ginkgo-cloud-lab SKILL.md skillA
ginkgo-cloud-lab from k-dense-ai/scientific-agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add k-dense-ai/scientific-agent-skills/ginkgo-cloud-lab@v2.3Pins v2.3 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- k-dense-ai/scientific-agent-skills
- Path
skills/ginkgo-cloud-lab/SKILL.md- Versions recorded
- 6
- Latest version
- v2.3, committed Oct 1, 2026
- First version recorded
- May 27, 2026
- Size
- 11,256 bytes
- Repository stars
- 56,497
- License
- MIT
Guides protocol selection, input preparation, pricing checks, and browser ordering on Ginkgo Bioworks Cloud Lab (cloud.ginkgo.bio). Applies to cell-free, E. coli, and Pichia protein expression; HiBiT, A280, and LabChip readouts; IVT mRNA/circRNA synthesis; thermal shift assays; Echo-MS methods; SPR target onboarding; plate-reader assay onboarding; and fluorescent pixel art.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Ginkgo Cloud Lab ## Overview Ginkgo Cloud Lab (https://cloud.ginkgo.bio) provides remote access to Ginkgo Bioworks' autonomous lab infrastructure. Protocols use Reconfigurable Automation Carts (RACs), modular units with robotic arms and plate transport, across a catalog-advertised fleet of 70+ integrated instruments. The platform also includes **EstiMate**, a compatibility and pricing assistant that accepts protocol descriptions, files, or links and returns preliminary estimates for custom workflows. 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 The following prices, availability labels, and turnaround text are a **2026-09-30 catalog snapshot**, not a configured quote. References link to the corresponding service terms. Catalog and terms sometimes disagree on days versus business days, input format, or readout scope; resolve those differences in the service order. …
Read the whole file at its exact version.
How to install
mdr add k-dense-ai/scientific-agent-skills/ginkgo-cloud-lab@sha256:b3675d3ad36070fdThe line at the top of this page pins the label v2.3, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_v6j3sjtfnixogqqt)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 6 versions of this file, between May 27, 2026 and Oct 1, 2026, about one every 25 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v2.3 latest | 2026-10-01 | a92663a | 11,256 B | A | view · diff |
| v2.2 | 2026-09-30 | ce9e6e9 | 8,806 B | A | view · diff |
| v2.1 | 2026-09-02 | 1e5eeff | 8,311 B | A | view · diff |
| v2.0 | 2026-06-23 | 9c9bd2e | 7,324 B | A | view · diff |
| git:20260611.1b8fae3 | 2026-06-11 | 1b8fae3 | 3,498 B | A | view · diff |
| v1.0 | 2026-05-27 | 0936740 | 3,496 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (11256 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
k-dense-ai/scientific-agent-skills · 56,497 stars · license MIT · pushed 2026-11-02 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_v6j3sjtfnixogqqt GET https://markdownregistry.com/api/v1/resolve?ref=k-dense-ai/scientific-agent-skills/ginkgo-cloud-lab GET https://markdownregistry.com/api/v1/blob/b3675d3ad36070fd598642fd2b58c36d3cfd09a08eef3f52d77629856e2e845b
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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