pihole-csv-analyzer

Analyze Pi-hole CSV exports to generate blocklist and allowlist candidates.

14|2|Updated Apr 24, 2026

Search Tags:#pattern detection #csv analysis #pihole #data cleanup #domain allowlist #dns queries #domain blocklist

Ready to run

npx skills add https://github.com/mickpletcher/AI-Skills --skill pihole-csv-analyzer

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: pihole-csv-analyzer
Source: https://github.com/mickpletcher/AI-Skills/tree/main/claude/skills/pihole-csv-analyzer
Command: npx skills add https://github.com/mickpletcher/AI-Skills --skill pihole-csv-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Pi-hole CSV exports can be hard to interpret, so this skill helps you convert them into clear, reviewable cleanup recommendations instead of manual guesswork.

Core Features & Use Cases

CSV export analysis for actionable findings: Identifies blocked vs allowed patterns, top domains, and noisy clients from common Pi-hole export formats (query log, top domains, top clients, blocklist/adlist).
Review queue generation: Produces candidate blocklist and allowlist domain lists for you to inspect before making changes.
Evidence-aligned interpretation: Maps query-log status values to Pi-hole’s documented meanings and flags unknown status values instead of guessing.

Quick Start

Upload a Pi-hole CSV export and ask for a review of candidate domains to block and allow.

Frequently Asked Questions about pihole-csv-analyzer

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

FAQPage Schema

How do I analyze Pi-hole CSV exports to find domains for my blocklist and allowlist?▼

You can analyze Pi-hole CSV exports by uploading query logs or domain dumps to generate candidate blocklist and allowlist domain lists for review. The skill identifies blocked versus allowed patterns and top domains for cleanup guidance.

What do Pi-hole DNS query log status codes mean when reviewing CSV data?▼

Pi-hole DNS query log status codes are mapped to their documented meanings during CSV analysis. The tool flags unknown status values instead of guessing, ensuring evidence-aligned interpretation of your DNS query data.

Can I use this CSV analyzer with Pi-hole top clients and adlist dump exports?▼

Yes, the CSV analyzer works with common Pi-hole export formats including query logs, top domains, top clients dashboards, and blocklist or adlist dumps to identify noisy clients and generate cleanup recommendations.

Does Pi-hole CSV analysis require manual header detection for different export types?▼

No manual header detection is needed. The analysis applies automatic CSV header and type detection to process various Pi-hole export formats and generate in-chat findings along with blocklist and allowlist candidate lists.

What is the best way to clean up noisy DNS domains from Pi-hole query logs?▼

The best way to clean up noisy DNS domains is to analyze query log CSV exports for blocked versus allowed patterns, generating evidence-based candidate domain lists to block or allow before making changes.