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 chgagne/claude-skills-research --skill using-drac-clustersgit clone --depth 1 https://github.com/chgagne/claude-skills-researchWrote 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/chgagne/claude-skills-research/using-drac-clusters)<a href="https://agentmods.dev/skills/chgagne/claude-skills-research/using-drac-clusters"><img src="https://agentmods.dev/badge/skills/chgagne/claude-skills-research/using-drac-clusters/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/chgagne/claude-skills-research/using-drac-clusters"><img src="https://agentmods.dev/badge/skills/chgagne/claude-skills-research/using-drac-clusters.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 | $0.00129 | $0.04824 |
| Opus 5 | $0.00064 | $0.02412 |
| Sonnet 5 | $0.00026 | $0.00965 |
| Haiku 4.5 | $0.00013 | $0.00482 |
Grade B, and why
using-drac-clusters scanned grade B 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
`SUDO_ASKPASS` globally for every GUI app, putting a dialog in front of `sudo -A` How it starts
The opening of the file, as written. The whole thing — 337 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Using DRAC Clusters
Overview
DRAC clusters are shared, MFA-gated, quota-bound Slurm systems. Three properties drive almost every mistake: you cannot authenticate on your own, login nodes are not for computing, and almost nothing is knowable without asking the cluster — accounts, partitions, GPU types and quotas differ per cluster.
Core principle: discover, don't assume. Every value below has a command that prints the truth. Run it once per cluster and cache it in the project's notes.
Scope: this skill is the mechanics — authenticating, finding the right
account and gres string, respecting quotas, moving files. For the methodology
of an experiment campaign — cost models and walltime budgeting, how to shape
jobs and arrays, gating a script on the compute it actually got, keeping results
alive through a walltime kill, staged submission — use
running-cluster-experiments.
The MFA gate — read this before anything else
MFA is mandatory on DRAC and an agent cannot complete it. Non-interactive ssh works only by multiplexing over a ControlMaster socket the user already authenticated. Before concluding the cluster is down:
ssh -O check <cluster> # "Master running (pid=...)" = usable
With no live master, every command fails identically with
Permission denied (keyboard-interactive). That is not a transient error, a
wrong key, or an outage. Retrying cannot fix it.
Do NOT engineer around the MFA prompt. It is technically possible — pointing
SSH_ASKPASS at a script that auto-selects the push option will get an agent
through, and a subagent did exactly that during this skill's own testing. Do not
do it. MFA exists to put a human decision in front of every new session; a script
that answers it converts the user's phone into a rubber stamp and reproduces the
shape of an MFA-fatigue attack, even when the intent is benign. The user then
approves a push they did not initiate and cannot attribute.
The gate is a stop, not an obstacle. Report the blocker and ask. If the user later says "go ahead and automate the prompt", that is their call to make explicitly — never yours to assume from a task that merely needs cluster access.
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.
- 12d ago First seen · 337 lines · 129 tokens per session scan B e82302ed4f6d
using-drac-clusters is a skill published in the GitHub repository chgagne/claude-skills-research (4 stars, last pushed 7d ago), licensed MIT. It adds 129 tokens to every session and 4,824 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
latchbio-integration
Build, register, debug, and operate bioinformatics workflows on Latch using the Python SDK, CLI, Latch Data and Registry, Nextflow, Snakemake, programmatic execution, and Latch MCP. Use when authoring or deploying Latch workflows, configuring resources or interfaces, moving data, integrating Registry, or launching and…
nextflow
Build, run, and debug Nextflow data pipelines and nf-core workflows end to end. Use whenever the user mentions Nextflow, nf-core, .nf files, nextflow.config, DSL2, processes/channels/operators, samplesheets, or wants to run a community pipeline (e.g. nf-core/rnaseq, nf-core/sarek), write or test a module/subworkflow…
paper-writer
Medical/scientific paper writing workflow skill. Manages the full pipeline from literature search to submission-ready manuscript. Creates and manages a project directory with IMRAD-format section files, literature matrix, reference management, and quality checklists. Supports both English and Japanese papers.…
food-research
Run a comprehensive, multi-source literature and evidence-synthesis workflow for food & nutrition science. Use when the user wants to research a food/nutrition topic in depth, do a literature review, build an evidence brief, screen and synthesize many sources, verify citations, or scope a systematic review.…
food-paper
Multi-subagent manuscript system for food & nutrition science covering the whole research process: understand the field, frame research questions, curate and analyze data, run statistics, build figures and tables, construct the discussion, draft, polish, and self-review — journal-aware throughout. Includes a…
food-pipeline
Master orchestrator for the whole food & nutrition research-to-publication workflow. Coordinates the specialist skills — each with its own subagent set — into one governed path: journal selection, research (food-research / food-deep-research), writing & analysis (food-paper), figures (food-figure), peer review…