scrollclaw-score

Score UGC candidate videos on seven virality criteria with a 70+ go/no-go gate.

68|15|Updated Mar 24, 2026
One-click install
npx skills add https://github.com/TheMattBerman/scrollclaw --skill scrollclaw-score
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: scrollclaw-score
Source: https://github.com/TheMattBerman/scrollclaw/tree/main/score
Command: npx skills add https://github.com/TheMattBerman/scrollclaw --skill scrollclaw-score

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill prevents weak UGC videos from being published by scoring each final clip for virality signals and enforcing a 70+ go/no-go threshold.

Core Features & Use Cases

  • 7-dimension virality scoring (0–100 each): Hook strength, emotional impact, pacing, text readability, scroll-stop power, completion likelihood, and shareability.
  • Pre-publish quality gate: Publishes only when the average meets the threshold, and otherwise routes the work back to the right upstream stage for remediation.
  • Campaign-aware evaluation with evidence logging: Reads campaign brief and persona research for intent-aligned scoring and appends learnings to a persistent campaign file.

Quick Start

Use scrollclaw-score to score the final assembled clips in workspace/campaigns/<slug>/clips/final-*.mp4 against the 7 virality dimensions and publish only clips scoring 70+.

Frequently Asked Questions about scrollclaw-score

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I score UGC videos for virality before publishing them?

Score UGC videos for virality by evaluating final assembled clips against a seven-criterion framework that measures hook strength, pacing, and shareability on a 0-100 scale to enforce a 70+ go/no-go gate before distribution.

What is a go no-go gate for campaign video quality checks?

A go no-go gate for campaign video quality checks is a pre-publish threshold that requires a candidate clip to average 70 or above across seven virality scoring dimensions, preventing weak content from being distributed and routing failures back upstream for remediation.

How do I validate caption readability and scroll-stop power in a content pipeline?

Validate caption readability and scroll-stop power by running final clip files through the seven-dimension virality scoring framework, which scores these specific metrics alongside hook strength and completion likelihood to determine campaign readiness.

Can I use campaign brief and persona research to inform UGC scoring?

You can use campaign brief and persona research to inform UGC scoring by providing them as optional campaign context, allowing the evaluation to align scoring with audience intent and append learnings to a persistent campaign file.

What happens when a UGC clip fails the virality score threshold?

When a UGC clip fails the virality score threshold, the process appends remediation learnings to the campaign file and routes the work back to the appropriate upstream skill in the content pipeline for correction.

What are the limitations of using a 7-part virality score for video evaluation?

The limitation of a 7-part virality score is that it strictly enforces a 70+ average threshold, meaning clips with strong emotional impact but weak text readability will fail the gate and require upstream remediation before re-evaluation.