ginkgo-cloud-lab SKILL.md skillA
ginkgo-cloud-lab from marielynneblock/arcanum-artifex is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add marielynneblock/arcanum-artifex/ginkgo-cloud-lab@git:20260710.0115f49Pins git:20260710.0115f49 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- marielynneblock/arcanum-artifex
- Path
skills/scientific/ginkgo-cloud-lab/SKILL.md- Versions recorded
- 4
- Latest version
- git:20260710.0115f49, committed Jul 10, 2026
- First version recorded
- Apr 6, 2026
- Size
- 3,515 bytes
- Repository stars
- 4
- License
- none declared
Submit and manage protocols on Ginkgo Bioworks Cloud Lab (cloud.ginkgo.bio), a web-based interface for autonomous lab execution on Reconfigurable Automation Carts (RACs). Use when the user wants to run cell-free protein expression (validation or optimisation), generate fluorescent pixel art, or interact with Ginkgo Cloud Lab services. Covers protocol selection, input preparation, pricing, and ordering workflows.
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 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. ## Available Protocols ### 1. Cell Free Protein Expression Validation Rapid go/no-go expression screening using reconstituted E. coli CFPS. Submit a FASTA sequence (up to 1800 bp) and receive expression confirmation, baseline titer (mg/L), and initial purity with virtual gel images. - **Price:** $39/sample | **Turnaround:** 5-10 days | **Status:** Certified - **Details:** See [references/cell-free-protein-expression-validation.md](references/cell-free-protein-expression-validation.md) ### 2. Cell Free Protein Expression Optimisation …
Read the whole file at its exact version.
How to install
mdr add marielynneblock/arcanum-artifex/ginkgo-cloud-lab@sha256:6138434a8a7e8a4cThe line at the top of this page pins the label git:20260710.0115f49, 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_vg65w66qfvzwjolz)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 4 versions of this file, between Apr 6, 2026 and Jul 10, 2026, about one every 32 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260710.0115f49 latest | 2026-07-10 | 0115f49 | 3,515 B | A | view · diff |
| git:20260710.ffb3400 | 2026-07-10 | ffb3400 | 3,515 B | A | view · diff |
| git:20260515.b861afb | 2026-05-15 | b861afb | 3,515 B | A | view · diff |
| git:20260406.05dff34 | 2026-04-06 | 05dff34 | 3,469 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 (3515 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
marielynneblock/arcanum-artifex · 4 stars · license none declared · pushed 2026-09-19 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_vg65w66qfvzwjolz GET https://markdownregistry.com/api/v1/resolve?ref=marielynneblock/arcanum-artifex/ginkgo-cloud-lab GET https://markdownregistry.com/api/v1/blob/6138434a8a7e8a4c80bd80b8be549f721dd0ff5a34c60c980c461308f2018702
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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