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Add Clidash

OrganizationPopular
nanocoai
add-clidash

Add clidash — a zero-dependency, read-only web dashboard that derives its tabs and tables at runtime from any CLI that lists resources as JSON. Ships pre-wired for NanoClaw's ncl CLI (agent groups, sessions, channels, users, roles), plus message-activity charts, a log tail, and a read-only file viewer for group skills/CLAUDE.md/profiles.

Overview

Publishernanocoai
Repositorynanoclaw
Skill nameadd-clidash
Stars
30.9K
Forks
12.8K
Bundled files
32
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.

  • 32 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 Clidash 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-clidash
  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-clidash .claude/skills/add-clidash
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Add Clidash 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 Clidash 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 Clidash 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-clidash — CLI-derived read-only dashboard

clidash is a small, read-only web dashboard. You point it at any CLI that can list resources as JSON (NanoClaw's ncl, docker, kubectl, …) and it builds the dashboard at runtime: one tab per resource, a generic table over whatever columns the rows have. A new ncl resource becomes a new tab and a new column becomes a new table column with zero code changes.

It ships pre-wired for NanoClaw's ncl CLI and adds three NanoClaw-aware panels driven entirely by config:

  • Agents overview — status cards joining groups + sessions + messaging groups + wirings (green <15m / amber <2h / red older).
  • Activity — per-session inbound/outbound message totals and a daily series, read directly from the session DBs (ncl has no messages resource).
  • Logs — last N lines of allowlisted host log files.
  • Files — a read-only viewer for group skills, CLAUDE.md, and profiles.

Why it's safe

clidash is read-only by construction: the server can only execFile the argv templates in its config. {resource} is the sole substitution and is allowlist-validated against the discovered/static resource set before exec — never a shell, no free-form input reaches argv. There is no auth; the network is the auth boundary — it binds 127.0.0.1 by default. Only ever bind a private interface (e.g. a tailnet IP), never a public one.

It's distinct from /add-dashboard (which pushes JSON snapshots to a separate @nanoco/nanoclaw-dashboard npm package): clidash has zero dependencies, no build step, no push pipeline, and no edits to NanoClaw source — it just reads ncl and the session DBs.

Steps

1. Copy the tool into place

clidash is fully self-contained — copy the whole directory in:

tools/ is not a standard NanoClaw directory and cp -R won't create it, so make it first:

bash
mkdir -p tools
cp -R .claude/skills/add-clidash/add/tools/clidash tools/clidash

That is the only file change this skill makes. Nothing in NanoClaw src/ is touched, no dependency is added.

2. Create the config

The example config is pre-wired for NanoClaw with paths relative to the repo root, so it works as-is when you run clidash from tools/clidash/:

bash
cd tools/clidash
cp clidash.config.example.json clidash.config.json

clidash.config.json is your local config — add it to .gitignore if you don't want to commit install-specific paths:

bash
echo 'tools/clidash/clidash.config.json' >> ../../.gitignore

The example assumes ncl is built at bin/ncl. If bin/ncl doesn't exist, build it first (pnpm run build) or point clis.ncl.bin at the right path.

3. Test

Tests use a stub CLI — no real ncl or docker needed:

bash
npm test

All tests should pass (Node ≥ 22.5, node:test, zero dependencies).

4. Run and verify

bash
node server.js          # serves http://127.0.0.1:4690

In another shell, confirm it's live and that ncl discovery worked:

bash
curl -s http://127.0.0.1:4690/api/clis | head -c 400      # CLIs + discovered resources
curl -s http://127.0.0.1:4690/api/r/ncl/groups | head -c 400   # a real resource table

Then open http://127.0.0.1:4690/ in a browser. You should see the Agents overview plus a tab per ncl resource.

5. (Optional) Run as a service

clidash binds 127.0.0.1 by default. To reach it from other devices, bind a private (e.g. tailnet) IP via the BIND env var or bind in config — never a public interface.

ini
# ~/.config/systemd/user/clidash.service   (Linux)
[Unit]
Description=clidash read-only CLI dashboard

[Service]
WorkingDirectory=%h/nanoclaw/tools/clidash
ExecStart=/usr/bin/node %h/nanoclaw/tools/clidash/server.js
Environment=BIND=127.0.0.1
Restart=on-failure

[Install]
WantedBy=default.target
bash
systemctl --user enable --now clidash

On macOS, wrap node server.js (with WorkingDirectory = tools/clidash) in a launchd plist the same way the main NanoClaw service is configured.

Configuration reference

clidash.config.json keys (see tools/clidash/README.md and clidash.config.example.json for the full shape):

KeyPurpose
port, bind, refreshSecondsserver bind + UI auto-refresh cadence
clis.<name>.bin / cwd / envhow to invoke the CLI (bin is relative to cwd)
clis.<name>.discover or resourcesruntime discovery (ncl help) vs a static resource list
clis.<name>.listargv template; {resource} is the only substitution
clis.<name>.outputjson or jsonlines (docker/kubectl style)
clis.<name>.unwrapdot-path into a response envelope (e.g. data)
clis.<name>.enrich/badges/summarytable decorations (ID→name joins, status colors, summary cards)
activitysessionsRoot + days for the message-activity charts
logsdir, tailLines, and an allowlist of files to tail
docsfile viewer: root, a deny glob list, and collections of glob patterns

Adding a second CLI is config-only — e.g. docker is included as a jsonlines example. View plugins (views/<cli>-<view>.js) are the only per-CLI code and are optional.

Troubleshooting

  • ENOENT / config not found — run from tools/clidash/ and make sure you copied clidash.config.example.json to clidash.config.json (step 2), or set CLIDASH_CONFIG=/abs/path.json.
  • No ncl resources / discovery empty — bin/ncl isn't built or the path is wrong. Build it (pnpm run build) or fix clis.ncl.bin.
  • docker tab errors — the docker daemon isn't running, or remove the docker CLI from config if you don't need it.
  • Can't reach it from another device — it binds 127.0.0.1; set BIND=<private-ip> (tailnet), never a public interface.
  • Empty Activity/Logs/Files — check that activity.sessionsRoot, logs.dir, and docs.root resolve to your NanoClaw root (relative to where you launch node server.js).

Removal

See REMOVE.md.

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 Clidash AI skill do?

Add clidash — a zero-dependency, read-only web dashboard that derives its tabs and tables at runtime from any CLI that lists resources as JSON. Ships pre-wired for NanoClaw's ncl CLI (agent groups, sessions, channels, users, roles), plus message-activity charts, a log tail, and a read-only file viewer for group skills/CLAUDE.md/profiles.

Why use Add Clidash on TypingMind?

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

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

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 Clidash?

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

Is the Add Clidash 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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