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    πŸ›‘οΈ Ad Copy Policy Linter

    πŸ›‘οΈ Ad Copy Policy Linter

    by JustHandled Labs

    Check ad copy for the editorial issues that get Google and Meta ads disapproved, before you submit. Flags all-caps words, gimmicky punctuation (!!, ??), prohibited and hype words, Meta's banned personal-attribute framing ("Are you over 40?"), absolute or unsubstantiated claims, ad-field length overflow, and trademark-term risk. The word lists and field limits are editable, so you can tune it to your accounts.

    Updated Jun 2026
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    $12

    Β· or 60 credits

    30-day refund guarantee

    Secure checkout via Stripe

    Included in download

    • Scan campaign CSVs for Meta and Google policy risks before upload.
    • Identify high-risk health and financial claims in batch ad sets.
    • terminal, file_read automation included
    • Ready for Cursor
    • Instant install

    Sample input

    Check this ad copy for policy risks: 'GET 100% GUARANTEED WEIGHT LOSS!!! Click here now to lose 20lbs in 2 days. πŸ’ΈπŸ’ΈπŸ’Έ'

    Sample output

    [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.

    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.

    Use Cases

    • Scan campaign CSVs for Meta and Google policy risks before upload.
    • Identify high-risk health and financial claims in batch ad sets.
    • Automate editorial linting for capitalization and punctuation abuse.
    • Provide remediation steps for ad copy likely to be disapproved.

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    Security Scanned

    Passed automated security review

    Permissions

    Terminal / Shell
    Read Files

    File Scopes

    ad-copy-policy-linter/**
    **/*.txt
    **/*.csv
    **/*.md

    Read-only. Also accepts pasted copy via --stdin. The flagged-word list, trademark list, and ad-field length limits load from editable files in references/, so you can update them without touching code. Reads no environment variables and rewrites nothing.

    Works with any agent that can read text and run a local Python script (Claude Code, Cursor, Codex CLI, and other SKILL.md-compatible agents). Standard library only, no install step. Read-only, and it makes no network calls.

    Creator

    JustHandled Labs creates focused agent skills and workflow packs for Claude, Codex, Cursor, and AI-assisted builders. Each tool is designed around a real repeatable task: cleaner commits, better PRs, stronger handoffs, safer repo hygiene, clearer documentation, and less copy-paste chaos. The goal is not generic AI productivity. The goal is specific workflows that are easier to run, review, and repeat. Maintained by H.J. Westerfield, with a background in communications, editing, project coordination, customer support, and practical AI systems. JustHandled Labs builds tools for people who want useful automation without theatrical complexity.

    Frequently Asked Questions

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