dashboard

dashboard is a skill for Claude Code, Codex from mubit-ai/claude-plugins. It costs 38 tokens per session (1,110 once invoked), scanned A, original, Apache-2.0.

A local web dashboard for browsing and searching Mubit lessons, reviewing the recall cost per prompt, and checking ingestion health. It runs only on the same computer and opens in a browser.

In plain words
What is it for?
Use it to start the dashboard, view its report, and choose options such as foreground mode, no browser opening, or JSON output.
Why use it?
It gives a person a way to inspect Mubit data and health without installing packages, adding services, or changing shell settings.

Skill for Claude CodeCodex

Installs and runs on its own, but its text points at files inside its plugin — anything it tells you to read at a ${CLAUDE_PLUGIN_ROOT} path is only there once the plugin is installed. Installing the plugin gets both.

Part of the mubit-memory plugin — 13 skills, 1 agent, 13 hooks, 1 MCP server shipped together

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/mubit-ai/claude-plugins/dashboard
Any agent
npx skills add mubit-ai/claude-plugins --skill dashboard
Clone the repo
git clone --depth 1 https://github.com/mubit-ai/claude-plugins

Made for: Claude Code, Codex.

Or install mubit-memory, the plugin that ships this one along with the rest of its 13 skills, 1 agent, 13 hooks, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for dashboard

README.md
[![agentmods](https://agentmods.dev/badge/skills/mubit-ai/claude-plugins/dashboard.svg)](https://agentmods.dev/skills/mubit-ai/claude-plugins/dashboard)
Your own site
<a href="https://agentmods.dev/skills/mubit-ai/claude-plugins/dashboard"><img src="https://agentmods.dev/badge/skills/mubit-ai/claude-plugins/dashboard.svg" alt="Measured on agentmods" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,110 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00038 $0.01110
Opus 5 $0.00019 $0.00555
Sonnet 5 $0.00008 $0.00222
Haiku 4.5 $0.00004 $0.00111

Measured 5d ago against content hash 835b5982c67c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

dashboard scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

integrations/claude-code/skills/dashboard/SKILL.md · 87 lines

How it starts

The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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

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

Three tabs, joining two sources that have never been joined before:

  • Memory — every lesson the instance holds, across every run by default, filterable instantly and searchable properly. Each lesson shows its scope, and there is a filter for the ones visible outside the run that wrote them, which is the question nothing else in the plugin answers. One-click Worked / Did not work sends an outcome; deletion requires typing the lesson id. Activity mode shows the raw feed, which is fetched compactly and carries no scope — the scope and project filters switch off there and say so.
  • Turns — one row per prompt: which rung recall used, how many memories it injected, what they cost in tokens, and how many were repeats rendered as a pointer. This is the local half, read from runs/<run_id>/turns/.
  • Analytics — the same numbers as a trend, plus spool depth, ingest counts and breaker state.

Read the full file on GitHub · 87 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 87 lines · 38 tokens per session scan A 835b5982c67c

Subscribe to this mod's changes

dashboard is a skill published in the GitHub repository mubit-ai/claude-plugins (13 stars, last pushed today), licensed Apache-2.0. It adds 38 tokens to every session and 1,110 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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