Doctor logo

Doctor

CommunityPopular
alsk1992
doctor

System health diagnostics and troubleshooting

Overview

Publisheralsk1992
RepositoryCloddsBot
Skill namedoctor
Stars
2.8K
Forks
336
Bundled files
1
LicenseMIT
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.

  • 1 bundled files

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

  • Open source

    Published by alsk1992 on GitHub. Read the source before you install it.

Installation

Install the Doctor 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/alsk1992/CloddsBot.git /tmp/CloddsBot
mkdir -p .claude/skills
cp -r /tmp/CloddsBot/src/skills/bundled/doctor .claude/skills/doctor
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Doctor 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 Doctor 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 Doctor 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.

Doctor - Complete API Reference

Run system diagnostics, check health status, and troubleshoot issues.


Chat Commands

Health Checks

/doctor                                     Run all diagnostics
/doctor quick                               Quick health check
/doctor full                                Full diagnostic scan
/doctor <component>                         Check specific component

Component Checks

/doctor system                              OS, memory, disk
/doctor node                                Node.js version, memory
/doctor network                             Connectivity tests
/doctor api                                 API key validation
/doctor database                            Database connection
/doctor channels                            Channel health

Status

/health                                     Quick health status
/status                                     System status overview
/status verbose                             Detailed status

TypeScript API Reference

Create Doctor Service

typescript
import { createDoctorService } from 'clodds/doctor';

const doctor = createDoctorService({
  // Checks to run
  checks: ['system', 'node', 'network', 'api', 'database', 'channels'],

  // Thresholds
  thresholds: {
    memoryWarning: 80,    // % memory usage
    memoryCritical: 95,
    diskWarning: 80,      // % disk usage
    diskCritical: 95,
    latencyWarning: 1000, // ms
    latencyCritical: 5000,
  },

  // Timeout
  timeoutMs: 30000,
});

Run Diagnostics

typescript
// Run all checks
const report = await doctor.runDiagnostics();

console.log(`Overall: ${report.status}`);  // 'healthy' | 'degraded' | 'unhealthy'
console.log(`Checks passed: ${report.passed}/${report.total}`);

for (const check of report.checks) {
  const icon = check.status === 'pass' ? '✓' : check.status === 'warn' ? '⚠' : '✗';
  console.log(`${icon} ${check.name}: ${check.message}`);
  if (check.details) {
    console.log(`  ${JSON.stringify(check.details)}`);
  }
}

Run Specific Check

typescript
// Check system resources
const system = await doctor.checkSystem();

console.log(`OS: ${system.os} ${system.version}`);
console.log(`CPU: ${system.cpuUsage}%`);
console.log(`Memory: ${system.memoryUsage}% (${system.memoryUsedGB}/${system.memoryTotalGB} GB)`);
console.log(`Disk: ${system.diskUsage}% (${system.diskUsedGB}/${system.diskTotalGB} GB)`);

Check Node.js

typescript
const node = await doctor.checkNode();

console.log(`Node.js: ${node.version}`);
console.log(`Heap: ${node.heapUsed}/${node.heapTotal} MB`);
console.log(`RSS: ${node.rss} MB`);
console.log(`Uptime: ${node.uptime} seconds`);

Check Network

typescript
const network = await doctor.checkNetwork();

console.log(`Internet: ${network.internet ? 'Connected' : 'Disconnected'}`);
console.log(`DNS: ${network.dns ? 'Working' : 'Failed'}`);

for (const [endpoint, result] of Object.entries(network.endpoints)) {
  console.log(`${endpoint}: ${result.reachable ? 'OK' : 'Failed'} (${result.latencyMs}ms)`);
}

Check API Keys

typescript
const api = await doctor.checkApiKeys();

for (const [provider, status] of Object.entries(api)) {
  console.log(`${provider}: ${status.valid ? 'Valid' : 'Invalid'}`);
  if (status.error) {
    console.log(`  Error: ${status.error}`);
  }
  if (status.quota) {
    console.log(`  Quota: ${status.quota.used}/${status.quota.limit}`);
  }
}

Check Database

typescript
const db = await doctor.checkDatabase();

console.log(`Connected: ${db.connected}`);
console.log(`Latency: ${db.latencyMs}ms`);
console.log(`Version: ${db.version}`);
console.log(`Tables: ${db.tables}`);
console.log(`Size: ${db.sizeMB} MB`);

Check Channels

typescript
const channels = await doctor.checkChannels();

for (const channel of channels) {
  console.log(`${channel.name}: ${channel.status}`);
  if (channel.error) {
    console.log(`  Error: ${channel.error}`);
  }
  console.log(`  Connected: ${channel.connected}`);
  console.log(`  Last message: ${channel.lastMessage}`);
}

Format Report

typescript
// Get formatted report
const report = await doctor.runDiagnostics();
const formatted = doctor.formatReport(report);

console.log(formatted);
// Outputs nicely formatted diagnostic report

Diagnostic Checks

CheckWhat it Tests
systemOS, CPU, memory, disk
nodeNode.js version, heap, memory
networkInternet, DNS, API endpoints
apiAPI key validity and quotas
databaseConnection, latency, schema
channelsChannel connections, health
mcpMCP server connections
dependenciesnpm packages, versions

Status Levels

StatusMeaning
healthyAll checks pass
degradedSome warnings, still functional
unhealthyCritical failures, action needed

Check Results

ResultMeaning
passCheck succeeded
warnWarning threshold exceeded
failCritical failure
skipCheck skipped (not applicable)

CLI Commands

bash
# Run all diagnostics
clodds doctor

# Quick check
clodds doctor --quick

# Check specific component
clodds doctor --check system

# JSON output
clodds doctor --json

Common Issues

High Memory Usage

⚠ Memory: 85% used

Solution: Restart the service or increase available memory

API Key Invalid

✗ Anthropic API: Invalid key

Solution: Check ANTHROPIC_API_KEY in .env

Database Connection Failed

✗ Database: Connection refused

Solution: Check DATABASE_URL and ensure PostgreSQL is running

Channel Disconnected

⚠ Telegram: Disconnected

Solution: Check TELEGRAM_BOT_TOKEN and network connectivity


Best Practices

  1. Run regularly — Check health daily or after changes
  2. Monitor trends — Watch for gradual degradation
  3. Set alerts — Alert on unhealthy status
  4. Fix warnings — Don't wait for failures
  5. Review before deploy — Run doctor before production changes

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 Doctor AI skill do?

System health diagnostics and troubleshooting

Why use Doctor on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/alsk1992/CloddsBot/tree/main/src/skills/bundled/doctor. 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 Doctor?

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 Doctor?

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

Is the Doctor AI skill free?

Yes. It is published on GitHub by alsk1992 under the MIT 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇