openclaw-virality-critic

Reviews short-form video concepts for hook strength, retention risks, and platform fit.

1|Updated Sep 3, 2026
One-click install
npx skills add https://github.com/sabiscore/the-yap-engine --skill openclaw-virality-critic-sabiscore
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: openclaw-virality-critic
Source: https://github.com/sabiscore/the-yap-engine/tree/main/.agents/skills/openclaw-virality-critic
Command: npx skills add https://github.com/sabiscore/the-yap-engine --skill openclaw-virality-critic-sabiscore

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Short-form creators often publish videos without rigorous review of hook clarity, pacing, or payoff timing, leading to weak retention. This Skill provides a structured adversarial critique of concepts, scripts, storyboards, or rendered shorts before publication. ## Core Features & Use Cases - Retention-Focused Review: Evaluates first-1/3-second clarity, curiosity, information density, pattern interrupts, escalation, payoff timing, and dead-air risk. - Structured Findings: Returns each issue as severity, evidence, likely effect, concrete revision, and validation metric, separating measured evidence from hypotheses. - Use Case: Before publishing a TikTok script, submit it for review to identify a weak opening hook, an unsupported claim, and a CTA mismatch, each paired with a concrete revision suggestion. ## Quick Start Ask the virality critic to adversarially review your short-form video script for hook strength, retention risks, and platform fit.

Frequently Asked Questions about openclaw-virality-critic

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

FAQPage Schema
How do I review a TikTok script for retention before publishing?▼

Submit the script for an adversarial review pass covering first-1/3-second clarity, curiosity, information density, pattern interrupts, escalation, and payoff timing. Findings come back as severity, evidence, likely effect, concrete revision, and a validation metric.

What does a short-form video critique check for?▼

The review checks hook clarity, curiosity and value, information density, pattern interrupts, escalation, payoff timing, caption readability, visual repetition, dead-air risk, CTA fit, unsupported claims, and audience mismatch.

Can the virality critic review a rendered video or only scripts?▼

It accepts a concept, script, storyboard, or rendered short. Any of these artifacts can be submitted for the same structured retention and creative review pass.

Does the review guarantee a video will go viral?▼

No. The review separates measured evidence from hypotheses and never uses guaranteed or sure-bet language. It also does not claim access to platform ranking signals unless evidence is supplied.

What are the limitations of this review skill?▼

It is read-only by default and does not change model or runtime policy. One adversarial pass is considered sufficient unless another revision cycle is explicitly requested.