Compute Env Setup

What it does

When your agent uses it

• A selected local
• Direct SSH context when installing scientific packages
• Configuring caches
• Recording interpreter activation

Example prompts

• “/compute-env-setup”

Requirements

• Python 3

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

1. 1Require a selected ssh: context with a recent Probe result. Respect
2. 2If a scheduler is detected, stop. Do not install or run long work on a
3. 3Use at most a few bounded read-only shell commands to confirm free space,
4. 4Write an idempotent project script such as
5. 5Submit the setup script through one persisted Run
6. 6Replace all example paths with probed absolute paths. Call monitor_run
7. 7Record the validated activation command, versions, cache paths, GPU witness,

What it can do on your machine

Read from SKILL.md and the folder at commit b77b170. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  No scripts in the folder and no shell commands in SKILL.md (its code samples are json).

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md.

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Compute Env Setup loads about 1.1k tokens when it runs, and up to ~2.5k if it reads all its reference files. Until then it costs about 95 tokens; SKILL.md has 468 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~95

When it runs · the whole SKILL.md, loaded when a task matches

~1.1k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~2.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from xuzhougeng/wisp-science at commit b77b170, republished under its Apache-2.0 licence (© xuzhougeng). 468 words, ~1,071 tokens.

name

compute-env-setup

description

Set up and validate a reproducible Python or R environment on a Wisp execution context. Use for a selected local, WSL, or direct SSH context when installing scientific packages, configuring caches, recording interpreter activation, or producing an environment smoke test. Do not use for scheduler clusters or managed cloud providers that Wisp cannot track yet.

license

Apache-2.0

{
  "context_id": "ssh:gpu-box",
  "title": "Set up singlecell environment",
  "command": "bash setup-singlecell.sh /home/me/envs/singlecell /home/me/wisp-env-manifests/singlecell.json",
  "timeout_secs": 14400,
  "input_paths": ["runs/setup-singlecell.sh"],
  "output_specs": [
    {
      "glob": "ssh://gpu-box/home/me/wisp-env-manifests/singlecell.json",
      "kind": "environment-manifest",
      "residency": "remote"
    }
  ]
}

© xuzhougeng, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in skills/compute-env-setup of xuzhougeng/wisp-science.

• SKILL.md
• references/envs_reference.md

Open the folder on GitHubat commit b77b170