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Linux Service Triage

Community
viralcode
linux-service-triage

Diagnoses common Linux service issues using logs, systemd/PM2, file permissions, Nginx reverse proxy checks, and DNS sanity checks. Use when a server app is failing, unreachable, or misconfigured.

Overview

Publisherviralcode
Repositoryopenwhale
Skill namelinux-service-triage
Stars
65
Forks
11
Bundled files
2
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by viralcode on GitHub. Read the source before you install it.

Installation

Install the Linux Service Triage AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/viralcode/openwhale.git /tmp/openwhale
mkdir -p .claude/skills
cp -r /tmp/openwhale/skills/linux-service-triage .claude/skills/linux-service-triage
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Linux Service Triage in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Linux Service Triage on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Linux Service Triage is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Linux & service basics: logs, systemd/PM2, permissions, Nginx reverse proxy, DNS checks

PURPOSE

Diagnoses common Linux service issues using logs, systemd/PM2, file permissions, Nginx reverse proxy checks, and DNS sanity checks.

WHEN TO USE

  • TRIGGERS:
    • Show me why this service is failing using logs, then give the exact fix commands.
    • Restart this app cleanly and confirm it is listening on the right port.
    • Fix the permissions on this folder so the service can read and write safely.
    • Set up Nginx reverse proxy for this port and verify DNS and TLS are sane.
    • Create a systemd service for this script and make it survive reboots.
  • DO NOT USE WHEN…
    • You need kernel debugging or deep performance profiling.
    • You want to exploit systems or bypass access controls.

INPUTS

  • REQUIRED:
    • Service type: systemd unit name or PM2 process name.
    • Observed symptom: error message, status output, or logs (pasted by user).
  • OPTIONAL:
    • Nginx config snippet, domain name, expected upstream port.
    • Filesystem paths used by the service.
  • EXAMPLES:
    • systemctl status myapp output + journalctl excerpt
    • Nginx server block + domain + upstream port

OUTPUTS

  • Default: triage report (likely cause, evidence from logs, minimal fix plan).
  • If explicitly requested and safe: exact shell commands to apply the fix. Success = service runs, listens on expected port, and reverse proxy/DNS path is correct.

WORKFLOW

  1. Confirm scope and safety:
    • identify service name and whether changes are permitted.
  2. Gather evidence:
    • status output + recent logs (see references/triage-commands.md).
  3. Classify failure:
    • config error, dependency missing, permission denied, port conflict, upstream unreachable, DNS mismatch.
  4. Propose minimal fix + verification steps.
  5. Validate network path (if web service):
    • app listens → Nginx proxies → DNS resolves → (TLS sanity if applicable).
  6. Provide restart/reload plan and confirm health checks.
  7. STOP AND ASK THE USER if:
    • logs/status output are missing,
    • actions require privileged access not confirmed,
    • TLS/cert management is required but setup is unknown.

OUTPUT FORMAT

text
TRIAGE REPORT
- Symptom:
- Evidence (what you provided):
- Most likely cause:
- Fix plan (minimal steps):
- Exact commands (ONLY if user approved changes):
- Verification:
- Rollback:

SAFETY & EDGE CASES

  • Read-only by default: diagnose from provided outputs; do not assume you can run commands.
  • Avoid destructive changes; require explicit confirmation for anything risky.
  • Prefer nginx -t before reload and verify ports with ss.

EXAMPLES

  • Input: “journal shows permission denied on /var/app/uploads.”
    Output: path permission analysis + safe chown/chmod plan + verification.

  • Input: “App works locally but domain returns 502.”
    Output: upstream port checks + nginx error log interpretation + proxy_pass fix plan.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Linux Service Triage AI skill do?

Diagnoses common Linux service issues using logs, systemd/PM2, file permissions, Nginx reverse proxy checks, and DNS sanity checks. Use when a server app is failing, unreachable, or misconfigured.

Why use Linux Service Triage on TypingMind?

Because you install it once and use it with any model. Linux Service Triage is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Linux Service Triage in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/viralcode/openwhale/tree/main/skills/linux-service-triage. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Linux Service Triage?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Linux Service Triage?

As many as you like. As long as a model supports skills, you can use Linux Service Triage with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Linux Service Triage AI skill free?

It is published on GitHub by viralcode. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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