warp-scan

Parse Elastic diagnostic files to produce a structured current-state profile.

1|Updated Apr 15, 2026

Search Tags:#architecture #security #diagnostic #ml #cluster-health #elastic #current-state

Ready to run

npx skills add https://github.com/ajmeyers42/loom --skill warp-scan

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: warp-scan
Source: https://github.com/ajmeyers42/loom/tree/main/skills/warp-scan
Command: npx skills add https://github.com/ajmeyers42/loom --skill warp-scan

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Skill parses Elastic diagnostic data to generate a structured current-state profile that downstream skills can consume, enabling rapid assessment and demo planning.

Core Features & Use Cases

Parses diagnostic ZIPs and individual JSON exports to extract cluster health, node details, indices, ILM, security, and ML configurations.
Produces three artifacts: a machine-readable current-state JSON, a human-readable architecture summary, and an internal findings report mapping issues to Elastic features.
Supports risk assessment and demo readiness decisions for Elastic demos (e.g., ML, semantic search, ILM, resilience).

Quick Start

Provide a diagnostic package (ZIP or API exports) to generate a current-state report for deployment planning.

Frequently Asked Questions about warp-scan

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

FAQPage Schema

How do I parse Elastic diagnostic files to understand my cluster health?▼

Parse Elastic diagnostic files by processing diagnostic ZIPs or individual JSON API exports to extract cluster health, node details, indices, ILM, ML, and security configurations into a structured current-state profile.

What is the best way to generate an architecture summary from an Elastic diagnostic ZIP?▼

Generating an architecture summary from an Elastic diagnostic ZIP involves extracting cluster configurations to produce a human-readable overview alongside a machine-readable current-state JSON and an internal findings report.

Can I use individual API exports instead of a full diagnostic ZIP to assess Elastic deployment readiness?▼

Yes, you can use individual API exports instead of a full diagnostic ZIP. The parsing process supports both formats to extract cluster details and guide deployment readiness and demo scoping.

Does the diagnostic parser extract ILM and ML configurations for feature readiness checks?▼

The diagnostic parser does extract ILM and ML configurations. It processes these settings from Elastic exports to map identified issues against Elastic features for risk assessment and demo readiness.

How do I map Elastic cluster issues to specific Elastic features for remediation?▼

Map Elastic cluster issues to specific features by generating an internal findings report. This report links extracted diagnostic data regarding security, indices, and cluster health to downstream Elastic features.