dashboard SKILL.md skillA

dashboard from amd-agi/hyperloom is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add amd-agi/hyperloom/dashboard@git:20261105.0d95dc2

Pins git:20261105.0d95dc2 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
amd-agi/hyperloom
Path
src/hyperloom_arbor/.claude/skills/dashboard/SKILL.md
Versions recorded
1
Latest version
git:20261105.0d95dc2, committed Nov 5, 2026
Size
6,495 bytes
Repository stars
262
License
a license file GitHub does not identify

Watch Arbor campaigns in a browser. Local mode shows one campaign live, collected over ssh where its agents run; global mode shows every campaign on the shared volume by project, user and campaign, with each one's last snapshot and what it learned. Use when asked to watch, monitor or show a campaign or all campaigns, to see a campaign's phase, iteration and verdicts at a glance, or to browse what other campaigns pushed.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Dashboard: one campaign live, or every campaign on the share

Audience: whoever runs or follows Arbor campaigns. The server is
[`arbor/dashboard/server.mjs`](../../../arbor/dashboard/server.mjs) (Node 16 or
later, no dependencies); its README has the files, routes, what changed from
the earlier dashboard it was ported from, and troubleshooting. The data comes from
the collectors (`realtime-collector`, `knowledge-collector` skills).

The server runs on your machine, binds to `127.0.0.1` only, and runs
read-only commands over ssh with `BatchMode`. It never writes on a host or the
share, and never samples a GPU node.

## Which mode

| You want | Mode |
| --- | --- |
| every campaign, anyone's, by project; a campaign whose host you cannot reach; what a campaign learned | global |
| your campaign, live, straight from its host (before its realtime collector is set up, or when the share is down) | local |

## Global mode: everything on the share

```bash
node arbor/dashboard/server.mjs global          # http://localhost:8767
```

- Needs the `arbor-share` ssh alias (the `realtime-collector` skill, "Once per
  person"). `--share-host`, `--share-root` (or `ARBOR_SHARE_HOST`,
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add amd-agi/hyperloom/dashboard@sha256:58b3d437df9576fe

The line at the top of this page pins the label git:20261105.0d95dc2, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_36zxqumjkwqitlid.svg)](https://markdownregistry.com/a/art_36zxqumjkwqitlid)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Nov 5, 2026.

versioncommittedcommitsizeaudit
git:20261105.0d95dc2 latest2026-11-05 0d95dc2 6,495 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the 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 (6495 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

amd-agi/hyperloom · 262 stars · license a license file GitHub does not identify · pushed 2026-11-06 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_36zxqumjkwqitlid
GET https://markdownregistry.com/api/v1/resolve?ref=amd-agi/hyperloom/dashboard
GET https://markdownregistry.com/api/v1/blob/58b3d437df9576fe318611e33d7b66e087bdc9740fad52a4c2aaf73058db328a

Your AI assistant 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.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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