Home / mubit-ai / plugins · integrations/codex/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.

**Do not start it on your own initiative.** This is a command a person types when they want to
look at something; nothing in a conversation should decide by itself to open a web page. The
Claude Code copy of this skill enforces that with `disable-model-invocation: true`, a key Codex
does not read — so under this host the rule is this paragraph, and it is on you to keep it.

## Step 0 — resolve the binary

No environment variable carries this plugin's path under Codex. Codex lists each skill with the
absolute path of its `SKILL.md`; **this file** is at `<plugin-root>/skills/dashboard/SKILL.md`,
so the binary is two directories above it:

```
<plugin-root>/bin/dashboard.mjs
```

Resolve that to an absolute path from this file's own location and use it in every command
below. Do not write `${CLAUDE_PLUGIN_ROOT}`: Codex sets no plugin-root variable of any
spelling, so the shell expands it to nothing and `node /bin/dashboard.mjs` fails with ENOENT.

## Start it

```bash
…

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@sha256:70378bdf1f1966dd

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_ikfgnqenrf2ugufy.svg)](https://markdownregistry.com/a/art_ikfgnqenrf2ugufy)

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Versions

versioncommittedcommitsizeaudit
git:20260909.b8e67cc latest2026-09-09 b8e67cc 8,886 BA view · diff
git:20260908.530912b2026-09-08 530912b 7,830 BA view · diff
git:20260908.7a461482026-09-08 7a46148 6,343 BA view · diff
git:20260903.008c3052026-09-03 008c305 5,518 BA view · diff
git:20260823.3d76db92026-08-23 3d76db9 5,653 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 (8886 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_ikfgnqenrf2ugufy
GET https://markdownregistry.com/api/v1/resolve?ref=mubit-ai/plugins/dashboard
GET https://markdownregistry.com/api/v1/blob/70378bdf1f1966ddc89ebd0fd24cecf94f594b6f7f4ec70a982ac3f7cff4df74

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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