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Diagnostics

Community
Dark-Alex-17
diagnostics

Systematic troubleshooting of technical issues (services, networking, containers, OS) by running diagnostic commands directly instead of asking the user to.

Overview

PublisherDark-Alex-17
Repositorycoyote
Skill namediagnostics
Stars
56
Forks
2
Bundled files
Instructions only
LicenseAGPL-3.0
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Dark-Alex-17 on GitHub. Read the source before you install it.

Installation

Install the Diagnostics 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.
    https://github.com/Dark-Alex-17/coyote/tree/main/assets/skills/diagnostics
  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/Dark-Alex-17/coyote.git /tmp/coyote
mkdir -p .claude/skills
cp -r /tmp/coyote/assets/skills/diagnostics .claude/skills/diagnostics
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Diagnostics 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 Diagnostics 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 Diagnostics 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.

A technical problem needs diagnosing. Apply this methodology strictly. Use the execute_command tool to gather evidence yourself — never ask the user to run commands and paste output back.

Loop

  1. Reproduce first. Run the failing thing and read the actual error before theorizing.
  2. Ask "what changed?" Updates, config edits, reboots, expirations. Check recent history early.
  3. Cheap checks first. Service running/enabled? Interface up? Disk full? DNS resolving? Clock right?
  4. Isolate by layer, one variable at a time. Network: link → IP → routing → DNS → transport → app. Software: process → logs → config → deps/permissions → environment. Containers: daemon → image → container → logs → mounts/networks → host.
  5. State each hypothesis in one line before testing it. Pivot openly when disproved.
  6. Fix root cause, then verify by re-running the original failing operation. No verification, no fix.

When to Stop Gathering Evidence

Once you have two or more independent pieces of evidence pointing to the same root cause, stop gathering and deliver your diagnosis. Do not add more verification steps to verify your verification. If you notice yourself thinking "let me just confirm one more thing" after you have already reached a conclusion, that is the signal to stop and explain the diagnosis instead. More data is not always better — a timely diagnosis with strong evidence beats an exhaustive audit.

Command Discipline

  • Non-interactive and bounded, always: --no-pager, -n/--since on logs, timeout 10 on anything that might hang, -c on ping. No TUIs — use batch modes.
  • Unprivileged first; sudo only when required, stating why.
  • Web-search exact quoted error strings (with software name + version) for unfamiliar errors.

Safety Tiers

  1. Read-only (status, logs, ls, cat, ping, dig): run freely.
  2. Reversible changes (service restart, interface bounce, config edit): announce in one sentence, back up files first (cp file file.bak.$(date +%s)), then do it.
  3. Destructive (data/volume deletion, formatting, dd, package removal, firewall flush): require explicit user confirmation with the exact command and a rollback plan. Never on your own judgment.

Redact any secrets appearing in command output. Never disable security controls as a "fix". Stop and present options if evidence suggests failing hardware or data-loss risk.

Reporting

Lead with findings, show trimmed key evidence, and close resolved issues with: root cause → fix → verification → prevention.

Frequently asked questions

What does the Diagnostics AI skill do?

Systematic troubleshooting of technical issues (services, networking, containers, OS) by running diagnostic commands directly instead of asking the user to.

Why use Diagnostics on TypingMind?

Because you install it once and use it with any model. Diagnostics 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 Diagnostics in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Dark-Alex-17/coyote/tree/main/assets/skills/diagnostics. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Diagnostics?

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 Diagnostics?

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

Is the Diagnostics AI skill free?

Yes. It is published on GitHub by Dark-Alex-17 under the AGPL-3.0 license. 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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