splunk-analyzer

Name: splunk-analyzer
Availability: InStock
Author: srsubramanian

Run Splunk queries and analyze exported log data with Python scripts.

Updated Dec 30, 2025

Search Tags:#automation #devops #logs #analysis #query #splunk

Ready to run

npx skills add https://github.com/srsubramanian/splunk-analyzer-skill --skill splunk-analyzer

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: splunk-analyzer
Source: https://github.com/srsubramanian/splunk-analyzer-skill/tree/main/.github/skills/splunk-analyzer
Command: npx skills add https://github.com/srsubramanian/splunk-analyzer-skill --skill splunk-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the process of running Splunk queries, exporting the results, and analyzing them for insights, saving users time and effort in data investigation.

Core Features & Use Cases

Automated Splunk Queries: Run custom SPL queries based on natural language requests.
Data Export: Export search results in raw format for further processing.
Result Analysis: Analyze exported data for event counts, error patterns, field distributions, and anomalies.
Use Case: When encountering an issue, you can ask the AI to "search Splunk for payment-service errors in the last hour and analyze the results for top error patterns."

Quick Start

Use the splunk-analyzer skill to search Splunk for 'error rates' and analyze the results.

Frequently Asked Questions about splunk-analyzer

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

FAQPage Schema

How do I automate Splunk queries and analyze exported log data?▼

You can automate Splunk queries by configuring your SPLUNK_URL and asking the AI to run custom SPL searches based on natural language requests. The Skill exports the search results and analyzes the log data for event counts and field distributions.

How does Splunk log analysis work for finding error rates and event patterns?▼

Splunk log analysis works by running custom SPL queries to export raw search results, then processing that data to identify event counts, error patterns, field distributions, and anomalies. This helps pinpoint issues like top error patterns in specific services.

Can I run natural language Splunk searches for specific service errors?▼

Yes, you can run natural language Splunk searches for specific service errors by requesting queries like 'payment-service errors in the last hour'. The Skill translates this into automated Splunk searches and analyzes the exported results for top error patterns.

Do I need to configure a specific Splunk URL to use this query automation tool?▼

Yes, you need to configure a specific Splunk URL as an environment variable to use this query automation tool. Setting up the SPLUNK_URL is required for the Skill to connect to your Splunk instance and execute the automated searches.

What is the best way to analyze Splunk results for field distributions and anomalies?▼

The best way to analyze Splunk results for field distributions and anomalies is to export the search results in raw format and process them with Python scripts. This approach reveals event counts, error patterns, and data anomalies within the logs.

Does Splunk query automation work with Chrome DevTools for data export?▼

Yes, Splunk query automation works with Chrome DevTools MCP to facilitate running searches and exporting log data. This integration allows the Skill to automate the extraction of raw search results for subsequent Python-based analysis.