distributed-validators

Monitor Obol distributed validator clusters via the Obol API.

10|1|Updated Mar 19, 2025
One-click install
npx skills add https://github.com/ObolNetwork/obol-stack --skill distributed-validators
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: distributed-validators
Source: https://github.com/ObolNetwork/obol-stack/tree/main/internal/embed/skills/distributed-validators
Command: npx skills add https://github.com/ObolNetwork/obol-stack --skill distributed-validators

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill allows users to monitor the health, performance, and exit status of distributed validator (DV) clusters managed by Obol, without needing direct access to the underlying infrastructure.

Core Features & Use Cases

  • Cluster Health Monitoring: Check the overall status and operational integrity of DV clusters.
  • Validator Performance: Track individual validator effectiveness scores to identify potential issues.
  • Operator Status: View operator reputation, badges, and their participation in exit coordination.
  • Exit Coordination: Monitor the progress of validator exits, including how many operators have signed.
  • Use Case: A user wants to know if their Obol distributed validator cluster is performing well and if their validators are on track to exit. They can use this Skill to query the Obol API for effectiveness scores and exit status summaries.

Quick Start

Check the health and effectiveness of the distributed validator cluster identified by the lock hash '0x4d6e7f8a9b...'.

Frequently Asked Questions about distributed-validators

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

FAQPage Schema
How do I monitor the health of an Obol distributed validator cluster?

Monitor Obol distributed validator cluster health by querying the Obol API via curl to retrieve operational integrity and health status metrics. You can look up clusters using a lock hash, config hash, or operator address to get detailed insights without direct infrastructure access.

How do I track validator performance and effectiveness scores in a DVT cluster?

Track validator performance in a DVT cluster by querying the Obol API for individual validator effectiveness scores. This identifies potential operational issues and provides insights into how well your distributed validators are performing over time.

Can I check the status of validator exits and operator signatures in Obol?

Yes, you can check validator exit coordination status in Obol by retrieving exit progress summaries from the API. This monitors how many operators have signed off on validator exits, ensuring your distributed validators are on track to exit properly.

What do I need to query Obol DVT cluster metrics using this approach?

You need curl for API interaction and Python for parsing API responses to query Obol DVT cluster metrics. This lightweight setup allows you to retrieve network-wide statistics and operator reputation data without needing direct access to the underlying validator infrastructure.

Does monitoring distributed validators this way require direct node access?

No, monitoring distributed validators via the Obol API does not require direct access to the underlying infrastructure. You retrieve cluster health, operator status, and exit coordination data remotely using standard API calls with curl and Python.