Add Rtk logo

Add Rtk

OrganizationPopular
nanocoai
add-rtk

Install rtk token-compression proxy into agent containers. Routes Bash tool calls through rtk for 60–90% token savings on dev commands (git, cargo, pytest, docker, kubectl, etc.).

Overview

Publishernanocoai
Repositorynanoclaw
Skill nameadd-rtk
Stars
30.9K
Forks
12.8K
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 nanocoai on GitHub. Read the source before you install it.

Installation

Install the Add Rtk 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/nanocoai/nanoclaw/tree/main/.claude/skills/add-rtk
  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/nanocoai/nanoclaw.git /tmp/nanoclaw
mkdir -p .claude/skills
cp -r /tmp/nanoclaw/.claude/skills/add-rtk .claude/skills/add-rtk
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Add Rtk 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 Add Rtk 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 Add Rtk 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.

Add rtk

Install rtk — a CLI proxy delivering 60–90% token savings on common dev commands (git, cargo, pytest, docker, kubectl, etc.) — and wire it transparently into agent containers via the Claude Code PreToolUse hook.

What this sets up

  • rtk binary at ~/.local/bin/rtk on the host
  • ~/.local/bin/rtk mounted read-only at /usr/local/bin/rtk inside the target agent group's containers
  • PreToolUse hook in the agent group's settings.json so every Bash call is automatically filtered through rtk — no CLAUDE.md instructions needed

Integration tests

This skill has no in-tree integration test by design. Its only functional reach-ins are runtime operator actions — the host-only ncl groups config add-mount (Step 3) and the settings.json PreToolUse hook write (Step 4) — neither of which leaves a line in the source tree whose deletion a test could catch. There are no package dependencies or Dockerfile edits to guard either. Conformance is idempotent apply + REMOVE.md; the mount and hook are verified at runtime (see Verify).

Step 1 — Install rtk on the host

bash
curl -fsSL https://raw.githubusercontent.com/rtk-ai/rtk/refs/heads/master/install.sh | sh

If the script put the binary elsewhere, move it:

bash
find ~/.local ~/.cargo/bin ~/bin -name rtk 2>/dev/null
mv "$(which rtk 2>/dev/null)" ~/.local/bin/rtk

Verify:

bash
~/.local/bin/rtk --version
chmod +x ~/.local/bin/rtk   # if needed

Step 2 — Identify the target agent group

bash
ncl groups list

Note the group ID (e.g. ag-1776342942165-ptgddd). Repeat Steps 3–5 for each group.

Step 3 — Mount rtk into the container config

Mount the host rtk binary read-only into the container with the host-only add-mount verb. It is idempotent — re-running skips the entry if it is already present:

bash
ncl groups config add-mount --id <group-id> \
  --host ~/.local/bin/rtk \
  --container /usr/local/bin/rtk \
  --ro

This verb is operator-only and runs host-side (via /setup, /customize, or /manage-mounts); it is rejected from inside a container.

The host root (~/.local/bin) must also be in the external mount allowlist at ~/.config/nanoclaw/mount-allowlist.json for the mount to take effect at spawn. Add it there if it isn't already.

Verify:

bash
ncl groups config get --id <group-id>
# Look for the /usr/local/bin/rtk mount

Step 4 — Add the PreToolUse hook to settings.json

Each agent group has a settings.json at:

data/v2-sessions/<group-id>/.claude-shared/settings.json

This file is mounted at /home/node/.claude/settings.json inside the container and is read by Claude Code for hooks, env, and model config.

Add the PreToolUse entry with jq. This drops any existing rtk Bash hook first, then appends a fresh one, so it is safe to re-run without creating duplicates:

bash
SETTINGS="data/v2-sessions/<group-id>/.claude-shared/settings.json"

jq '.hooks.PreToolUse = ((.hooks.PreToolUse // [])
      | map(select((.hooks // []) | any(.command == "rtk hook claude") | not)))
    + [{"matcher":"Bash","hooks":[{"type":"command","command":"rtk hook claude"}]}]' \
  "$SETTINGS" > /tmp/rtk-settings.json && mv /tmp/rtk-settings.json "$SETTINGS"

Step 5 — Restart the container

bash
ncl groups restart --id <group-id>

Verify

Confirm the binary is executable inside the container so a missing or non-executable mount surfaces immediately rather than as a silent hook failure:

bash
docker exec "$(docker ps --filter "name=<group-id>" --format '{{.Names}}' | head -1)" rtk --version

Then ask the agent to run git status or any other supported command. rtk intercepts it silently. Check savings with:

bash
~/.local/bin/rtk gain

Troubleshooting

rtk: command not found inside the container

Mount wasn't applied or container wasn't restarted:

bash
ncl groups config get --id <group-id>
# Look for the /usr/local/bin/rtk mount
ncl groups restart --id <group-id>

Hook not firing

Verify the hook is in settings.json:

bash
jq '.hooks.PreToolUse' data/v2-sessions/<group-id>/.claude-shared/settings.json

If missing, re-run Step 4.

Binary won't execute — permission denied

bash
chmod +x ~/.local/bin/rtk

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 Add Rtk AI skill do?

Install rtk token-compression proxy into agent containers. Routes Bash tool calls through rtk for 60–90% token savings on dev commands (git, cargo, pytest, docker, kubectl, etc.).

Why use Add Rtk on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nanocoai/nanoclaw/tree/main/.claude/skills/add-rtk. 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 Add Rtk?

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 Add Rtk?

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

Is the Add Rtk AI skill free?

Yes. It is published on GitHub by nanocoai 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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