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SKILL verified MIT Self-run

Hpc Paraview

skill-scimate-ai-hpc-skills-hpc-paraview · by SciMate-AI

Build, review, debug, and automate ParaView post-processing and visualization workflows. Use when working with ParaView readers, filters, color maps, screenshots, state files, pvpython or pvbatch scripts, remote pvserver sessions, or cluster-side batch visualization.

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Install

$ agentstack add skill-scimate-ai-hpc-skills-hpc-paraview

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

HPC ParaView

Treat ParaView as a pipeline-driven post-processing and visualization stack with both GUI and scripted execution paths.

Start

  1. Read references/workflow-manual.md before creating or repairing a ParaView workflow.
  2. Read references/readers-filters-and-pipeline.md when mapping datasets to readers, filters, and pipeline objects.
  3. Read references/color-maps-layout-and-views.md when tuning representations, coloring, views, screenshots, or layout behavior.
  4. Read references/pvpython-pvbatch-and-traces.md when choosing between GUI tracing, pvpython, and pvbatch.
  5. Read references/state-files-animation-and-extracts.md when using .pvsm, Python state, screenshots, or saved data products.
  6. Read references/remote-and-parallel-visualization.md when the workflow needs pvserver, reverse connections, SSH tunnels, or distributed rendering.
  7. Read references/cluster-execution-playbook.md when staging a ParaView workflow for scheduler-backed cluster post-processing.
  8. Read references/error-recovery.md when readers, filters, scripts, state files, or remote connections fail.

Reusable Templates

Use assets/templates/ when a concrete starting scaffold is needed, especially:

  • pvpython_screenshot.py
  • pvbatch_slice_extract.py
  • paraview-pvbatch-slurm.sh
  • paraview-pvserver-slurm.sh

Guardrails

  • Do not guess reader or filter semantics from file extensions alone when metadata is available.
  • Do not use pvbatch and remote Connect() logic in the same script.
  • Do not save brittle state files with absolute data paths unless that is intentional.
  • Do not run heavy rendering or batch extraction on login nodes.

Outputs

Summarize:

  • input datasets and readers
  • key filters and representations
  • chosen execution path such as GUI, pvpython, pvbatch, or pvserver
  • expected screenshots, extracts, animations, or saved data products

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.

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