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    🖼️ Open Graph Social Card Auditor

    by JustHandled Labs

    1

    The Open Graph Social Card Auditor is a developer-focused tool designed to diagnose why link previews look broken when shared on platforms like Slack, X (Twitter), or LinkedIn.

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    See it in action

    You say

    Audit the Open Graph tags in my index.html file and tell me why the Twitter preview isn't working.

    Your agent does

    ### Social Card Audit: index.html **Findings:** - [High] Missing `twitter:card`: Twitter won't render a card without this. - [Medium] `og:image`: URL is relative. Twitter/LinkedIn require absolute URLs. - [Low] `og:description`: Exceeds 200 characters; content will be truncated. **Remediation:** Add `` to ``.

    What you get

    Identify missing or malformed Open Graph and Twitter Card tags in local codeConvert relative image paths to required absolute URLs for social scrapersValidate character counts and image dimensions against platform requirementsGenerate copy-paste remediation snippets to fix broken link previews fast

    About this skill

    What it does

    The Open Graph Social Card Auditor is a developer-focused tool designed to diagnose why link previews look broken when shared on platforms like Slack, X (Twitter), or LinkedIn. It performs a deep static analysis of your HTML markup to identify missing, malformed, or redundant meta tags.

    Why use this skill

    Debugging social cards is notoriously frustrating because platform scrapers are opaque. This skill moves the "audit" phase into your local development workflow. Instead of guessing or repeatedly pushing to production to test with external debuggers, you can validate your local HTML files or raw snippets instantly. It uses a specialized Python scanner and a curated rule engine to catch errors that basic linters miss, such as incorrect image dimensions, missing required Twitter properties, or malformed OG types.

    Supported tools

    • Standard HTML/HTM files
    • Local directories & repositories
    • Raw markup via stdin
    • Python-based static analysis engine

    The output

    You receive a structured audit report including a severity-based list of findings, specific line-number evidence, and copy-paste remediation snippets to fix your tags immediately.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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    Creator

    JustHandled Labs builds focused agent skills for the work nobody wants to do by hand. Each one is a single repeatable job done well: catching the security and data mistakes that quietly ship, keeping docs and tests honest, gating the commands an agent is about to run, sharpening writing, and handling the founder chores around launches, outreach, and brand setup. Not generic AI productivity. Specific workflows that are easy to run, review, and repeat. Maintained by H.J. Westerfield, with a background in communications, editing, project coordination, customer support, and practical AI systems. Tools for people who want useful automation without theatrical complexity.

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