# Compute Env Setup

> Compute Env Setup is an Agent Skill for devops & security published in the companion-inc/feynman repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.

Set up a reproducible Feynman compute environment for research jobs. Use when a task needs Python/R packages, GPU libraries, containers, Modal, SSH, caches, or managed model runtime setup.

- Skill name: `compute-env-setup`
- Category: [DevOps & Security](https://www.openparable.com/skill/devops-security/1)
- Source: https://github.com/companion-inc/feynman/blob/HEAD/skills/compute-env-setup/SKILL.md
- Repository: companion-inc/feynman (8,301 GitHub stars when collected)

## SKILL.md

# Compute Environment Setup

Use this skill before running a research job that needs a nontrivial runtime.

Workflow:

1. Identify the job type, hardware need, data size, package stack, secrets, and expected artifacts.
2. Choose the smallest working route: local notebook runtime, project virtualenv/conda, Modal, SSH/Slurm, or managed endpoint.
3. Verify credentials and CLIs through Feynman Settings or environment status without printing secret values.
4. Write an environment note containing package versions, install commands, cache paths, hardware, and failure modes.
5. Run a tiny smoke job before the expensive job and save the smoke logs.

The done state is a recorded, reproducible environment plus a successful smoke or a precise missing dependency.

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Source: https://www.openparable.com/skill/devops-security/compute-env-setup (OpenParable). Cite the canonical URL above.