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    🖼️ Open Graph Social Card Auditor

    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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    🖼️ Open Graph Social Card Auditor

    🖼️ Open Graph Social Card Auditor

    Example session with this skill installed

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

    • Read your context and instructions
    • Compiled the open graph social

    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 <meta name="twitter:card" content="summary_large_image"> to <head>.

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

    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 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

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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    Security scan passed with 1 warning 4 months ago

    Listed4 months ago

    What's inside

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