synthetic-sciences/openscience is an AI workbench that carries out scientific research by reading papers, forming hypotheses, writing and running code, conducting experiments, analyzing results, and preparing reports. Researchers use it for work in machine learning, biology, physics, and chemistry with remote or local models. Catalogue add-ons extend its scientific workflows through skills and instructions.
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 synthetic-sciences/openscience --skill givemeanodegit clone --depth 1 https://github.com/synthetic-sciences/openscienceWrote 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/synthetic-sciences/openscience/givemeanode)<a href="https://agentmods.dev/skills/synthetic-sciences/openscience/givemeanode"><img src="https://agentmods.dev/badge/skills/synthetic-sciences/openscience/givemeanode/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/synthetic-sciences/openscience/givemeanode"><img src="https://agentmods.dev/badge/skills/synthetic-sciences/openscience/givemeanode.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00046 | $0.01162 |
| Opus 5.5 | $0.00018 | $0.00465 |
| Sonnet 5.5 | $0.00009 | $0.00232 |
| Haiku 4.5 | $0.00005 | $0.00116 |
Grade A, and why
givemeanode-agent-compute 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 — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GiveMeANode through MCP
Use the configured givemeanode MCP connector. Do not install or invoke gman, call the HTTP API directly, or ask for a service token when the MCP tools are available. The connector owns OAuth; OpenScience's MCP permission boundary owns each tool invocation.
GiveMeANode is not currently a native compute_job target. Use its discovered MCP tools directly, and do not claim that a remote node or batch job is tracked, recoverable, or releasable through OpenScience's JobBroker.
Start with live state
- Read the available MCP tools and the
gman://docs/llms.txtresource before relying on remembered arguments. The service contract is versioned and/previewmay evolve. - Read
list_limits,get_billing, relevant nodes/jobs, and the current published rate before proposing paid work. Never hard-code prices, availability, queue time, images, or limits. If role-scoped billing inspection is refused, surface that gap instead of assuming funds or headroom. - In a shared workspace, pass a stable mission and inspect
yours,created_by, andsame_missionbefore stopping or deleting anything.
The exact locked rate and job cost ceiling arrive in the create/submit response, not from a separate quote operation. Before that mutation, show the current published estimate, the requested maximum duration, and the applicable workspace or organization cap. If the user has not authorized work with a price that is only locked on submission, do not submit it. Preserve the returned rate and cost ceiling in the handoff.
Choose the right primitive
- Use an interactive node when work needs a persistent encrypted disk or repeated commands. Stopping parks the disk and stops billing; processes do not survive a stop.
- Use a batch job for unattended, queueable work with declared outputs, checkpoints, or sweeps. Prefer this over holding an idle node.
- Use a detached command for node work that may outlive one tool call. Retain its command ID and page logs by offset.
- Use rollout sandboxes for short-lived fork/snapshot workloads, not as a substitute for persistent training storage.
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 First seen · 63 lines · 46 tokens per session scan A 0e2af7e55e3e
givemeanode-agent-compute is a skill published in the GitHub repository synthetic-sciences/openscience (4,193 stars, last pushed yesterday), licensed Apache-2.0. It adds 46 tokens to every session and 1,162 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 2026-09-03.
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