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🛡️ Ad Copy Policy Linter
Automated Ad Policy Compliance for Developers Stop wasting time on "disapproved" notifications.
$6
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- Always the latest version
- Delivered live to your agent via MCP
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🛡️ Ad Copy Policy Linter
Example session with this skill installed
Check this ad copy for policy risks: 'GET 100% GUARANTEED WEIGHT LOSS!!! Click here now to lose 20lbs in 2 days. 💸💸💸'
- Read your context and instructions
- Compiled the ad copy policy
[High Risk] Rule: PROHIBITED_CLAIMS
Message: Guarantees regarding weight loss results are prohibited.
[Medium Risk] Rule: EDITORIAL_CAPS
Message: Excessive use of capitalization ('GET').
[Low Risk] Rule: SYMBOL_ABUSE
Message: Excessive emoji/symbols usage detected.
Subscription · always the latest version
- Secure checkout via Stripe
- Cancel anytime
- Delivered live via MCP (optional)
About this skill
Automated Ad Policy Compliance for Developers
Stop wasting time on "disapproved" notifications. The Ad Copy Policy Linter is a specialized static analysis tool designed to catch editorial and policy violations in Google and Meta ad copy before you hit submit. It treats ad copy like code, applying a rigorous set of heuristics to identify high-risk language, formatting issues, and platform-specific restricted content.
What it does
This skill scans text files, CSVs, or stdin to detect risks based on the latest 2026 Google and Meta editorial guidelines. It provides a detailed report of findings, including severity levels and specific remediation steps. Unlike a general LLM prompt, this skill uses structured scripts and a dedicated audit checklist to ensure consistency and prevent hallucinations regarding platform rules.
- Heuristic Scanning: Detects non-compliant punctuation, capitalization, and restricted claims.
- Platform Specifics: Differentiates between Google and Meta requirements.
- CI/CD Friendly: Integrated Python scripts allow for automated pre-submission checks in your deployment pipeline.
- Clear Evidence: Every flag includes the specific text snippet that triggered the rule and remediation guidance.
Why use this skill?
Prompting a standard AI often results in "vibes-based" feedback. This skill is built on a codified rule engine that follows documented platform policies. It helps developers and growth hackers maintain high account health scores by preventing repeated rejections from automated platform bots.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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