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 tensorpoolgit 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/tensorpool)<a href="https://agentmods.dev/skills/synthetic-sciences/openscience/tensorpool"><img src="https://agentmods.dev/badge/skills/synthetic-sciences/openscience/tensorpool/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/tensorpool"><img src="https://agentmods.dev/badge/skills/synthetic-sciences/openscience/tensorpool.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 Excessive Agency · line 23 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00034 | $0.00861 |
| Opus 5.5 | $0.00014 | $0.00344 |
| Sonnet 5.5 | $0.00007 | $0.00172 |
| Haiku 4.5 | $0.00003 | $0.00086 |
Grade A, and why
tensorpool-gpu-cloud 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TensorPool GPU Cloud
Use this skill for TensorPool cluster, job, and storage workflows. Treat provider availability, instance names, quotas, and prices as live data: inspect them at execution time and never rely on values copied into a skill.
OpenScience credential boundary
- A key saved in Customize > Compute > TensorPool is encrypted control-plane data. It is not exported into Bash, Task, notebooks, kernels, plugins, or MCP servers.
- Use
provider_computewithaccount,list_resources,resource_status,list_jobs, orjob_statusfor live reads. OpenScience selects the exact reviewedtpargv, admits the key only to that isolated child, and markslast_usedonly after success. - Test connection uses the same boundary for exactly
tp --no-input me. - The saved key is admitted only when Test connection approves a root/admin-managed, non-writable
tpexecutable. A normal user-owned pip, pipx, or Homebrew install is credential-only and cannot be used byprovider_compute; use an administrator-managed install or wait for a managed/native adapter. - Never print, echo, persist, or ask the user to paste a saved key into chat.
- A generic agent shell can use
tponly when the user has independently authenticated that shell. The saved credential cannot create, submit, edit, attach, destroy, or otherwise mutate resources; do not ask the user to weaken this boundary.
Current CLI contract
For an independently authenticated user shell, install and inspect the CLI rather than guessing its version. This does not make a user-owned install eligible for the saved-key broker:
python -m pip install tensorpool
tp --help
tp --no-input me
The first-party CLI reads TENSORPOOL_KEY. The read-only identity check is tp --no-input me.
The broker maps its read operations to these current official commands:
tp cluster list
tp job list
tp storage list
storage list is not yet exposed by the broker. Run it only in an independently authenticated user shell.
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 · 70 lines · 34 tokens per session scan A 0e4b7b91321a
tensorpool-gpu-cloud is a skill published in the GitHub repository synthetic-sciences/openscience (4,121 stars, last pushed 2d ago), licensed Apache-2.0. It adds 34 tokens to every session and 861 once invoked, about $0.0001 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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Dark-themed SVG architecture/cloud/infra diagrams as HTML.
claw-admin
Claw system administration: service management, IM connections, logs, cron, and workspace diagnostics. Use when the user asks to manage claw services, connect/disconnect IM platforms, view logs, or perform system-wide operations.
x-theme
Change terminal command line prompt theme. Globally manage the display style of all x-cmd interactive components. Supports multiple theme vendors: theme, starship, ohmyposh. Dependency: This is an x-cmd module. Install x-cmd first (see x-cmd skill for installation options). see x-cmd skill for installation.
x-arp
Display ARP cache table with MAC vendor lookup and suspicious entry detection. Supports CSV, TSV, and TUI output. Dependency: This is an x-cmd module. Install x-cmd first (see x-cmd skill for installation options). see x-cmd skill for installation.
x-route
Route table viewer with multiple output formats. Display network routing table in CSV, TSV, or raw format. Dependency: This is an x-cmd module. Install x-cmd first (see x-cmd skill for installation options). see x-cmd skill for installation.