timeout-test

Detect timeouts in long-running tasks with configurable thresholds and backoff retries.

729|67|Updated Dec 8, 2025
One-click install
npx skills add https://github.com/joelhooks/swarm-tools --skill timeout-test
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: timeout-test
Source: https://github.com/joelhooks/swarm-tools/tree/main/packages/opencode-swarm-plugin/.test-skills-integration-1769386960151-kksi6i/.opencode/skill/timeout-test
Command: npx skills add https://github.com/joelhooks/swarm-tools --skill timeout-test

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill helps teams detect and gracefully handle operations that time out, ensuring tasks either complete with controlled fallbacks or fail safely without destabilizing workflows.

Core Features & Use Cases

  • Configurable timeouts: Set threshold durations for tasks and trigger graceful aborts or retries.
  • Backoff & retries: Implement exponential backoff to retry failed tasks without overloading systems.
  • Use Case: Apply to API calls, data processing jobs, or batch tasks that risk timeouts in automated pipelines.

Quick Start

To test the timeout behavior, create a task that exceeds the configured timeout and observe the graceful handling and retry logic.

Frequently Asked Questions about timeout-test

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

FAQPage Schema
How do I handle timeout detection and graceful aborts for long-running bash scripts?

Timeout detection for long-running bash scripts involves setting configurable threshold durations to trigger graceful aborts or retries. This ensures batch jobs or data processing tasks fail safely without destabilizing automated workflows when exceeding allotted time.

What is exponential backoff and how does it work for retrying failed API calls?

Exponential backoff for retrying failed API calls is a strategy that progressively increases the wait time between subsequent retries. It prevents overloading systems by applying controlled delays before attempting to execute timed-out tasks again.

Can I configure custom timeout thresholds for batch jobs and data processing tasks?

You can configure custom timeout thresholds for batch jobs and data processing tasks by setting specific duration limits. When operations exceed these configured thresholds, the workflow triggers a safe abort behavior or initiates a retry sequence.

What is the best way to implement graceful timeout handling in automated pipelines?

Graceful timeout handling in automated pipelines is best implemented by combining configurable timeout thresholds with exponential backoff strategies. This approach applies controlled fallbacks to API calls and batch jobs, ensuring they complete safely or fail without causing destabilization.

Why do long-running operations exceed allotted time and destabilize automated workflows?

Long-running operations exceed allotted time and destabilize workflows when data processing jobs or API calls lack configurable timeout thresholds. Without graceful abort behavior and backoff strategies, these stalled tasks continue holding resources and eventually cause system failures.