QA data sources (QM JSON, PHP logs, and Playwright JS errors) into a single, token-efficient audit snapshot and orchestrates end-to-end analysis to identify the most critical issues on your site.
Run /site-audit to execute the full audit pipeline using your CONFIG.md settings.
High-intent search queries and answers about installing and using this skill.
Consolidate Query Monitor JSON and PHP logs by aggregating them into a single audit-summary.json file. This token-efficient snapshot combines back-end errors with Playwright JS errors for rapid triage of site health issues.
Automate WordPress QA by running a full site audit pipeline that crawls front-end pages using Playwright to capture JS errors and performance data. It then ranks URLs by health status to prioritize critical fixes.
Yes, you can use Playwright to capture JavaScript errors during a site health check. The audit pipeline crawls front-end pages to collect JS errors and aggregates them with PHP logs into a unified audit summary.
Prioritize WordPress site fixes using RED AMBER GREEN ranking to categorize URLs by severity. The audit evaluates aggregated QA data, identifies the worst offenders, and initiates an autonomous fix loop to address them.
Yes, the autonomous fix loop supports Git-based commit workflows to verify and push changes. It applies configurable thresholds to address issues and includes an optional review process before integrating code updates.
You need a token-efficient audit summary for pre-launch checks when consolidating large volumes of QA data from multiple sources. It aggregates QM JSON, PHP logs, and Playwright errors into a single snapshot for efficient analysis.
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