blog-factcheck

# Blog Fact-Check Verify statistics, claims, and source attributions in blog posts. Pure Claude pipeline with no external NLP dependencies. ## Workflow ### Step 1: Read the Blog Post Read the target file and identify all sections containing data claims. ### Step 2: Extract Statistical Claims Scan the full text for every claim that includes a number, percentage, dollar amount, or named source. Build a claims list with these fields: | Field | Description | |-------|-------------| | claim_text | The exact sentence or phrase containing the statistic | | value | The numeric value (e.g., "42%", "$1.2M", "3x") | | attribution | Named source if present (e.g., "HubSpot", "Gartner 2025") | | url | Cited URL if present (from markdown link or parenthetical) | | location | Heading or line number where the claim appears | ### Step 3: Verify Cited Claims For each claim that includes a URL: 1. Fetch the source page via WebFetch 2. Search the returned content for the specific numeric value 3. If exact value found, check surrounding context matches the claim topic 4. Assign a confidence score (see Verification Scoring below) Process claims sequentially to avoid rate-limiting source sites. ### Step 4: Flag Uncited Claims For claims without a URL: - Mark status as UNVERIFIED - Suggest a search query the user can run to find a source - If the attribution names a specific organization, suggest their domain ### Step 5: Generate Verification Report Output the full results table, summ...