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    Citation Freshness Audit: dateModified + Sitemap

    1

    Unlike content-decay (GSC traffic) or schema type audits — checks visible Updated dates, JSON-LD dateModified, and sitemap lastmod for AI-citation freshness.

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    Citation Freshness Audit: dateModified + Sitemap

    Citation Freshness Audit: dateModified + Sitemap

    Example session with this skill installed

    Run a freshness audit on the harbor-docs/ directory using sitemap-harbor.xml. Output a Markdown report for Harbor Tools. Today is 2026-10-16.

    • Read your context and instructions
    • Compiled the citation freshness audit
    • Generated the document

    I have completed the freshness audit for the harbor-docs/ directory. The audit analyzed 5 HTML files against the provided sitemap.

    Freshness Audit Report: Harbor Tools

    Source FileURLStatusBest DateSitemap LastmodNotes
    index.html/FRESH2026-10-102026-10-10Matches across HTML and Sitemap.
    setup.html/setupSITEMAP_MISMATCH2026-09-152026-10-12Sitemap claims newer update than HTML.
    api.html/apiSTALE2026-05-202026-05-20Date is >90 days old.
    guide.html/guideMISSING_DATEN/A2026-10-01No visible or JSON-LD dates found.
    config.html/configWARN2026-08-302026-08-30Date is between 31-90 days old.

    Summary:
    pages=5 | FRESH=1 | STALE=1 | MISSING=1 | MISMATCH=1 | WARN=1

    Next steps

    • Update visible dates and dateModified schema in setup.html to match the sitemap's October 12th timestamp.
    • Add dateModified JSON-LD to guide.html to resolve the missing date signal.
    • Refresh the content in api.html to move the status from STALE to FRESH for better AI citation potential.

    index.html

    PDF · document

    Generated

    Example file from a real run - the skill writes it into your workspace.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Differentiation (read this first) Unlike content-decay / content refresh packs (which triage GSC traffic drops) or schema type/required-prop audits (JSON-LD eligibility), this pack audits citation freshness signals: visible Updated dates, JSON-LD dateModified/datePublished, and sitemap lastmod consistency. It never invents dates to force FRESH and never claims AI-citation lift.

    Sample output (offline dry-run on the included Harborline Tools HTML — 2026-10-16)

    pages=4 | FRESH=1 | STALE=1 | MISSING=1 | MISMATCH=1
    URLStatusBest dateNotes
    /guides/choose-dock-cleatsFRESH2026-10-12Visible + JSON-LD + sitemap aligned (4d ago)
    /compare/anchor-clamp-pro-vs-standardSTALE2025-11-03347 days since last update
    /faq/dock-hardwareMISSING_DATE—No page dates; sitemap entry missing lastmod
    /pricing/anchor-clamp-proSITEMAP_MISMATCH2026-10-10Page Oct 10 vs sitemap lastmod Jun 1

    The problem Research shows AI answers heavily cite recently updated pages — but teams refresh copy without stamping dateModified, leave sitemap lastmod stale, or publish with no visible Updated date. Schema audits and GSC decay tools do not catch that gap.

    What it does

    • Extracts visible update signals (<time datetime>, "Updated …" text, article:modified_time / og:updated_time)
    • Extracts JSON-LD dateModified / datePublished (including @graph)
    • Parses sitemap lastmod and matches to page URLs (canonical / og:url)
    • Flags FRESH (≤30d) / WARN (31–90d) / STALE (>90d) / MISSING_DATE / SITEMAP_MISMATCH
    • Writes CSV + Markdown; stdout one-liner for agents/CI
    • Offline-first, stdlib Python only — no paid APIs

    Why this beats prompting it yourself Same classification rules every run. Offline works unplugged. Never invents dates. CSV your agent can diff in CI after a refresh wave.

    Use cases

    • Pre-flight before pitching pages for AI Overview / ChatGPT citation readiness
    • Post-refresh verification that dates and sitemap lastmod actually moved
    • Agency deliverable: "citation freshness audit" in one pass

    Example session

    "Audit these pages for citation freshness — dateModified vs sitemap lastmod." → pages=4 | FRESH=1 | STALE=1 | MISSING=1 | MISMATCH=1 → Fix checklist: add dates on FAQ; align pricing sitemap lastmod; refresh the Nov 2025 comparison

    Trust Works in Claude Code, Cursor and Codex · tested on the included Harborline sample · Oct 2026 · v1.0.0 · stdlib Python only · no citation guarantees · questions answered within 24h · Cygnix Labs

    Pairs with: Schema Markup / Rich Results Audit · Content Refresh Audit · llms.txt + AI Crawler Access · SEO Meta Tags Generator.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

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    3. 3

      Ask for what you need

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