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 ginkgo-cloud-labgit 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/ginkgo-cloud-lab)<a href="https://agentmods.dev/skills/synthetic-sciences/openscience/ginkgo-cloud-lab"><img src="https://agentmods.dev/badge/skills/synthetic-sciences/openscience/ginkgo-cloud-lab/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/ginkgo-cloud-lab"><img src="https://agentmods.dev/badge/skills/synthetic-sciences/openscience/ginkgo-cloud-lab.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 | $0.00135 | $0.02205 |
| Opus 5.5 | $0.00054 | $0.00882 |
| Sonnet 5.5 | $0.00027 | $0.00441 |
| Haiku 4.5 | $0.00014 | $0.00220 |
Grade A, and why
ginkgo-cloud-lab 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.
This is a copy
89% identical to ginkgo-cloud-lab — 68 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ginkgo Cloud Lab
Overview
Ginkgo Cloud Lab (https://cloud.ginkgo.bio) provides remote access to Ginkgo Bioworks' autonomous lab infrastructure. Protocols are executed on Reconfigurable Automation Carts (RACs) -- modular units with robotic arms, maglev sample transport, and industrial-grade software spanning 70+ instruments.
The platform also includes EstiMate, an AI agent that accepts human-language protocol descriptions and returns feasibility assessments and pricing for custom workflows beyond the listed protocols.
The catalog is organized into Expression & Purification (in vitro / cell-free / E. coli / Pichia), Characterization & Assay, Method & Target Onboarding, and Specialty. Pick a protocol below, then read its reference file for inputs, outputs, the automated workflow, and ordering details.
Available Protocols
Expression & Purification - In vitro
| Protocol | Readout | Price | Turnaround | Status |
|---|---|---|---|---|
| IVT mRNA/circRNA Synthesis | qPCR (mRNA or circRNA, 384-well) | $99/sample | up to 12 business days | Certified |
Expression & Purification - Cell-free (E. coli CFPS)
| Protocol | Readout | Price | Turnaround | Status |
|---|---|---|---|---|
| Validate sequence expression | Go/no-go titer + purity (up to 1800 bp) | $39/sample | up to 10 days | Certified |
| Optimize expression conditions | DoE across 24 conditions | $199/sample | up to 11 days | Certified |
| Express + quantify (HiBiT) | Luminescence, no purification | $39/sample | up to 11 days | Certified |
| Express + purify (A280) | Strep-tag, A280 yield | $149/sample | up to 11 days | Certified |
| Express + purify minibinder | Strep-tag, A280, LabChip | $149/sample | up to 11 days | Certified |
| Express + purify (A280 + LabChip) | Strep-tag, A280 + purity/size | $159/sample | up to 12 days | Certified |
What ships with it
17 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.
- references/cell-free-protein-expression-hibit.md 2.1 KB
- references/cell-free-protein-expression-optimization.md 2.6 KB
- references/cell-free-protein-expression-validation.md 2.0 KB
- references/cfps-expression-purification-quantification.md 2.4 KB
- references/cfps-strep-purification-thermal-shift.md 3.1 KB
- references/cfps-strep-tag-purification-a280.md 2.2 KB
- references/echo-ms-cfps-detection.md 1.8 KB
- references/echo-ms-method-onboarding.md 2.4 KB
- references/ecoli-expression-purification-quantification.md 2.3 KB
- references/ecoli-minibinder-expression-histag-a280.md 2.4 KB
- references/ecoli-protein-expression-hibit.md 1.9 KB
- references/ecoli-protein-expression-histag-a280.md 2.1 KB
- references/fluorescent-pixel-art-generation.md 2.8 KB
- references/ivt-rna-synthesis-qpcr.md 2.1 KB
- references/minibinder-strep-tag-a280.md 2.2 KB
- references/pichia-protein-expression-labchip.md 2.0 KB
- references/spr-target-onboarding.md 2.0 KB
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 · +5 lines 38df5825513e
- 1mo ago First seen · 127 lines · 135 tokens per session scan A e9fc6a0a6462
ginkgo-cloud-lab is a skill published in the GitHub repository synthetic-sciences/openscience (4,025 stars, last pushed today), licensed Apache-2.0. It adds 135 tokens to every session and 2,205 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 89% identical to ginkgo-cloud-lab, differing in 68 lines, and is treated as a copy.
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