Home / mubit-ai / plugins · integrations/claude-code/skills/dashboard/SKILL.md · GitHub

dashboard skillA

dashboard is agent-read markdown (skill) from mubit-ai/plugins: Open the local Mubit dashboard — turns, what was injected into each, what it earned, and every lesson's record; use when the user wants to look, not ask..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

**This skill never installs anything.** It starts one Node process from the plugin directory,
binds a random port on `127.0.0.1`, and opens a browser at it. No packages, no services, no
changes to the user's shell.

`disable-model-invocation: true` is deliberate: this is a command a person types when they want
to look at something. Nothing in a conversation should decide, on its own, to open a web page.

## Start it

```bash
node "${CLAUDE_PLUGIN_ROOT}/bin/dashboard.mjs"
```

That prints a URL and tries to open it. The output is the whole report — pass it on verbatim
rather than paraphrasing it, because the URL carries the token and a retyped one will not work.

| Exit | Meaning | What to tell the user |
| --- | --- | --- |
| `0` | Running. The URL is in the output. | Give them the URL. If a browser did not open, they can paste it. |
| `1` | It did not come up inside the launch window. | Re-run it with `--foreground`, which keeps the server in this process and prints why it failed instead of detaching. |

Add `--no-open` when there is no browser to open — over SSH or in a container — and `--json`
when the result is going to be parsed rather than read.

## What it shows
…

Read the whole file at its exact version.

How to install

Latest version
mdr add mubit-ai/plugins/dashboard@git:20260909.b8e67cc
Exact content
mdr add mubit-ai/plugins/dashboard@sha256:c02ea195cdbf748f

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_l2mrv2jpuwekaevn.svg)](https://markdownregistry.com/a/art_l2mrv2jpuwekaevn)

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Versions

versioncommittedcommitsizeaudit
git:20260909.b8e67cc latest2026-09-09 b8e67cc 8,276 BA view · diff
git:20260908.530912b2026-09-08 530912b 6,753 BA view · diff
git:20260908.7a461482026-09-08 7a46148 5,471 BA view · diff
git:20260903.008c3052026-09-03 008c305 4,624 BA view · diff
git:20260827.c1fb7d32026-08-27 c1fb7d3 4,674 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (8276 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

mubit-ai/plugins · 3 stars · license Apache-2.0 · pushed 2026-09-24 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_l2mrv2jpuwekaevn
GET https://markdownregistry.com/api/v1/resolve?ref=mubit-ai/plugins/dashboard
GET https://markdownregistry.com/api/v1/blob/c02ea195cdbf748f3ed3204bb8fc136b64e3f76b24095ea4fb663bdf5c981e77

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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