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Probe compute environment

Skill xuzhougeng/wisp-science/skills/probe-compute-environment

Inspect a registered execution server before compute planning and interpret its persisted capability profile. Use when a server is added, when the user clicks Probe, before enabling an unfamiliar SSH/WSL resource, or when deciding whether GPU, sudo/root, a scheduler, Python, R, conda, mamba, or environment modules are available.From its SKILL.md

Install
npx -y skills add xuzhougeng/wisp-science --skill probe-compute-environment

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SKILL.md

1.7 KB, 313 tokens by cl100k_base, as published. Nobody here has run it

Probe compute environment

Use Wisp's environment Probe action. It performs bounded, read-only checks and stores the result on the ExecutionContext. An SSH probe batches every check into one authenticated session; do not replace it with an ad-hoc SSH discovery loop. Batch SSH uses IdentitiesOnly=yes; users relying on a non-default ssh-agent key must configure its IdentityFile in Wisp or SSH config.

After probing:

  1. Treat persisted capabilities as the server contract until it is probed again.
  2. Treat gpu_summary: null as no usable GPU. Plan CPU work and never add CUDA/GPU flags speculatively.
  3. Treat privilege: unprivileged as no root or passwordless sudo. Do not use sudo, system package managers, or system paths; prefer user-space environments, modules, containers already installed by the administrator, or ask the user for an administrator-installed dependency.
  4. Use a detected scheduler rather than running long work on a login node.
  5. Use the recorded interpreter paths and environment managers. Do not assume python, Rscript, conda, mamba, or modulecmd exists when absent.
  6. If the probe failed, inspect the saved error and ask the user to check the connection before manually probing again. Never loop or automatically retry an SSH probe. If it is merely stale relative to a server change, probe again before submitting work.

What ships with it: 1 file

232 B alongside SKILL.md

agents/

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