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 HCAI-Lab-GT/gt-hive --skill pace-icegit clone --depth 1 https://github.com/HCAI-Lab-GT/gt-hiveWrote 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/hcai-lab-gt/gt-hive/pace-ice)<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.
<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>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 | $0.00051 | $0.03031 |
| Opus 5.5 | $0.00020 | $0.01212 |
| Sonnet 5.5 | $0.00010 | $0.00606 |
| Haiku 4.5 | $0.00005 | $0.00303 |
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.
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 athttps://ondemand-ice.pace.gatech.edu/.
Do NOT use this overlay for:
- Production research workflows — those go to the
pace-phoenixoverlay (paid research cluster with charge accounts and explicit QOS selection). - Generic Slurm questions without a cluster named — those use
slurm-corealone, 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-corefor: writing the actualsbatchscript, interactivesalloc/srunworkflows, 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 fromslurm-core.
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.
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.
- 2mo ago First seen · 254 lines · 51 tokens per session scan A 7a342d941096
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.
pace-ice compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| pace-iceHCAI-Lab-GT/gt-hive | Skill | 6 | 3mo ago | MIT | A | 51 | Claude Code |
| instrument-data-to-allotropeanthropics/knowledge-work-plugins | Skill | 35k | 2d ago | Apache-2.0 | A | 123 | Claude Code |
| exploratory-data-analysisK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 83 | Claude Code |
| matlabK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 44 | Claude Code |
| phylogeneticsK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 71 | Claude Code, Codex |
| research-engineerdavila7/claude-code-templates | Skill | 33k | yesterday | MIT | A | 43 | Claude Code, Codex |
| mapping-to-snomedmaziyarpanahi/openmed | Skill | 5.8k | yesterday | Apache-2.0 | A | 205 | Claude Code |