remote-compute-ssh
Submit recoverable SSH-direct research Runs with live progress cards and model-free monitoring.
Profile →npx skills add xuzhougeng/wisp-science --skill remote-compute-ssh --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Remote compute over SSH Use this skill after choosing an `ssh:<alias>` execution context. Wisp owns the job lifecycle locally: `run_in_context` creates the Run record, stages explicit inputs with persisted byte progress, and starts a detached supervisor on the server. The Runs panel and SQLite record remain authoritative if the conversation ends or Wisp restarts. ## Dispatch workflow 1. Use short `run_in_context` calls for read-only discovery such as `nvidia-smi -L`, `which python3`, or `module avail`. Free-form shell SSH is disabled. Use the interpreter path reported by the context probe; do not assume a `python` alias exists when the probe found `python3`. 2. Put the real command in one `run_in_context` call. Include environment activation in the command so the Run is reproducible. 3. To watch the Run or wait for later work, call `monitor_run` exactly once with the returned Run id. Wisp inserts a live card in the conversation, suspends the tool without additional model calls, and resumes the same agent turn with the terminal result. For fire-and-forget work, report the Run id and end the turn instead. 4. Use `get_run` only for one explicit status snapshot; never call it repeate
- Dispatch workflow
- Results
- Transfers between local and SSH contexts
- Cancellation and recovery
- Current boundary
What does the remote-compute-ssh skill do?
Submit recoverable SSH-direct research Runs with live progress cards and model-free monitoring.
How do I install it?
Run `npx skills add xuzhougeng/wisp-science --skill remote-compute-ssh --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From xuzhougeng/wisp-science, a repository with 895 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.