Evo 2 (Claude Skill)
Generates and scores biological sequences across DNA, RNA, and protein with the Evo 2 genome language model, driven as a Claude skill.
| Type | Claude Skill |
| Supplier | Arc Institute |
| Availability | GA — Claude Science research skill |
| Pricing | Free / OSS (Apache-2.0); NVIDIA-hosted inference metered per NVIDIA terms |
| Capabilities | Read/Write — sequence generation and variant likelihood scoring |
| Verified | works · 2026-07-20 |
| Security | cleared · 2026-07-20 — provenance matches ArcInstitute/evo2, Apache-2.0, active, no advisories |
How to install
- Claude Science — enable the built-in Evo 2 research skill (Anthropic-hosted; not published to the public
anthropics/life-sciencesmarketplace). - Run the model yourself — the upstream model is open source:
git clone https://github.com/ArcInstitute/evo2Follow the repo README for environment setup and model weights.
What it does
Runs Evo 2 for long-context genomic sequence modelling: de novo sequence generation, zero-shot variant-effect scoring, and embedding extraction. Local inference needs a Hopper-class GPU (FP8); otherwise use the NVIDIA-hosted inference API (NVIDIA NIM / build.nvidia.com).
Primary use cases: Genomic sequence generation, zero-shot variant-effect prediction, regulatory-element design
Notes
Claude Science: Featured as a research skill in Anthropic’s Claude Science. Its inclusion there is an independent signal of quality and trustworthiness for life-science work.
Local runs require a Hopper GPU with FP8 support; a hosted NVIDIA NIM endpoint is the alternative.
Sources
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