How does this help with OpenCode swarms?

It allows developers to test how agents handle delays, ensuring that issue tracking and task management systems function correctly under stress.

Is this skill part of the swarm-tools repository?

Yes, it is an integrated part of the joelhooks/swarm-tools framework, specifically designed to provide robust testing capabilities for agent coordination.

Can I use this for unit testing?

While primarily optimized for swarm integration, it can be used to validate any Claude Code workflow that requires specific timeout handling logic or error-state simulation.

Does it require additional configuration?

It works natively within the Claude Code environment and interfaces with the swarm-tools plugin architecture to manage agent behavior.

What is the Timeout Test skill?

It is a specialized utility for Claude Code designed to simulate and manage timeout scenarios in multi-agent swarm environments.

Timeout Integration Tester

Name: Timeout Integration Tester
Author: joelhooks

byjoelhooks

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359

Seguridad y Pruebas

Simulates and validates timeout scenarios within multi-agent swarm environments to ensure robust error handling and agent resilience.

Acerca de

The Timeout Test skill is a specialized utility designed for developers working with the OpenCode swarm coordination framework. It provides a controlled mechanism to trigger and manage timeout events, allowing teams to verify how multi-agent systems respond to latency and process delays. By integrating this skill into Claude Code, users can effectively test automated recovery protocols, agent issue tracking, and management workflows within the swarm-tools ecosystem, ensuring that complex AI agent swarms remain stable even when individual components fail to respond in time.

Características Principales

Simulates agent-level timeout events
Tests automated recovery and retry protocols
359 GitHub stars
Integrates with OpenCode agent issue tracking
Validates swarm coordination under high-latency conditions
Supports stress testing for multi-agent workflow management

Casos de Uso

Testing agent resilience when network latency causes process timeouts
Debugging swarm-tools issue tracking during simulated system delays
Ensuring robust task hand-off during agent execution failures

Acerca de

Características Principales

Simulates agent-level timeout events
Tests automated recovery and retry protocols
359 GitHub stars
Integrates with OpenCode agent issue tracking
Validates swarm coordination under high-latency conditions
Supports stress testing for multi-agent workflow management

Casos de Uso

Testing agent resilience when network latency causes process timeouts
Debugging swarm-tools issue tracking during simulated system delays
Ensuring robust task hand-off during agent execution failures