colab-remote SKILL.md skillB

colab-remote from broomva/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add broomva/skills/colab-remote@git:20260628.9edbf07

Pins git:20260628.9edbf07 in mdr.lock. Pin the fingerprint instead.

Audit grade
B, 16 of 17 checks passed
Kind
SKILL.md skill
Repository
broomva/skills
Path
skills/compute/colab-remote/SKILL.md
Versions recorded
1
Latest version
git:20260628.9edbf07, committed Jun 28, 2026
Size
6,219 bytes
Repository stars
5
License
MIT

Orchestrate Google Colab Pro/Pro+ GPU instances as remote training backends via SSH. Compounds /agent-browser (to launch Colab sessions and install colab-ssh) with SSH (to operate the runtime remotely). Use when: (1) launching a Colab notebook for GPU training, (2) running training jobs on Colab from the local terminal, (3) transferring datasets/checkpoints to/from Colab, (4) monitoring GPU utilization on a Colab instance, (5) integrating Colab GPU compute with /autoany EGRI optimization…

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

# Colab Remote — SSH-Operated GPU Training

Operate Google Colab Pro/Pro+ instances as headless GPU backends from the local terminal.

## Architecture

```
Local Mac (Claude Code)
  ├── agent-browser → Chrome → colab.research.google.com
  │   └── Opens notebook, runs colab-ssh setup cell
  ├── SSH tunnel → Colab runtime (via ngrok or cloudflared)
  │   └── Run training, monitor GPU, transfer files
  └── /autoany EGRI loop (local)
      └── Proposes mutations → SSH executes on Colab → evaluates results
```

## Phase 1: Launch Colab Session (Browser Automation)

Use `/agent-browser` to open Colab and set up SSH access.

### Step 1: Open Colab and create notebook

```bash
agent-browser open "https://colab.research.google.com/#create=true"
agent-browser wait --load networkidle
agent-browser snapshot -i
```

If login is required, prompt the user to authenticate manually, then re-snapshot.

### Step 2: Select GPU runtime

Navigate Runtime > Change runtime type, select GPU (T4/V100/A100 depending on plan), and save.

### Step 3: Install colab-ssh and get connection details

Type the SSH setup code into a cell. Two methods supported:

**Method A: ngrok (recommended)**

```python
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add broomva/skills/colab-remote@sha256:b47b3f7c180db4c2

The line at the top of this page pins the label git:20260628.9edbf07, 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_fx5gvjv47bvzbmbd.svg)](https://markdownregistry.com/a/art_fx5gvjv47bvzbmbd)

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

Versions

The registry has recorded 1 version of this file, committed on Jun 28, 2026.

versioncommittedcommitsizeaudit
git:20260628.9edbf07 latest2026-06-28 9edbf07 6,219 BB view

Audit of the latest version

B  16 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • fail: No instruction to read or print local credentials (matched: cat > ~/.colab-remote/session.env)
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (6219 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 base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Starting a new one? Use a template for SKILL.md on mdpantry, which passes every one of these checks and says what to change in it.

Source

GitHub

broomva/skills · 5 stars · license MIT · pushed 2026-11-07 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_fx5gvjv47bvzbmbd
GET https://markdownregistry.com/api/v1/resolve?ref=broomva/skills/colab-remote
GET https://markdownregistry.com/api/v1/blob/b47b3f7c180db4c230df449cff3c1c0b93bbf5947f849cc6aaa245b775a3afb5

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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