Guard

Organization

Ruya-AI

guard

Protect Claude Code sessions from context overflow by running a background daemon that monitors session size and auto-prunes before compaction hits. Use when the user says "guard", "protect session", "context getting long", "prevent compaction", "session management", or is running agent teams that need continuous context protection.

Overview

Publisher	Ruya-AI
Repository	`cozempic`
Skill name	`guard`
Stars	425
Forks	39
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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 Ruya-AI on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/Ruya-AI/cozempic/tree/main/plugin/skills/guard
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.

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/Ruya-AI/cozempic.git /tmp/cozempic
mkdir -p .claude/skills
cp -r /tmp/cozempic/plugin/skills/guard .claude/skills/guard

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Guard 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 Guard 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 Guard 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.

Start the cozempic guard daemon for continuous session protection.

Default (recommended)

bash
cozempic guard --daemon --threshold 50 -rx standard --interval 30

This runs in the background and:

Checkpoints team state every 30 seconds
At 60% of threshold (30MB): applies gentle prune, no reload
At threshold (50MB): applies full prescription + auto-reload with team state preserved

For agent teams

Guard mode is essential for sessions running agent teams. Without it, auto-compaction triggers and the lead agent loses team state (TeamCreate, SendMessage, tasks are discarded).

Options

--threshold N — hard threshold in MB (default: 50)
--soft-threshold N — soft threshold in MB (default: 60% of hard)
--threshold-tokens N — hard threshold in tokens (fires whichever hits first)
--no-reload — prune without restarting Claude
--no-reactive — disable kqueue/polling file watcher
-rx NAME — prescription at hard threshold (default: standard)

Check status and stop

The daemon writes to /tmp/cozempic_guard_*.log. Check with:

bash
ls /tmp/cozempic_guard_*.pid 2>/dev/null        # is it running?
tail -20 /tmp/cozempic_guard_*.log 2>/dev/null   # recent activity
kill "$(cat /tmp/cozempic_guard_*.pid)"           # stop it

Frequently asked questions

What does the Guard AI skill do?

Why use Guard on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Ruya-AI/cozempic/tree/main/plugin/skills/guard. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Guard?

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 Guard?

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

Is the Guard AI skill free?

Yes. It is published on GitHub by Ruya-AI 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Default (recommended)

For agent teams

Options

Check status and stop

Frequently asked questions

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