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Detect broken links, outdated content, and quality issues in Confluence. Keep your wiki clean with automated quality checks. 🛡️ Confluence Quality Checker - Documentation & Link Audit Stop wasting time on manual documentation reviews! Confluence Quality Checker automatically detects outdated content, broken links, and quality issues in your Confluence workspace. --- 🚀 What It Does (In 30 Seconds) • 🚨 Critical Issues: Find content older than 1 year that needs immediate attention • 🔗 Broken Links: Detect internal and external broken links automatically • 📅 Outdated Content: Identify stale information with smart date detection • 📊 Smart Reports: Generate professional reports for stakeholders in seconds --- 💡 Why you will Love It • Save review time - Focus only on content that needs attention • Priority-based alerts - Critical issues first, then work down the list • Professional reports - Export to HTML, PDF, CSV, or JSON for meetings • 100% private - All analysis happens locally, no data leaves your device --- 🎯 Perfect For • Technical Writers - Maintain quality standards across all projects • Project Managers - Keep project wikis current and accurate • IT Teams - Manage knowledge bases and procedures • DevOps Engineers - Keep runbooks and guides updated --- ⚡ Getting Started (2 Minutes) 1. Install extension 2. Start scanning immediately 3. View results in beautiful dashboard --- 🔒 Enterprise Ready • GDPR Compliant - No data collection or external processing • Cross-Browser - Chrome, Edge, Brave, and more --- 🛡️ Start protecting your documentation quality today - completely FREE!
Sep 11, 2025
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.