gwdg-hpc

gwdg-hpc is a skill for Claude Code from lkaesberg/gwdg-gipplab-skill. It costs 278 tokens per session (4,558 once invoked), scanned C, original, MIT.

A practical guide to Emmy and Grete, the shared GWDG high-performance computing system in Göttingen, including its CPU and GPU areas, accounts, storage, and job queues.

In plain words
What is it for?
Working out which account type, login node, filesystem, software modules, and Slurm job partition to use on the GWDG system.
Why use it?
It helps users avoid treating the system as separate clusters or assuming that every account has the same access.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the gwdg-hpc plugin — 1 skill shipped together

Good fit Working out which account type, login node, filesystem, software modules, and Slurm job partition to use on the GWDG system.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lkaesberg/gwdg-gipplab-skill/gwdg-hpc
Install

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.

Any agent
npx skills add lkaesberg/gwdg-gipplab-skill --skill gwdg-hpc
Clone the repo
git clone --depth 1 https://github.com/lkaesberg/gwdg-gipplab-skill

Made for: Claude Code.

Or install gwdg-hpc, the plugin that ships this one along with the rest of its 1 skill.

Wrote 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.

agentmods badge for gwdg-hpc

README.md
[![agentmods](https://agentmods.dev/badge/skills/lkaesberg/gwdg-gipplab-skill/gwdg-hpc/github.svg)](https://agentmods.dev/skills/lkaesberg/gwdg-gipplab-skill/gwdg-hpc)
Your own site
<a href="https://agentmods.dev/skills/lkaesberg/gwdg-gipplab-skill/gwdg-hpc"><img src="https://agentmods.dev/badge/skills/lkaesberg/gwdg-gipplab-skill/gwdg-hpc/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.

agentmods 80×15 button for gwdg-hpc

Your own site · 80×15
<a href="https://agentmods.dev/skills/lkaesberg/gwdg-gipplab-skill/gwdg-hpc"><img src="https://agentmods.dev/badge/skills/lkaesberg/gwdg-gipplab-skill/gwdg-hpc.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 278 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,558 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00278 $0.04558
Opus 5 $0.00139 $0.02279
Sonnet 5 $0.00056 $0.00912
Haiku 4.5 $0.00028 $0.00456

Measured 12d ago against content hash ca118534d561, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade C, and why

gwdg-hpc scanned grade C with 1 finding 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.

Reaches for credential fileshighPrivilege escalation

SSH keys, cloud credentials, git-credentials, .npmrc, /etc/shadow: reading these is how a config file becomes a credential leak.

IdentityFile ~/.ssh/id_ed25519
skills/gwdg-hpc/SKILL.md · 336 lines

How it starts

The opening of the file, as written. The whole thing — 336 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GWDG HPC: Emmy & Grete (SCC / KISSKI / NHR / REACT)

The mental model (read this first)

There is one unified HPC system in Göttingen, operated by GWDG. It is not three separate clusters. It is made of compute "islands":

  • Emmy — the CPU islands (Emmy Phase 1/2/3), e.g. Intel Sapphire Rapids and Cascade Lake nodes.
  • Grete — the GPU islands (Grete Phase 1/2/3), with Nvidia V100 / A100 / H100 GPUs.
  • Plus the older SCC Legacy island and a few group-restricted islands (CIDBN, FG, SOE).

SCC, KISSKI, NHR, and REACT are not different machines — they are different account types on this shared system. The account type is the single most important fact, because it determines three things at once:

  1. which login nodes you can reach,
  2. which filesystems ($HOME, scratch) you land on, and
  3. which Slurm partitions you are allowed to submit to.

So the first job is always to figure out what kind of account the user has, and then read everything else off that. Do not assume; a user may have several accounts (e.g. an SCC account and an NHR project).

The default software environment everywhere is the gwdg-lmod Lmod module stack.


Step 1 — Establish the account type

If it isn't already clear from the conversation, determine it. Signals:

  • Username shape. A Project-Portal username looks like u12345 (a u followed by five digits) and is project-specific — each project the user belongs to is a separate account with its own storage and allocation. The user's AcademicID (the name they use for other GWDG services) cannot be used for SSH (the only exception is the storage transfer nodes).
  • Legacy usernames (being phased out, must be migrated): a name-based login like jdoe, john.doe2, doe15 is a legacy SCC user; a login like nimjdoe / hbbmustr (3 letters, 2 of them the German state code, then 5 chosen characters) is a legacy NHR/HLRN user.
  • Project Portal tree. In https://hpcproject.gwdg.de, the project's path reveals the type: Projects / Scientific Compute Cluster (SCC) → SCC; Projects / Extern / KISSKI → KISSKI; Projects / Extern / NHR-NORD@Göttingen → NHR; Projects / Extern / EFRE-REACT … → REACT (CIDAS and Research Units are treated like NHR).
  • On the cluster itself, show-quota lists the data stores assigned to the current user, and the login banner shows which partitions are available.

Read the full file on GitHub · 336 lines

Files

What ships with it

6 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.

Changes

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.

  1. 12d ago First seen · 336 lines · 278 tokens per session scan C ca118534d561

Subscribe to this mod's changes

gwdg-hpc is a skill published in the GitHub repository lkaesberg/gwdg-gipplab-skill (2 stars, last pushed 2mo ago), licensed MIT. It adds 278 tokens to every session and 4,558 once invoked, about $0.0014 per session on Opus 5. A static security scan graded it C with 1 finding (reaches for credential files). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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