dashboard

dashboard is a command for Claude Code from nicholaspsmith/Glancey. It costs 10 tokens per session (75 once invoked), scanned A, original, MIT.

A command that opens the Glancey dashboard, a browser page for viewing Glancey information.

In plain words
What is it for?
It is for launching the dashboard and returning the address where it is running.
Why use it?
It avoids having to locate or open the dashboard URL manually.

Command for Claude Code

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 commands/nicholaspsmith/glancey/dashboard
Clone the repo
git clone --depth 1 https://github.com/nicholaspsmith/Glancey

Made for: Claude Code.

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/commands/nicholaspsmith/glancey/dashboard.svg)](https://agentmods.dev/commands/nicholaspsmith/glancey/dashboard)
Your own site
<a href="https://agentmods.dev/commands/nicholaspsmith/glancey/dashboard"><img src="https://agentmods.dev/badge/commands/nicholaspsmith/glancey/dashboard.svg" alt="Measured on agentmods" height="20"></a>
Per session 10 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 75 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 $0.00010 $0.00075
Opus 5 $0.00005 $0.00037
Sonnet 5 $0.00002 $0.00015
Haiku 4.5 $0.00001 $0.00007

Measured 4d ago against content hash 7f10bd426695, 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 4d 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.

.claude/commands/dashboard.md · 9 lines

What it actually says

Open the glancey dashboard using the mcp__glancey__open_dashboard tool with force: true to bypass the cooldown.

The tool will return the actual URL where the dashboard is running (port may vary if 24300 is already in use by another instance).

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. 4d ago First seen · 9 lines · 10 tokens per session scan A 7f10bd426695

Subscribe to this mod's changes

dashboard is a command published in the GitHub repository nicholaspsmith/Glancey (1 stars, last pushed 6d ago), licensed MIT. It adds 10 tokens to every session and 75 once invoked, about $0.0001 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 2026-08-31.