Remote Compute: SSH

SkillMonitoring & ops

Lets your agent run research jobs on remote servers or clusters over SSH and collect the results.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Remote Compute: SSH skill

About this capability

Run Feynman research jobs on SSH, Slurm, or lab hosts. Use when a task needs remote host setup, job submission, log harvest, artifact sync, or GPU/cluster execution outside Modal.

What this skill tells your AI

The instructions your AI receives, as published by companion-inc/feynman in skills/remote-compute-ssh/SKILL.md and read by ahel’s review.

Use this skill for lab machines, SSH hosts, and Slurm-style research jobs.

Workflow:

  1. Record host alias, scheduler, working directory, environment module/conda/container needs, data paths, and artifact return path.
  2. Verify access and a tiny smoke command before the main job.
  3. Submit with a bounded script that logs package versions, hardware, command, and seed.
  4. Harvest stdout/stderr, job id, exit status, produced artifacts, and checksums into the Feynman workspace.
  5. Mark failed or partial jobs honestly; do not fabricate remote artifacts from local expectations.

Keep remote credentials and private paths out of user-facing summaries unless they are needed for reproducibility.

Signals

GitHub stars
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Forks
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Last commit
Sep 2026
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skill
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remote-compute-ssh-companion-inc
Source
github.com/companion-inc/feynman