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    Honest Audit — Hard Grader for Your Own Business

    1

    No flattery, evidence required, ends with a decision instead of a summary.

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    See it in action

    You say

    Give me an honest audit of my landing page at example.com/feature. Be a hard grader, no flattery. Tell me why it isn't converting.

    Your agent does

    Total Revenue: $0. Conversion Rate: 0.1%.

    Flow: D (2/10). The CTA above the fold points to a broken anchor link. Copy: F (1/10). "Unlock your potential" is filler. Verdict: FIX THIS WEEK. Replace H1 with "Stop losing data between Zapier steps."

    What you get

    Identify the single highest-impact revenue blocker in a sales funnel.Replace generic marketing filler with high-signal, original data angles.Detect stale data handoffs in automated business workflows and pipelines.Score execution progress by comparing current state against previous audit files.

    About this skill

    The problem

    Most business audits are filled with flattery and vague advice that doesn't drive revenue. You are likely wasting time on pipelines or storefronts that have produced zero results because no one has given you a hard, evidence-based teardown.

    What it does

    • Evaluates live rendered pages and dated output files rather than relying on cached API data or marketing intent.
    • Frames every audit around a "scoreboard" of hard metrics like total revenue, subscriber growth, or response rates.
    • Provides letter grades (A-F) backed by at least two specific pieces of quoted evidence per category.
    • Generates a ranked change list with exact "find and replace" text for prompts, code, or copy.
    • Delivers a final verdict (SELL IT, USE IT, LEARN IT, or IGNORE) with 3 concrete actions and time-cost estimates.

    Why this beats prompting it yourself

    Generic prompts result in "great job overall" feedback that protects your ego but kills your margin. This skill enforces a "no flattery" policy and mandates a scoreboard-first approach, ensuring you get a deliverable you can actually execute this week.

    Use cases

    • Audit a sales funnel to find the exact bounce point for a first-time visitor.
    • Teardown a content pipeline to identify stale data handoffs and filler content.
    • Review automation logs to trace exactly where data was dropped between jobs.
    • Conduct a "Round 2" audit to score yourself on what was actually shipped since the last review.

    Known limitations

    Requires access to live URLs, output files, or logs to provide a grade. It will not estimate metrics if real numbers are available to be read.

    How to install

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

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