Open Science is a local-first, model-agnostic workbench for reproducible scientific research. Scientists use its AI agents, Python and R execution, data connectors, and traceable outputs for tasks such as literature review, analysis, simulation, and visualization across macOS, Windows, and Linux.
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 aipoch/open-science --skill remote-compute-sshgit clone --depth 1 https://github.com/aipoch/open-scienceWrote 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/aipoch/open-science/remote-compute-ssh)<a href="https://agentmods.dev/skills/aipoch/open-science/remote-compute-ssh"><img src="https://agentmods.dev/badge/skills/aipoch/open-science/remote-compute-ssh/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/aipoch/open-science/remote-compute-ssh"><img src="https://agentmods.dev/badge/skills/aipoch/open-science/remote-compute-ssh.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Rogue Agent · line 51 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00053 | $0.05159 |
| Opus 5.5 | $0.00021 | $0.02064 |
| Sonnet 5.5 | $0.00011 | $0.01032 |
| Haiku 4.5 | $0.00005 | $0.00516 |
Grade A, and why
remote-compute-ssh 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 1mo 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 — 454 lines — stays where its author put it; the contents beside it link to each section on GitHub.
This skill covers remote compute over SSH, including direct execution and Slurm submission:
listing hosts, creating handles, running short remote commands (callCommand), reading/writing host
knowledge docs, and the full async job lifecycle — submit → save job_id → read non-blocking
snapshots by that ID →
harvest → analysis turn → publish artifacts.
Where host.compute runs: host.compute lives ONLY on the control-plane REPL kernel — run
every example below with the repl_execute tool (JavaScript), the same kernel that hosts
host.mcp. The python/r data kernels have NO host.compute (SSH and approvals stay outside
the sandbox workspace); calling it from a python/r cell will fail with host.compute is undefined.
Choose an execution location
Only Compute Hosts enabled for this Session are visible or callable. Discover them in one catalog;
each entry has role selected or available. A non-empty selected pool is an execution instruction:
run tool-backed task work on one or more selected hosts as the task requires. The pool has no
priority and does not imply automatic multi-host scheduling. If no host is selected, choose from the
available entries. Read details() only for candidates that need closer evaluation.
Never guess or reuse a provider id absent from the catalog. A user naming a disabled host does not make it callable; explain that it must first be enabled for this Session. If no eligible host is usable, explain the blocker and ask the user how to proceed.
const hosts = await host.compute.listHosts()
const selectedHosts = hosts.filter((host) => host.role === 'selected')
const candidates = selectedHosts.length > 0 ? selectedHosts : hosts
Each list item is a compact summary with provider_id, display_name, shape, execution_mode,
status, and role
(last_probe_ok, probe_failed, or not_probed). last_probe_ok means the most recent persisted
Probe succeeded; it does not assert live connectivity. Knowledge documents and resource probe
snapshots are deliberately excluded from discovery results.
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.
- 1mo ago Changed 748a2293c5d9
- 1mo ago Changed · +14 lines dae11ba478a3
- 1mo ago Changed · +13 lines 71e02f96b6bb
- 1mo ago Changed · +79 lines bc3486d3f112
- 1mo ago Changed · +23 lines ad42e93914db
- 1mo ago First seen · 325 lines · 53 tokens per session scan A 2bbc300abb29
remote-compute-ssh is a skill published in the GitHub repository aipoch/open-science (5,207 stars, last pushed today), licensed Apache-2.0. It adds 53 tokens to every session and 5,159 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 2026-08-30.
Other skills, from other repositories
figure-style
Correctness and legibility checklist for publication figures, plus a matplotlib sidecar. Load before plotting anything and call applyfigurestyle() (role-mapped font ladder, outward ticks, frameless legends, 300-dpi saves, CJK-safe fonts). Covers data fidelity, label budgets, axis/colour/type rules, chart choice by…
journal-club-ppt
Instructions for turning a scientific paper PDF into a journal-club presentation or literature report. They require reconstructing the paper's scientific logic before creating the slides.
remote-compute-ssh
Submit recoverable SSH-direct research Runs with live progress cards and model-free monitoring, including Slurm, PBS, LSF, and Grid Engine batch jobs from a cluster login node.
research-integrity-audit
A research-integrity review of a scientific manuscript's figures and reported numbers. It looks for possible image reuse or alteration and numerical patterns that may indicate data inconsistencies.
analysis-workflow
Organize multi-step scientific analyses into reproducible, self-contained modules. Use for workflows such as QC→PCA→DEG→GSEA that produce scripts, inputs, figures, tables, and methods. Creates a stable module layout, records exact inputs/parameters/package and database versions in each module README, keeps large data…
audit-biomedical-paper-evidence
A reviewer for life-science and biomedical papers, PDFs, figures, captions, and screenshots. It examines the scientific question, experiments, evidence, causality, and limitations.