Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add SciMate-AI/HPC-Skills --skill hpc-fenicsgit clone --depth 1 https://github.com/SciMate-AI/HPC-SkillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/scimate-ai/hpc-skills/hpc-fenics)<a href="https://agentmods.dev/skills/scimate-ai/hpc-skills/hpc-fenics"><img src="https://agentmods.dev/badge/skills/scimate-ai/hpc-skills/hpc-fenics/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/scimate-ai/hpc-skills/hpc-fenics"><img src="https://agentmods.dev/badge/skills/scimate-ai/hpc-skills/hpc-fenics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00064 | $0.00808 |
| Opus 5 | $0.00032 | $0.00404 |
| Sonnet 5 | $0.00013 | $0.00162 |
| Haiku 4.5 | $0.00006 | $0.00081 |
Grade A, and why
hpc-fenics scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
HPC FEniCS
Treat FEniCS as a family with two main stacks: classic FEniCS and DOLFINx.
Start
- Read
references/runtime-selection.mdfirst. - Read
references/dolfinx-boundary-workflow.mdwhen targeting DOLFINx boundary conditions. - Read
references/ufl-and-solver-patterns.mdwhen translating PDEs, choosing spaces, or building forms. - Read
references/pde-template-cookbook.mdwhen mapping common PDE classes to known formulation patterns. - Read
references/time-dependent-and-nonlinear-patterns.mdwhen building transient or nonlinear solvers. - Read
references/implementation-skeletons.mdwhen you need a concrete script shape for classic FEniCS or DOLFINx. - Read
references/petsc-solver-playbook.mdwhen choosing linear, nonlinear, or block solver settings. - Read
references/mixed-problems-and-output.mdwhen working with mixed spaces, XDMF, or post-processing. - Read
references/cluster-execution-playbook.mdwhen staging a FEniCS or DOLFINx script for scheduler-backed cluster execution. - Read
references/boundary-io-and-errors.mdwhen repairing runtime failures or resolving IO issues.
Work sequence
- Choose one stack and stay consistent:
- classic FEniCS:
fenicsordolfin - modern stack:
dolfinx
- classic FEniCS:
- Translate the PDE into the correct weak form before writing code.
- Match unknown type and space:
- scalar field -> scalar space
- vector field -> vector space
- mixed formulation -> mixed space with explicit subspace handling
- For linear problems, use
TrialFunctionandTestFunction. - For nonlinear problems, use a
Functionfor the unknown and solve a residual form. - Write outputs in a format the expected post-processor can open, usually XDMF for mesh-coupled fields.
Guardrails
- Do not mix classic FEniCS imports with DOLFINx APIs in one script.
- Do not use
TrialFunctionfor a nonlinear unknown. - Do not guess a boundary condition if the PDE is under-constrained; say what is missing.
- Do not ignore shape and rank mismatches in UFL expressions.
What ships with it
18 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- agents/openai.yaml 201 B
- assets/templates/fenics-dolfinx-slurm.sh 494 B runs code
- assets/templates/poisson_dolfinx.py 733 B runs code
- assets/templates/transient_diffusion_dolfinx.py 1.0 KB runs code
- references/boundary-io-and-errors.md 1.7 KB
- references/cluster-execution-playbook.md 3.0 KB
- references/dolfinx-boundary-workflow.md 2.2 KB
- references/gmsh-meshtags-and-refinement.md 2.1 KB
- references/implementation-skeletons.md 1.9 KB
- references/io-visualization-and-writers.md 1.8 KB
- references/mixed-problems-and-output.md 2.4 KB
- references/parallel-and-mpi-caveats.md 1.5 KB
- references/pde-template-cookbook.md 2.4 KB
- references/petsc-solver-playbook.md 2.9 KB
- references/runtime-selection.md 1.3 KB
- references/space-boundary-output-matrix.md 1.5 KB
- references/time-dependent-and-nonlinear-patterns.md 1.8 KB
- references/ufl-and-solver-patterns.md 1.6 KB
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 71 lines · 64 tokens per session scan A 835bd0361b5b
hpc-fenics is a skill published in the GitHub repository SciMate-AI/HPC-Skills (86 stars, last pushed 5mo ago), licensed MIT. It adds 64 tokens to every session and 808 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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