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.
npx agentmods add skills/mubit-ai/claude-plugins/dashboardnpx skills add mubit-ai/claude-plugins --skill dashboardgit clone --depth 1 https://github.com/mubit-ai/claude-pluginsWrote 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.
[](https://agentmods.dev/skills/mubit-ai/claude-plugins/dashboard)<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>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00038 | $0.01110 |
| Opus 5 | $0.00019 | $0.00555 |
| Sonnet 5 | $0.00008 | $0.00222 |
| Haiku 4.5 | $0.00004 | $0.00111 |
Grade A, and why
dashboard scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
This skill never installs anything. It starts one Node process from the plugin directory,
binds a random port on 127.0.0.1, and opens a browser at it. No packages, no services, no
changes to the user's shell.
disable-model-invocation: true is deliberate: this is a command a person types when they want
to look at something. Nothing in a conversation should decide, on its own, to open a web page.
Start it
node "${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 worksends 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.
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.
- 5d ago First seen · 87 lines · 38 tokens per session scan A 835b5982c67c
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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