prauto-run-heartbeat

Name: prauto-run-heartbeat
Availability: InStock
Author: selhorys

Run .prauto/heartbeat.sh in Claude Code and monitor logs with retries.

15|Updated Feb 8, 2026

Search Tags:#automation #testing #claude-code #workflow-orchestration #retries #heartbeat #log-monitoring

Ready to run

npx skills add https://github.com/selhorys/dataspoke-baseline --skill prauto-run-heartbeat

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: prauto-run-heartbeat
Source: https://github.com/selhorys/dataspoke-baseline/tree/main/.claude/skills/prauto-run-heartbeat
Command: npx skills add https://github.com/selhorys/dataspoke-baseline --skill prauto-run-heartbeat

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables automated testing and monitoring of the prauto heartbeat workflow, diagnosing issues and applying fixes when failures occur.

Core Features & Use Cases

End-to-end heartbeat validation: runs .prauto/heartbeat.sh in a Claude Code session, monitors progress, and captures artifacts.
Robust monitoring & retries: observes persistent logs at /tmp/prauto-heartbeat.log, handles lock contention, and retries on failure with guided diagnostics.
QA, CI & debugging use cases: ideal for local development, automated pipelines, and incident post-mortems to ensure heartbeat reliability.

Quick Start

Run the prauto heartbeat test in a Claude Code session to verify lifecycle, logs, and automatic retries.

Frequently Asked Questions about prauto-run-heartbeat

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

FAQPage Schema

How do I automate end-to-end testing for heartbeat workflow scripts?▼

Heartbeat workflow testing is automated by running the heartbeat script in a Claude Code session, monitoring progress, and capturing artifacts to validate the entire lifecycle. This ensures reliability across local and cloud environments.

How do I monitor persistent logs and handle lock contention for automated tasks?▼

Persistent log monitoring observes logs at /tmp/prauto-heartbeat.log to handle lock contention and retries on failure with guided diagnostics. This captures real-time execution state without manual log tailing.

Can I use Claude Code for CI validation and debugging automated pipelines?▼

Claude Code supports CI validation and debugging by running automated test sessions for heartbeat tasks. It is ideal for local development, automated pipelines, and incident post-mortems to ensure task reliability.

What is the best way to apply retries and failure-analysis for workflow orchestration?▼

Workflow orchestration retries apply guided failure-analysis by monitoring persistent logs, managing lock contention, and capturing structured artifacts. This provides defined diagnostic steps when automated heartbeat tasks fail.

Why does log redaction matter when running automated heartbeat monitoring?▼

Log redaction matters during heartbeat monitoring because it safely removes sensitive environment data before capturing structured artifacts. This satisfies strict environment control requirements for CI validation and debugging.

Does automated heartbeat testing work across local and cloud environments?▼

Automated heartbeat testing works across local and cloud environments by applying environment control, lock management, and structured artifact outputs. This ensures consistent workflow orchestration validation anywhere it runs.