A specialized skill providing comparative benchmarks and guardrails for creating policy-compliant advertising content.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install compl
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install compl using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Ad Compliance Guardrails?
The Ad Compliance Guardrails skill serves as a technical reference for AI agents and developers to ensure generated marketing content adheres to strict industry standards. It focuses on identifying and correcting common violations such as clickbait, misleading claims, and deceptive UI elements.
By implementing these Openclaw Skills, users can automate the vetting process for headlines, descriptions, and imagery. It bridges the gap between creative generation and legal/policy safety, ensuring that AI-driven campaigns remain high-quality and sustainable across various platforms.
Ad Compliance Guardrails Use Cases
- Benchmarking AI-generated ad copy against industry compliance standards.
- Training AI agents to recognize and avoid deceptive marketing tactics like fake buttons or artificial scarcity.
- Auditing existing creative assets for automotive, finance, and consumer product sectors.
- Developing automated content moderation workflows within the Openclaw Skills ecosystem.
How Ad Compliance Guardrails Works
- The skill analyzes the input ad components including headlines, descriptions, and image metadata.
- It cross-references the content against a database of prohibited patterns such as "guaranteed" outcomes or fake urgency.
- The system identifies specific "Bad" traits (e.g., clickbait triggers or unrealistic pricing).
- It provides a "Good" compliant alternative based on factual, descriptive, and non-deceptive language.
- A reasoning log is generated to explain why specific elements failed compliance checks.
Ad Compliance Guardrails Setup
To integrate these compliance patterns into your local environment, include the definitions in your agent's knowledge base:
# Clone the compliance repository
openclaw install ad-compliance-guardrails
# Validate your current ad copy draft
openclaw run audit --file draft_ad.md
Ad Compliance Guardrails Data Schema & Taxonomy
The skill organizes compliance data into a structured format for easy parsing by AI models:
| Field | Description | Example |
|---|---|---|
| Category | The industry vertical | Automotive, Loan, General Product |
| Status | Compliance classification | BAD (Non-Compliant) or GOOD (Compliant) |
| Components | Specific ad parts | Headline, Description, Image description |
| Reasoning | The logic behind the classification | Identification of fake buttons, clickbait, or false claims |
Ad Compliance Guardrails Advanced Features
- Multi-sector support covering Finance, Automotive, and Retail verticals.
- Image-to-text analysis patterns for identifying deceptive visual overlays.
- Comparative A/B logic to transform non-compliant copy into policy-safe versions.
- Integration hooks for Openclaw Skills to trigger automated revisions when violations are detected.
SKILL.md
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