MAHMOUD ABDELNABY
Content · SKILL MD · 1

Marketing Claim Fact-Checking & Source Verification Fixture

Protect your brand from AI hallucinations and fake statistics. Extract, verify, and audit marketing claims before publishing.

Problem it addresses

Build an open-source marketing claim verification system: 1) Agent Skill (SKILL.md) that extracts factual assertions, percentages, pricing claims, and competitive comparisons from marketing copy, 2) Python CLI script (extract_claims.py) that surfaces unverified numerical claims for human review, 3) 20-point legal and regulatory compliance checklist for consumer claims.

Who it is for

BOTH operating in high-growth e-commerce, digital publishing, and direct-response marketing across Saudi Arabia, UAE, and Egypt.

What is inside

Key files listed in the README repository architecture:

  • checklists/legal-signoff-checklist.md
  • examples/sample-episode-shownotes.md
  • examples/sample_ad_copy_audit.md
  • LICENSE
  • README.md
  • rubrics/claim-verification-rubric.md
  • scripts/generate_chapters.py
  • SKILL.md
  • src/extract_claims.py
  • templates/episode-schema.json
  • templates/podcast-shownotes-template-ar.md
  • tests/test_claims.py

How to evaluate and use it

  1. Read the README first and confirm that the documented problem matches your use case.
  2. Inspect the listed files to find the data, tools, templates, and tests relevant to your task.
  3. Follow the repository’s Quick Start and check prerequisites before running commands.
  4. Compare outputs with documented examples and review limitations before using them in a decision or client workflow.

Quick Start from the README: python -m unittest discover -s tests · python src/extract_claims.py --help

Scope and limitations

  • Auditable Claim Evidence: Replaces vague marketing superlatives with verifiable factual assertions and documented performance metrics.
  • Saudi Statutory Anti-Misleading Rules: Verifies compliance with Saudi Ministry of Commerce prohibitions against false advertising.
  • Testimonial Attribution Standards: Mandates documented user consent and proof of real customer status before publishing testimonials.

This page summarizes the available documentation; it does not establish performance or business results. Verify data and prerequisites before use.

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