list-quality

Name: list-quality
Availability: InStock
Author: titta

Analyze CSV contact lists to score data quality and generate remediation checklists.

29|12|Updated Mar 30, 2026

Search Tags:#prospecting #enrichment #data-quality #lead-generation #outbound #csv-analysis

Ready to run

npx skills add https://github.com/matteotitta/genesys-skills --skill list-quality

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: list-quality
Source: https://github.com/matteotitta/genesys-skills/tree/main/skills/primitives/outbound/research/list-building/list-quality
Command: npx skills add https://github.com/matteotitta/genesys-skills --skill list-quality

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill prevents wasted budget and protects your sender reputation by identifying low-quality contact lists before you spend money on enrichment or send emails to invalid addresses.

Core Features & Use Cases

Mechanical Grading: Evaluates lists across 8 content-side dimensions including title relevance, ICP fit, and name quality.
Pre-Send Validation: Generates a scorecard with a letter grade and a prioritized checklist of issues to fix.
Use Case: Before running an expensive enrichment process on a new 5,000-row lead list, use this skill to ensure the data is clean and targeted, saving you from paying for invalid or irrelevant records.

Quick Start

Run the list-quality skill on the file named leads-q2.csv to generate a scorecard and pre-send checklist.

Frequently Asked Questions about list-quality

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

FAQPage Schema

How do I check lead list quality before paying for data enrichment?▼

To check lead list quality before data enrichment, use a CSV analysis tool to perform mechanical hygiene checks and content scoring. This validates ICP fit, title relevance, and data integrity, producing a scorecard and remediation checklist to prevent wasted spend on invalid records.

What is contact list grading and how does it protect my outbound email sender reputation?▼

Contact list grading is the process of evaluating lead generation outputs across multiple dimensions like name quality and ICP fit. It protects your outbound email sender reputation by identifying invalid or irrelevant addresses before sequence enrollment, preventing bounces and wasted budget.

Can I use a CSV file with standard contact fields for pre-send validation?▼

Yes, you can use a structured CSV file with standard contact fields for pre-send validation. The analysis operates directly on the CSV format to evaluate data integrity and title relevance, generating a comprehensive quality scorecard with a letter grade prior to enrollment.

How do I analyze a 5,000-row lead generation CSV to fix data hygiene issues?▼

To analyze a large lead generation CSV for data hygiene issues, run a quality grading process that evaluates eight content-side dimensions. This generates a prioritized checklist of issues to fix, ensuring your outbound prospecting data is clean and properly targeted.

What are the limitations of using mechanical grading for prospecting lists?▼

A limitation of mechanical grading for prospecting lists is that it requires a structured CSV input with standard contact fields to function properly. It focuses on pre-send validation and data integrity rather than actively enriching missing data or autonomously fixing records.