A pre-publish compliance tool designed to audit video scripts and content for monetization risks, policy violations, and advertiser safety.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install creator-monetization-risk-checker
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install creator-monetization-risk-checker using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Creator Monetization Risk Checker is a specialized auditing tool designed to protect digital creators from demonetization and distribution penalties. By analyzing scripts, captions, and product claims before they go live, this skill provides a detailed safety profile based on current platform policies and advertiser-friendliness standards. It is an essential addition to any workflow utilizing Openclaw Skills for content creation.
This skill bridges the gap between creative expression and platform compliance. It identifies sensitive wording, misleading claims, and originality signals, offering creators a clear path to safer content without sacrificing their original intent. Whether you are managing a single channel or a large content house, this tool ensures your output remains sustainable and profitable.
To activate this skill within your environment, ensure your agent configuration includes the monetization risk parameters found in the Openclaw Skills repository.
# Example integration step
openclaw install creator-monetization-risk-checker
Users should provide the draft script and platform context (e.g., YouTube Shorts, TikTok, Reels) to the agent to begin the audit.
The skill organizes its audit data into a structured format for easy review:
| Data Point | Description | Format |
|---|---|---|
| Risk Score | Numeric value from 1 (Safe) to 5 (High Risk) | Integer |
| Verdict | Color-coded status based on risk scores | String (Green/Yellow/Red) |
| Mitigation | Specific text replacements for risky segments | String |
| Confidence | The AI's certainty regarding the policy violation | Percentage |
| Originality Signal | Assessment of content reuse or repetition | Scale 1-5 |
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