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-hypregit 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-hypre)<a href="https://agentmods.dev/skills/scimate-ai/hpc-skills/hpc-hypre"><img src="https://agentmods.dev/badge/skills/scimate-ai/hpc-skills/hpc-hypre/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-hypre"><img src="https://agentmods.dev/badge/skills/scimate-ai/hpc-skills/hpc-hypre.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 | $0.00069 | $0.00818 |
| Opus 5 | $0.00034 | $0.00409 |
| Sonnet 5 | $0.00014 | $0.00164 |
| Haiku 4.5 | $0.00007 | $0.00082 |
Grade A, and why
hpc-hypre 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 11d 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 — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
HPC hypre
Treat hypre as a solver-library family with distinct matrix interfaces and multigrid-heavy preconditioning workflows.
Start
- Read
references/interface-selection.mdbefore creating or repairing a hypre solve path. - Read
references/matrix-and-ownership-playbook.mdwhen choosing row ownership, indexing, or assembly discipline. - Read
references/boomeramg-and-krylov-playbook.mdwhen choosingBoomerAMG, Krylov solvers, or a first stable parameter set. - Read
references/boomeramg-parameter-matrix.mdwhen changing coarsening, interpolation, smoothing, or cycle choices. - Read
references/krylov-and-preconditioner-matrix.mdwhen the operator class does not fit the defaultPCGplusBoomerAMGbaseline. - Read
references/structured-and-sstruct-playbook.mdwhen the problem is logically structured or semi-structured. - Read
references/build-and-integration.mdwhen building hypre directly or consuming it through PETSc or another host code. - Read
references/error-recovery.mdwhen setup, solve, or parallel behavior fails.
Work sequence
- Classify the discretization storage first:
- general sparse assembled system ->
IJ - structured grid with regular stencil semantics ->
Struct - mostly structured with coupled variable blocks or irregular pieces ->
SStruct
- general sparse assembled system ->
- Choose a baseline solver pair that matches the operator:
- SPD-like problems ->
PCGwithBoomerAMG - general nonsymmetric problems ->
GMRESorFlexGMRESwithBoomerAMGas the preconditioner
- SPD-like problems ->
- Get the baseline solve working before changing coarsening, interpolation, or relaxation details.
- Keep distributed row ownership and matrix assembly consistent across ranks.
Guardrails
- Do not use the structured interfaces when the data model is really an unstructured sparse matrix.
- Do not start by over-tuning
BoomerAMG; defaults are the first checkpoint. - Do not debug multigrid parameters before confirming the operator, nullspace, and boundary conditions are coherent.
- Do not assume host applications expose every hypre knob unless the integration layer documents it.
What ships with it
13 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 230 B
- assets/templates/hypre_build_example.sh 332 B runs code
- assets/templates/hypre_ij_pcg_boomeramg.c 2.1 KB
- assets/templates/hypre_ij_slurm.sh 395 B runs code
- references/boomeramg-and-krylov-playbook.md 1.2 KB
- references/boomeramg-parameter-matrix.md 1.0 KB
- references/build-and-integration.md 1.1 KB
- references/error-pattern-dictionary.md 1.2 KB
- references/error-recovery.md 1.1 KB
- references/interface-selection.md 1.5 KB
- references/krylov-and-preconditioner-matrix.md 1013 B
- references/matrix-and-ownership-playbook.md 809 B
- references/structured-and-sstruct-playbook.md 791 B
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.
- 11d ago First seen · 69 lines · 69 tokens per session scan A 9d2301be4d67
hpc-hypre is a skill published in the GitHub repository SciMate-AI/HPC-Skills (86 stars, last pushed 5mo ago), licensed MIT. It adds 69 tokens to every session and 818 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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