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-mpigit 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-mpi)<a href="https://agentmods.dev/skills/scimate-ai/hpc-skills/hpc-mpi"><img src="https://agentmods.dev/badge/skills/scimate-ai/hpc-skills/hpc-mpi/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-mpi"><img src="https://agentmods.dev/badge/skills/scimate-ai/hpc-skills/hpc-mpi.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 | $0.00089 | $0.00879 |
| Opus 5 | $0.00044 | $0.00439 |
| Sonnet 5 | $0.00018 | $0.00176 |
| Haiku 4.5 | $0.00009 | $0.00088 |
Grade A, and why
hpc-mpi 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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
HPC MPI
Treat MPI as a three-layer surface: implementation choice, build or wrapper semantics, and launcher behavior inside the target scheduler.
Start
- Read
references/mpi-implementation-matrix.mdbefore choosing or repairing an MPI stack. - Read
references/launcher-semantics.mdwhen deciding betweensrun,mpirun,mpiexec, Hydra, or a site wrapper. - Read
references/wrapper-compilers-and-build.mdwhen compiling withmpiccormpicxxormpifort, linking dependencies, or mixing MPI and non-MPI toolchains. - Read
references/rank-thread-binding-matrix.mdwhen selecting MPI rank counts, OpenMP threads, affinity, or NUMA placement. - Read
references/pmi-pmix-and-environment-propagation.mdwhen PMI or PMIx integration, environment forwarding, or batch-shell drift is in doubt. - Read
references/scheduler-integration-playbook.mdwhen launching under Slurm, PBS, or LSF. - Read
references/runtime-debugging-and-observability.mdwhen ranks hang, crash, oversubscribe, or report inconsistent environment state. - Read
references/error-pattern-dictionary.mdwhen an MPI build or runtime failure needs a fast pattern match.
Work sequence
- Identify the active MPI family first:
- Open MPI
- MPICH or Hydra-derived stack
- Intel MPI
- MVAPICH2
- site-specific wrapper around one of those families
- Keep compiler wrappers and runtime launcher from the same stack.
- Decide whether the scheduler should launch ranks directly or whether the MPI launcher should do it.
- Make rank count, CPUs per rank,
OMP_NUM_THREADS, and binding policy mutually consistent. - Reproduce failures on the smallest rank count that still shows the issue before scaling back out.
Guardrails
- Do not mix
mpiccfrom one MPI stack withmpirunfrom another. - Do not assume
mpirunandsrunare interchangeable on a managed cluster. - Do not tune binding or transport variables before confirming the rank geometry is coherent.
- Do not debug collectives or hangs at production scale first when a two-rank or four-rank reproduction is possible.
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 253 B
- assets/templates/mpi_compile_example.sh 156 B runs code
- assets/templates/mpi_hello_slurm.sh 393 B runs code
- assets/templates/mpi_hello_world.c 282 B
- assets/templates/mpi_hybrid_slurm.sh 422 B runs code
- references/error-pattern-dictionary.md 1.1 KB
- references/launcher-semantics.md 1.2 KB
- references/mpi-implementation-matrix.md 1.6 KB
- references/pmi-pmix-and-environment-propagation.md 1.2 KB
- references/rank-thread-binding-matrix.md 1.2 KB
- references/runtime-debugging-and-observability.md 1.3 KB
- references/scheduler-integration-playbook.md 965 B
- references/wrapper-compilers-and-build.md 1.2 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.
- 11d ago First seen · 72 lines · 89 tokens per session scan A 780e70580836
hpc-mpi is a skill published in the GitHub repository SciMate-AI/HPC-Skills (86 stars, last pushed 5mo ago), licensed MIT. It adds 89 tokens to every session and 879 once invoked, about $0.0004 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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