pace-ice

pace-ice is a skill for Claude Code from HCAI-Lab-GT/gt-hive. It costs 51 tokens per session (3,031 once invoked), scanned A, original, MIT.

A Georgia Tech PACE ICE guide for instructional computing, coursework, workshops, and grading jobs. It adds ICE-specific information to general Slurm guidance.

In plain words
What is it for?
Use it for course assignments, class labs, teaching workflows, and grading jobs on the ICE cluster.
Why use it?
It helps avoid applying research-cluster settings to ICE, such as unnecessary accounts or charges. It also keeps local rules separate from portable Slurm instructions.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions AGENTS.md.

Part of the gt-hive-pace plugin — 3 skills, 3 commands, 1 hook shipped together

Good fit Use it for course assignments, class labs, teaching workflows, and grading jobs on the ICE cluster.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hcai-lab-gt/gt-hive/pace-ice
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 HCAI-Lab-GT/gt-hive --skill pace-ice
Clone the repo
git clone --depth 1 https://github.com/HCAI-Lab-GT/gt-hive

Made for: Claude Code.

Or install gt-hive-pace, the plugin that ships this one along with the rest of its 3 skills, 3 commands, 1 hook.

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 pace-ice

README.md
[![agentmods](https://agentmods.dev/badge/skills/hcai-lab-gt/gt-hive/pace-ice/github.svg)](https://agentmods.dev/skills/hcai-lab-gt/gt-hive/pace-ice)
Your own site
<a href="https://agentmods.dev/skills/hcai-lab-gt/gt-hive/pace-ice"><img src="https://agentmods.dev/badge/skills/hcai-lab-gt/gt-hive/pace-ice/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 pace-ice

Your own site · 80×15
<a href="https://agentmods.dev/skills/hcai-lab-gt/gt-hive/pace-ice"><img src="https://agentmods.dev/badge/skills/hcai-lab-gt/gt-hive/pace-ice.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,031 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00051 $0.03031
Opus 5.5 $0.00020 $0.01212
Sonnet 5.5 $0.00010 $0.00606
Haiku 4.5 $0.00005 $0.00303

Measured 2mo ago against content hash 7a342d941096, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pace-ice 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 2mo 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.

claude/skills/pace-ice/SKILL.md · 254 lines

How it starts

The opening of the file, as written. The whole thing — 254 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PACE ICE Overlay

This skill is the ICE-specific overlay for Georgia Tech PACE. It adds site facts that slurm-core deliberately does not know.

What this overlay adds

Load this skill when the user is working on (or asking about) the PACE ICE cluster — the instructional PACE cluster at Georgia Tech for credit-bearing coursework, TA grading workflows, and GT-hosted workshops. ICE is free to GT students and instructors with a valid GT account; no charge account is configured and no -A flag is required.

The layered model is: load slurm-core for portable Slurm patterns (sbatch, srun, salloc, sacct, job arrays, dependencies, debugging checklists), plus this overlay for ICE-specific account/QOS/storage/policy decisions. Do not duplicate slurm-core content here; reference it instead.

Ground truth for every claim in this skill is docs/PACE Documentation/ (an export of the official PACE knowledge base). When in doubt, re-verify against those docs and cite the specific page used.

When to use ICE

Route to this overlay when any of the following apply:

  • Credit-bearing course context — a course Slurm assignment, course project, or in-class lab.
  • Teaching/grading workflows — instructor or TA grading scripts that need cluster compute.
  • GT-hosted workshops or training — short-form classroom sessions using PACE.
  • Explicit user mention of ICE, <gt-login-host-redacted>, the instructional cluster, or OnDemand at https://ondemand-ice.pace.gatech.edu/.

Do NOT use this overlay for:

  • Production research workflows — those go to the pace-phoenix overlay (paid research cluster with charge accounts and explicit QOS selection).
  • Generic Slurm questions without a cluster named — those use slurm-core alone, with no site overlay.

Routing

  • Use this overlay alone for: ICE login/portal pointers, partition auto-routing rules, college-priority and grading QOS choice, GPU type selection, storage-tier guidance, semester-cleanup caveats, and the no--A-flag rule.
  • Pair with slurm-core for: writing the actual sbatch script, interactive salloc/srun workflows, job arrays, dependencies, sacct/squeue debugging — anything portable across Slurm clusters. ICE-specific values (no -A, optional -q coc-ice/coe-ice/pace-ice, --gres=gpu:<TYPE>:N, -C intel/-C amd/-C graniterapids) come from this overlay; the surrounding Slurm scaffolding comes from slurm-core.

Read the full file on GitHub · 254 lines

Files

What ships with it

4 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. 2mo ago First seen · 254 lines · 51 tokens per session scan A 7a342d941096

Subscribe to this mod's changes

pace-ice is a skill published in the GitHub repository HCAI-Lab-GT/gt-hive (6 stars, last pushed 3mo ago), licensed MIT. It adds 51 tokens to every session and 3,031 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-31.

Related

pace-ice compared with skills from other repositories

pace-ice next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
pace-iceHCAI-Lab-GT/gt-hiveSkill63mo agoMITA51Claude Code
instrument-data-to-allotropeanthropics/knowledge-work-pluginsSkill35k2d agoApache-2.0A123Claude Code
exploratory-data-analysisK-Dense-AI/scientific-agent-skillsSkill56k4d agoMITA83Claude Code
matlabK-Dense-AI/scientific-agent-skillsSkill56k4d agoMITA44Claude Code
phylogeneticsK-Dense-AI/scientific-agent-skillsSkill56k4d agoMITA71Claude Code, Codex
research-engineerdavila7/claude-code-templatesSkill33kyesterdayMITA43Claude Code, Codex
mapping-to-snomedmaziyarpanahi/openmedSkill5.8kyesterdayApache-2.0A205Claude Code