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Install Watchdog

Community
athola
install-watchdog

Installs egregore watchdog daemon via launchd or systemd for autonomous relaunching. Use when setting up egregore on a new machine. Do not use on CI/CD runners.

Overview

Publisherathola
Repositoryclaude-night-market
Skill nameinstall-watchdog
Stars
343
Forks
37
Bundled files
Instructions only
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.

  • Self-contained

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

  • Open source

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

Installation

Install the Install Watchdog 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/athola/claude-night-market/tree/master/plugins/egregore/skills/install-watchdog
  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/athola/claude-night-market.git /tmp/claude-night-market
mkdir -p .claude/skills
cp -r /tmp/claude-night-market/plugins/egregore/skills/install-watchdog .claude/skills/install-watchdog
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Install Watchdog 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 Install Watchdog 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 Install Watchdog 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.

Install Watchdog

Overview

Installs a persistent daemon that monitors the egregore process and relaunches it when needed. The daemon uses the OS-native scheduler (launchd on macOS, systemd on Linux) to run a watchdog script every 5 minutes.

The watchdog script checks:

  • Whether an egregore session is already running.
  • Whether the budget is in cooldown.
  • Whether there are active work items in the manifest.

If all conditions are met, it launches a new egregore session.

When To Use

  • After initializing an egregore project (egregore init) when you want autonomous relaunching.
  • When setting up egregore on a new machine.

When NOT To Use

  • On CI/CD runners (use the orchestrator directly).
  • When you want manual control over session launches.

Installation Steps

1. Detect the operating system

bash
OS=$(uname -s)

2. Run the appropriate installer

macOS (launchd):

bash
bash plugins/egregore/scripts/install_launchd.sh

This script creates a plist at ~/Library/LaunchAgents/com.egregore.watchdog.plist that runs the watchdog script every 300 seconds (5 minutes).

Linux (systemd):

bash
bash plugins/egregore/scripts/install_systemd.sh

This script creates a systemd timer and service unit at ~/.config/systemd/user/ that fires every 5 minutes.

3. Verify installation

macOS:

bash
launchctl list | grep egregore

Expected output: a line containing com.egregore.watchdog with a PID or - status.

Linux:

bash
systemctl --user status egregore-watchdog.timer

Expected output: active (waiting) status.

4. Confirm to the user

Report the installation result, the schedule interval, and the log file location:

  • macOS: ~/.egregore/watchdog.log
  • Linux: journalctl --user -u egregore-watchdog

Uninstall Command

To remove the watchdog, run:

Skill(egregore:uninstall-watchdog)

Or invoke the uninstall skill directly via the command /egregore:uninstall-watchdog.

Troubleshooting

  • Permission denied on plist: ensure the script runs as the current user, not root.
  • systemd user session not available: run loginctl enable-linger $USER to enable user services without an active login session.
  • Watchdog not firing: check the log output and verify the scheduler is loaded (launchctl list or systemctl --user list-timers).

Exit Criteria

  • On macOS: ~/Library/LaunchAgents/com.egregore.watchdog.plist exists after the install script completes
  • On Linux: ~/.config/systemd/user/egregore-watchdog.timer exists after the install script completes
  • Verification command confirms daemon is loaded: launchctl list | grep egregore returns a line (macOS), or systemctl --user status egregore-watchdog.timer shows active (waiting) (Linux)
  • Schedule interval (300 seconds / 5 minutes) and log file path reported to the user after installation
  • If permission denied occurs, the error is reported with the remediation step (run as current user, not root)

Frequently asked questions

What does the Install Watchdog AI skill do?

Installs egregore watchdog daemon via launchd or systemd for autonomous relaunching. Use when setting up egregore on a new machine. Do not use on CI/CD runners.

Why use Install Watchdog on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/athola/claude-night-market/tree/master/plugins/egregore/skills/install-watchdog. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Install Watchdog?

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 Install Watchdog?

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

Is the Install Watchdog AI skill free?

Yes. It is published on GitHub by athola 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.

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