ai-tells-validator

Flag and rewrite AI-sounding text in cold-outbound copy using regex rules.

20|1|Updated May 17, 2026
One-click install
npx skills add https://github.com/crimeacs/ai-tells-validator --skill ai-tells-validator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-tells-validator
Source: https://github.com/crimeacs/ai-tells-validator/tree/main
Command: npx skills add https://github.com/crimeacs/ai-tells-validator --skill ai-tells-validator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Flags and rewrites AI-sounding text in cold-outbound copy, marketing drafts, and other prose to preserve reader trust.

Core Features & Use Cases

  • Live, current rule sets derived from the Wikipedia Signs of AI writing article plus a hardcoded augmentation for SaaS-pitch tells.
  • Deterministic regex-based enforcement of tells with a prefetch policy that refreshes on every run.
  • Two CLIs — validate to find tells and rewrite to clean a draft until it passes — suitable for outbound campaigns, LinkedIn messages, and blog drafts.

Quick Start

Run ai-tells-validate on a draft to identify AI tells and obtain a JSON report.

Frequently Asked Questions about ai-tells-validator

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

FAQPage Schema
How do I detect AI-sounding text in cold-outbound copy before sending?

To detect AI-sounding text in cold-outbound copy, you can run a validation check against a live rule set. The tool flags AI-like tells in emails, social messages, and blogs by applying deterministic regex enforcement and prefetching the Wikipedia Signs of AI writing catalog.

What is the best way to rewrite marketing drafts to remove AI tells?

The best way to rewrite marketing drafts and remove AI tells is using a specialized rewrite operation that cleans text until it passes validation. This process enforces deterministic regex rules to strip AI-like phrasing from outbound copy, landing pages, and blogs, preserving reader trust.

How does regex validation identify AI writing tells in SaaS-pitch copy?

Regex validation identifies AI writing tells by enforcing deterministic rules derived from the Wikipedia Signs of AI writing article and a hardcoded augmentation for SaaS-pitch copy. This rule set is prefetched and refreshed on every run to catch current AI-like phrasing in marketing drafts.

Can I use this tool to validate LinkedIn messages and blog drafts?

Yes, you can validate LinkedIn messages and blog drafts. The tool provides two command-line interfaces, validate and rewrite, specifically designed to identify and clean AI tells in cold-outbound campaigns, social messages, and blog drafts.

What are the limitations of using regex to flag AI-generated text?

The limitation of using regex to flag AI-generated text is that it relies on deterministic pattern matching rather than probabilistic AI detection. It enforces a fixed rule set derived from Wikipedia and hardcoded SaaS-pitch augmentations, meaning it catches known structural tells but may miss novel AI phrasing.

Do I need a specific environment to run the AI tells validator and rewriter?

You need an environment that supports script execution to run the AI tells validator and rewriter. The tool consists of script components that execute command-line operations, prefetching live Wikipedia catalog data before every run to enforce validation and rewriting rules.