← Back to Skills Marketplace
fzj1214

Hpc Calculix

by fzj · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ✓ Security Clean
149
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install hpc-calculix
Description
Build, review, debug, and automate CalculiX finite-element workflows. Use when working with CalculiX `.inp` decks, Abaqus-style keywords, materials, steps, c...
README (SKILL.md)

HPC CalculiX

Treat CalculiX as an input-deck-driven FEM workflow centered on .inp keywords.

Start

  1. Read references/input-deck-manual.md before creating or editing a .inp file.
  2. Read references/keyword-and-step-matrix.md when mapping materials, sections, loads, and analysis steps.
  3. Read references/mesh-boundary-and-output.md when working with nodes, elements, sets, boundary conditions, and result output.
  4. Read references/cluster-execution-playbook.md when staging a CalculiX deck for scheduler-backed cluster execution.
  5. Read references/error-recovery.md when parsing, solving, or post-processing fails.

Additional References

Load these on demand:

  • references/time-control-and-amplitudes.md for step time, amplitude logic, and incremental loading behavior
  • references/result-files-and-postprocessing.md for .dat, .frd, and eigenmode artifacts
  • references/thermal-and-coupled-procedures.md for heat transfer and coupled analysis patterns
  • references/step-load-output-matrix.md for procedure-to-load-to-output compatibility tables
  • references/element-section-material-matrix.md for element, section, and material assignment lookup tables
  • references/error-pattern-dictionary.md for structured parse, singularity, and procedure-mismatch failure signatures
  • references/cluster-execution-playbook.md for launch style, result-artifact planning, and cluster-side deck execution

Reusable Templates

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

  • static_minimal.inp
  • frequency_minimal.inp
  • thermal_minimal.inp
  • beam_static.inp
  • calculix-ccx-slurm.sh

Guardrails

  • Do not invent Abaqus-style keywords that CalculiX does not support.
  • Do not mix node or element set names inconsistently across sections and steps.
  • Do not define loads and boundary conditions without checking the active step type.
  • Do not skip material and section coherence when the deck fails later in the solve.

Outputs

Summarize:

  • analysis type
  • materials and sections
  • sets and boundary assumptions
  • step sequence
  • expected result files
Usage Guidance
This skill appears to do what it says: read the bundled references and help prepare or debug CalculiX input decks. Before using it, verify you have the CalculiX solver (ccx) and any scheduler (SLURM) available if you plan to use the provided submission template. Inspect the provided calculix-ccx-slurm.sh template and only run it on clusters where you control or trust job execution. No secrets are requested by this skill and there are no external installers, but always avoid running unreviewed scripts on production systems and confirm the solver and scheduler environment matches your site setup.
Capability Analysis
Type: OpenClaw Skill Name: hpc-calculix Version: 0.1.0 The skill bundle is a legitimate set of instructions and templates for managing CalculiX Finite Element Method (FEM) workflows. All files, including the Slurm submission script (calculix-ccx-slurm.sh) and the extensive reference documentation, are strictly focused on engineering simulation, keyword validation, and HPC job submission. No indicators of malicious intent, data exfiltration, or harmful prompt injection were identified.
Capability Assessment
Purpose & Capability
The skill declares no required binaries or env vars, but includes a SLURM run template that invokes 'ccx' via 'srun' and references SLURM_SUBMIT_DIR; this is consistent with a cluster-focused CalculiX helper but there is a small mismatch between the declared requirements (none) and the implicit dependency on a scheduler and the 'ccx' solver binary.
Instruction Scope
SKILL.md confines instructions to reading bundled reference docs, using local templates, and summarizing deck contents; it does not instruct the agent to read arbitrary host files, exfiltrate data, or call external endpoints beyond what a user would expect for preparing/running solver jobs.
Install Mechanism
This is an instruction-only skill with no install spec and a small local template script — nothing is downloaded or written by an installer, so no elevated install risk is present.
Credentials
No environment variables, credentials, or config paths are required by the skill bundle. The included SLURM script references the standard SLURM_SUBMIT_DIR variable (normal for scheduler jobs) but does not require secrets or unrelated service credentials.
Persistence & Privilege
Skill is not always-enabled and does not request persistent system privileges or modify other skills. Model invocation is allowed (platform default), which is normal for user-invocable skills.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install hpc-calculix
  3. After installation, invoke the skill by name or use /hpc-calculix
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Initial release of hpc-calculix: automate and support CalculiX finite-element workflows. - Provides structured guidance for building, reviewing, and debugging CalculiX `.inp` decks. - Includes references and templates for materials, procedures, meshing, cluster execution, and error recovery. - Emphasizes use of standard Abaqus-style keywords supported by CalculiX. - Defines guardrails to prevent common deck and workflow errors. - Summarizes analysis setup and expected output files.
Metadata
Slug hpc-calculix
Version 0.1.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Hpc Calculix?

Build, review, debug, and automate CalculiX finite-element workflows. Use when working with CalculiX `.inp` decks, Abaqus-style keywords, materials, steps, c... It is an AI Agent Skill for Claude Code / OpenClaw, with 149 downloads so far.

How do I install Hpc Calculix?

Run "/install hpc-calculix" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Hpc Calculix free?

Yes, Hpc Calculix is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Hpc Calculix support?

Hpc Calculix is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Hpc Calculix?

It is built and maintained by fzj (@fzj1214); the current version is v0.1.0.

💬 Comments