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 eric861129/SKILLS_All-in-one --skill ginkgo-cloud-labgit clone --depth 1 https://github.com/eric861129/SKILLS_All-in-oneWrote 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/eric861129/skills_all-in-one/ginkgo-cloud-lab)<a href="https://agentmods.dev/skills/eric861129/skills_all-in-one/ginkgo-cloud-lab"><img src="https://agentmods.dev/badge/skills/eric861129/skills_all-in-one/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/eric861129/skills_all-in-one/ginkgo-cloud-lab"><img src="https://agentmods.dev/badge/skills/eric861129/skills_all-in-one/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 | $0.00087 | $0.00755 |
| Opus 5.5 | $0.00035 | $0.00302 |
| Sonnet 5.5 | $0.00017 | $0.00151 |
| Haiku 4.5 | $0.00009 | $0.00076 |
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
100% identical to ginkgo-cloud-lab — 0 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 — 57 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.
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
2. Cell Free Protein Expression Optimization
DoE-based optimization across up to 24 conditions per protein (lysates, temperatures, chaperones, disulfide enhancers, cofactors). Designed for difficult-to-express and membrane proteins.
- Price: $199/sample | Turnaround: 6-11 days | Status: Certified
- Details: See references/cell-free-protein-expression-optimization.md
3. Fluorescent Pixel Art Generation
Transform a pixel art image (48x48 to 96x96 px, PNG/SVG) into fluorescent bacterial artwork using up to 11 E. coli strains via acoustic dispensing. Delivered as high-res UV photographs.
- Price: $25/plate | Turnaround: 5-7 days | Status: Beta
- Details: See references/fluorescent-pixel-art-generation.md
General Ordering Workflow
- Select a protocol at https://cloud.ginkgo.bio/protocols
- Configure parameters (number of samples/proteins, replicates, plates)
- Upload input files (FASTA for protein protocols, PNG/SVG for pixel art)
- Add any special requirements in the Additional Details field
- Submit and receive a feasibility report and price quote
What ships with it
3 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.
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 · 57 lines · 87 tokens per session scan A cb52652c0d44
ginkgo-cloud-lab is a skill published in the GitHub repository eric861129/SKILLS_All-in-one (52 stars, last pushed 6mo ago), licensed MIT. It adds 87 tokens to every session and 755 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to ginkgo-cloud-lab, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
jupyter-notebook
Iterative Python via live Jupyter kernel (hamelnb).
bioinformatics
Gateway to 400+ genomics and computational biology skills.
omh-biomedical-evidence
This is an OMH biomedical-evidence workflow skill, projected for Agent Skills hosts (Claude Code, Codex, Cursor, opencode, OpenClaw, pi).
thinking-scientific-method
When a symptom has several plausible causes, rank falsifiable hypotheses and run the cheapest discriminating observation first; prefer least-assumptive survivors only after evidence fit.
liucixin-perspective
A science-fiction writing aid focused on using scientific ideas to imagine large-scale consequences for people and civilizations. It combines technical detail with stories spanning different time periods, places, and levels of society.
pipeline-manifest
Build a traceability manifest linking analysis scripts to inputs, outputs, and manuscript figures or tables. Use when documenting a computational pipeline or locating the source of a reported artefact. Not for verifying that paper claims match code outputs; use the code-paper auditor.