blog-analyze
Audit and score blog posts on a 5-category 100-point scoring system covering content quality, SEO optimization, E-E-A-T signals, technical elements, and AI citation readiness. Includes AI content detection (burstiness, phrase flagging, vocabulary diversity). Supports export formats (markdown, JSON, table) and batch analysis with sorting. Generates prioritized recommendations (Critical/High/Medium/Low) with specific fixes. Works with any format (MDX, markdown, HTML, URL). Use when user says "analyze blog", "audit blog", "blog score", "check blog quality", "blog review", "rate this blog", "blog
npx skills add Infrasity-Labs/dev-gtm-claude-skills --skill blog-analyze --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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` ### Optional Modes (v1.8.0) - `--rubric`: in addition to the 100-point score, emit the ordinal 0-4 editorial-heuristics rubric with P0-P3 severity tags. See `skills/blog/references/editorial-heuristics.m
- Input Handling
- Optional Modes (v1.8.0)
- Scoring Process
- Step 1: Content Extraction
- Step 2: Score Each Category
- Step 3: AI Content Detection
- Step 4: Determine Rating
- Step 4.5: Optional Ordinal Rubric (--rubric)
- Step 4.6: Optional Cognitive Load Heatmap (--cognitive-load)
- Step 5: Generate Report
- Export Formats
- Default: Markdown Report
- JSON Export (--format json)
- Table Export (--format table)
What does the blog-analyze skill do?
Audit and score blog posts on a 5-category 100-point scoring system covering content quality, SEO optimization, E-E-A-T signals, technical elements, and AI citation readiness. Includes AI content detection (burstiness, phrase flagging, vocabulary diversity). Supports export formats (markdown, JSON, table) and batch analysis with sorting. Generates prioritized recommendations (Critical/High/Medium/Low) with specific fixes. Works with any format (MDX, markdown, HTML, URL). Use when user says "analyze blog", "audit blog", "blog score", "check blog quality", "blog review", "rate this blog", "blog
How do I install it?
Run `npx skills add Infrasity-Labs/dev-gtm-claude-skills --skill blog-analyze --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From Infrasity-Labs/dev-gtm-claude-skills, a repository with 97 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.