What types of files can the analyzer process?

The tool accepts Markdown and plain text files. It automatically strips frontmatter, HTML, and formatting to ensure the analysis focuses purely on the prose.

How does the Blog Voice Analyzer detect AI patterns?

It runs 18 independent NLP checks, including sentence length variance, POS-based opener diversity, nominalization density, and a list of over 85 common AI-marker hedge phrases and signal words.

Can this skill analyze content from different AI models?

Yes, it includes a benchmark script that can generate and score content from various models like Claude Sonnet, Haiku, and GPT-4 to compare their natural writing performance.

What is a good target score for my content?

For professional blog content that reads naturally, aim for an overall score of 80 or higher with zero high-severity flagged sentences.

Does it work with short-form content like tweets?

The analyzer is optimized for articles over 300 words. Statistical measures like vocabulary diversity and sentence variance require a minimum volume of text to provide reliable scores.

Blog Voice Analyzer

Name: Blog Voice Analyzer
Author: Abhi5415

byAbhi5415

0•

Marketing Automation

Analyzes blog content for AI-sounding patterns and provides actionable NLP-based rewrite suggestions to improve human-like readability.

The Blog Voice Analyzer is a sophisticated diagnostic tool designed to help content creators bridge the gap between machine-generated text and natural human writing. By evaluating articles across 18 independent metrics—including sentence length variance, nominalization density, and the presence of AI-specific 'hedge phrases'—this skill identifies exactly where a piece of content feels robotic. It provides a weighted 'Human Score' and flags specific sentences with high-severity issues, allowing users to optimize their blog posts for Google's helpful content signals and ensure a genuine, engaging brand voice.

Key Features

01Built-in benchmarking tool to compare content quality across different AI models

02Multi-category analysis covering structural patterns, vocabulary choice, voice, and micro-patterns

030 GitHub stars

04Detailed sentence-level diagnostics flagging vague verbs, passive voice, and repetitive openers

05Weighted scoring system (0-100) based on 18 distinct NLP metrics to measure human-ness

06Actionable improvement guide for fixing low personality, readability, and vocabulary scores

Use Cases

01Training writing teams to avoid common AI linguistic signatures and cliches

02Auditing existing web content to remove academic jargon and improve conversational readability

03Reviewing AI-generated blog drafts to ensure they pass quality standards before publication

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add abhi5415/clarido-marketing blog-voice-analyzer

For use in Claude.ai and ChatGPT

Key Features

01Built-in benchmarking tool to compare content quality across different AI models

02Multi-category analysis covering structural patterns, vocabulary choice, voice, and micro-patterns

030 GitHub stars

04Detailed sentence-level diagnostics flagging vague verbs, passive voice, and repetitive openers

05Weighted scoring system (0-100) based on 18 distinct NLP metrics to measure human-ness

06Actionable improvement guide for fixing low personality, readability, and vocabulary scores

Use Cases

01Training writing teams to avoid common AI linguistic signatures and cliches

02Auditing existing web content to remove academic jargon and improve conversational readability

03Reviewing AI-generated blog drafts to ensure they pass quality standards before publication