productivity-skill intermediate active

Linux Service Triage

A failed systemd service at 2am means hours of log diving. Manual journal scanning misses root causes buried in noise. Let OpenClaw read the logs and diagnose the failure.

What breaks without openclaw linux triage skill

2am service failures. Manual journalctl digging. Root causes buried in log noise.

Automated Linux service diagnosis × journal log analysis ÷ 10–20 minutes ÷ no root cause guesswork = faster incident resolution.

openclaw linux triage skill — what it actually does

01
Diagnose any failing systemd service by name in a single command.
02
Read journalctl logs and identify root causes automatically.
03
Receive fix recommendations with each triage report.
04
Escalate triage reports to ops channels without manual write-up.
05
Enable DEBUG logging in failing services for richer analysis.

Security check — openclaw linux triage skill

Privacy score: 7/10 — accesses connected platform APIs only. Lock it: review OAuth scopes before install, confirm Linux with systemd; OpenClaw ≥1.0 compatibility.

Quick start — openclaw linux triage skill in 10–20 minutes

Setup time: 10–20 minutes

!
You need:
  • OpenClaw core
  • Linux with systemd
  • sudo access

Install the package:

# Install via ClawhHub
clawhub install kowl64/linux-service-triage
1
Install the skill
2
Run /triage <service-name> to start analysis
3
OpenClaw reads journalctl logs and diagnoses the failure
4
Apply suggested fixes or escalate the report

Troubleshooting openclaw linux triage skill

1
1. Some log reads require sudo — run OpenClaw with appropriate permissions
2
2. Triage quality depends on log verbosity — enable DEBUG logging in failing services

Compatibility & status

Works with: Linux with systemd; OpenClaw ≥1.0 intermediate Last updated: Nov 2025 ★ 105 on GitHub MIT

Official docs →

View on GitHub →

Related — more like openclaw linux triage skill

The next service failure will cost you hours without automated triage. Install before your next on-call shift and cut resolution time in half.

Get it on GitHub →