realtime-collector SKILL.md skillA
realtime-collector from amd-agi/hyperloom is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add amd-agi/hyperloom/realtime-collector@git:20261105.0d95dc2Pins 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/realtime-collector/SKILL.md- Versions recorded
- 1
- Latest version
- git:20261105.0d95dc2, committed Nov 5, 2026
- Size
- 7,545 bytes
- Repository stars
- 262
- License
- a license file GitHub does not identify
Push an Arbor campaign's live state (phase, iteration in flight, verdicts, baseline and best, the log's tail) to the shared volume every minute, where the dashboard's global mode and other people read it, and set up the ssh access to the share that it needs. Use when starting or restarting a campaign, when a campaign is missing from the share or its snapshot is stale, or when asked to make a campaign visible to others.
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
# Realtime collector: a campaign's live state, on the share
Audience: whoever starts an Arbor campaign, or keeps one running. The
collector is `python3 -m arbor.collect realtime` (`arbor/collect/`, standard
library only). What a campaign learned, as opposed to where it stands, is the
`knowledge-collector` skill; reading either is the `dashboard` skill.
## What it does
Every `--interval` seconds (60 by default) it reads, from files on the host the
campaign runs on:
- `session.json`: iteration, baseline, best, every verdict, STOP and ABORTED
files;
- the campaign's stdout log (`--log`): the phase (agent working, warmup,
measured replay, critic, gate), the iteration in flight, gate lines,
supervisor restarts, and whether an `arbor run` process is alive on this host;
- baseline records (`--results`, `*baseline*.json`), an event log
(`--events`), and the target the config states (`--config`).
It writes `status.json` and `meta.json` to `<session>/collector/realtime/`, and
pushes both to the share:
```text
/path/to/arbor-share/projects/<project>/<user>/<campaign>/realtime/{status.json,meta.json}
```
…Read the whole file at its exact version.
How to install
mdr add amd-agi/hyperloom/realtime-collector@sha256:fe6930f8460e88dcThe 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.
[](https://markdownregistry.com/a/art_bqyfzwly5xcv7fgo)
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Versions
The registry has recorded 1 version of this file, committed on Nov 5, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (7545 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
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_bqyfzwly5xcv7fgo GET https://markdownregistry.com/api/v1/resolve?ref=amd-agi/hyperloom/realtime-collector GET https://markdownregistry.com/api/v1/blob/fe6930f8460e88dca5c9e46c743d0e9a146c20a0ff1cf706e2fb4d54eb173ccf
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.