Check Patcher API service health and diagnose Linux deployment failures.
npx skills add https://github.com/liquidz00/Patcher --skill api-ops
Please help me install this Agent Skill. Skill: api-ops Source: https://github.com/liquidz00/Patcher/tree/main/.claude/skills/api-ops Command: npx skills add https://github.com/liquidz00/Patcher --skill api-ops
This Skill helps you verify whether the Patcher API service is running correctly, identify broken systemd or cloudflared components, and diagnose the most common Linux deployment failures without making any changes.
Ask the api-ops skill to check the Patcher API health and explain any failures it finds.
High-intent search queries and answers about installing and using this skill.
To check the health of your Patcher API service on Linux, perform a read-only status sweep that inspects the systemd service, cloudflared tunnel, timers, endpoints, SQLite database state, and disk usage to identify any deployment failures.
A systemd service restart loop with a missing KEYRING_BACKEND error indicates a known deployment failure signature. You can diagnose this by inspecting the service logs and verifying the environment configuration to triage the permission or keyring issue.
To troubleshoot SQLite database locking issues in your API deployment, inspect the database state and service logs to identify locking conflicts. This helps determine if permission problems or concurrent access are causing the deployment failure.
Yes, you can diagnose cloudflared tunnel connectivity problems without modifying your Linux host by running read-only health checks. This involves inspecting endpoint availability and identifying ingress mismatches in the tunnel configuration.
The best way to triage a Patcher API deployment failure is to analyze systemd and cloudflared logs for known issues like restart loops, database locking, and missing environment variables, translating these into concrete operational next steps.
The API health check process requires awareness of deploy-token gating within the service layout. While the checks are read-only, understanding the token gating is necessary to accurately verify endpoint accessibility and service behavior.
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