Blog Analyzer: Quality Audit & Scoring

Scores blog posts on a 0-100 scale across 5 categories and provides prioritized improvement recommendations. Includes AI content detection analysis. Works with local files or published URLs.

Reference documents (paths from repo root):

• skills/blog/references/quality-scoring.md: full scoring checklist
• skills/blog/references/eeat-signals.md: E-E-A-T evaluation criteria
• skills/blog/references/ai-slop-detection.md: two-tier reflex methodology (v1.8.0)
• skills/blog/references/editorial-heuristics.md: ordinal 0-4 rubric, P0-P3 severity (v1.8.0, used with --rubric)
• skills/blog/references/cognitive-load.md: per-section concept density (v1.8.0, used with --cognitive-load)

Input Handling

• Local file: Read the file directly
• URL: Fetch with WebFetch, extract content
• Directory: Scan for blog files, audit all (batch mode)
• Flags: --format json|table, --batch, --sort score, --rubric, --cognitive-load