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ginkgo-cloud-lab

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 protein expression and purification (cell-free, E. coli, or Pichia), HiBiT or A280 or LabChip quantification, IVT mRNA/circRNA synthesis, thermal shift / developability assays, Echo-MS enzyme or analyte methods, SPR target onboarding, fluorescent pixel art, or otherwise interact with Ginkgo Cloud Lab services. Covers protocol selection, input preparation, pricing, and ordering workflows.

72

Quality

89%

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

78%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

Well-structured content that uses an overview-plus-references pattern effectively, with a concrete ordering workflow and decision guide. Slight room to tighten the citation block and add an explicit pre-submit validation checkpoint.

Suggestions

Add an explicit validation checkpoint in the ordering workflow (e.g., 'Review the feasibility report and confirm inputs before approving the quote') to strengthen the feedback loop.

Tighten the 'Citing Scientific Agent Skills' section by moving the arXiv-fetch procedure into a short bulleted checklist rather than a prose paragraph.

Make the parameter-configuration step more concrete by listing the specific fields users must fill per protocol category (sequence vs. onboarding vs. pixel art).

DimensionReasoningScore

Conciseness

Tables keep the protocol catalog token-efficient and the overview supplies proprietary-platform context Claude lacks; minor trimmable verbosity in the citation-retrieval instructions.

4 / 5

Actionability

Concrete URLs, a 5-step ordering workflow, and input-template guidance give mostly executable direction; the parameter-configuration step remains somewhat generic, leaving a minor gap.

4 / 5

Workflow Clarity

The 'General Ordering Workflow' is a clear numbered sequence ending in a feasibility report that acts as an implicit checkpoint, though no explicit validation step is called out.

4 / 5

Progressive Disclosure

A clear catalog/overview body links to 17 verified one-level-deep reference files via tables, with no nested references and easy navigation.

5 / 5

Total

17

/

20

Passed

Description

100%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

An excellent description: third-person voice, concrete actions, comprehensive domain-specific trigger terms, and explicit what/when guidance. No first/second-person voice issues or over-claims.

DimensionReasoningScore

Specificity

Lists multiple concrete actions ('Submit and manage protocols', 'protocol selection, input preparation, pricing, and ordering workflows') alongside comprehensive coverage of the platform's protocol categories.

5 / 5

Completeness

Explicitly answers both 'what' (submit/manage protocols, selection, input prep, pricing, ordering) and 'when' ('Use when the user wants to run... or otherwise interact with Ginkgo Cloud Lab services').

5 / 5

Trigger Term Quality

Comprehensive natural domain terms a target user would actually say — protein expression/purification, HiBiT, A280, LabChip, IVT mRNA/circRNA, thermal shift, Echo-MS, SPR, fluorescent pixel art.

5 / 5

Distinctiveness Conflict Risk

Clear niche tied to a named proprietary platform (Ginkgo Cloud Lab) with specific named protocols, giving it distinct triggers and minimal conflict risk with other skills.

5 / 5

Total

20

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
K-Dense-AI/scientific-agent-skills
Reviewed

Table of Contents

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