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tell

Flag overused words, cliché phrases, and structural anomalies in AI-generated text.

6|1|Updated Jun 23, 2026
Search Tags:#text analysis#content validation#ai detection#language processing#prose evaluation
One-click install
npx skills add https://github.com/JGalego/Bag-of-Tricks --skill tell-jgalego
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: tell
Source: https://github.com/JGalego/Bag-of-Tricks/tree/main/tell
Command: npx skills add https://github.com/JGalego/Bag-of-Tricks --skill tell-jgalego

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps identify passages of text that are likely generated by AI, enabling you to spot the specific telltale signs of AI-generated prose.

Core Features & Use Cases

  • AI Prose Detection: Flag words, phrases, and structures indicative of AI-generated text.
  • Offline Scoring: Evaluate the "AI-written-ness" of text using an offline heuristic.
  • Model-based Scoring: Request a human-like assessment of the passage's readability from a model.
  • Use Case: If you receive a piece of content from an AI-generated source and want to ensure it's free from biases or inconsistencies, this Skill can help you diagnose whether the content is likely AI-generated.

Quick Start

Analyze the passage from the 'article.md' file for potential AI-generated text using the tell skill.

Frequently Asked Questions about tell

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I detect AI-generated prose in a document or blog post?▼

AI-generated text detection involves checking for overused words, cliché phrases, and structural anomalies. This Skill flags these specific giveaways to help you diagnose whether documents or blog posts contain machine-written content.

Can I evaluate AI-written text offline or do I need a model provider?▼

You can evaluate the "AI-written-ness" of text offline using a built-in heuristic. Model-based scoring is optional and requires configuring a provider like Anthropic, OpenAI, or Gemini for human-like readability assessment.

What specific structural anomalies indicate text was generated by AI?▼

Common indicators of AI-generated text include overused words, cliché phrases, and structural anomalies. The analysis flags these specific passages to pinpoint the exact telltale signs of machine-written prose in your content.

Does content validation for AI text require Python to run?▼

Yes, AI text content validation requires Python to execute the analysis scripts. Python is the core dependency needed to run both the offline heuristic evaluation and the optional model-based assessment modes.

What is the best way to check a markdown file for AI-generated content?▼

The best way to check a markdown file for AI-generated content is to run it through a text analysis script. This process flags specific giveaways like overused words and structural anomalies found in the document.

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