score-hook

You score a LinkedIn hook by evaluating it against a 5-axis rubric covering Specificity, Stake, Pattern-break, Voice-fit, and Decay-resistance. This generates a 0-100 score with an axis breakdown and rewrite guidance to determine ship-worthiness before going live.

A strong LinkedIn hook scores highly across five axes: Specificity, Stake, Pattern-break, Voice-fit, and Decay-resistance. The hook-anatomy framework applies pre-flight checks for hook length, banned openers, and scope alignment to prevent weak starts and ensure quality.

Yes, you can evaluate both agency-hooks and client-hooks using the same 5-axis scorecard. You must provide the hook text, full post context, and target voice profile to generate an accurate 0-100 score and actionable rewrite guidance.

Checking LinkedIn hook quality requires the draft hook text, the full post context, and the target voice profile. These inputs allow the rubric to enforce pre-flight checks and accurately evaluate the Decay-resistance and Voice-fit axes.

Your LinkedIn hook rewrite guidance flags openers because pre-flight checks identify banned openers that cause weak starts. Enforcing pre-flight checks prevents these openers, ensuring the hook passes initial quality barriers before scoring.

A limitation of using a 0-100 scorecard is that it scores a single LinkedIn hook at a time and requires complete post context and a defined voice profile. Without full inputs, the axis breakdown and rewrite guidance may not accurately reflect ship-worthiness.