# Evo2

> Use Evo2-style biological sequence models for generation, scoring, or variant-effect analysis. Use when a task asks about DNA/RNA/protein sequence likelihood, editing, design, or long-context biological modeling.

- Skill: `advaitpaliwal/evo2` (Agent Skill)
- Install (CLI): `npx skillmds@latest add advaitpaliwal/evo2`
- Raw SKILL.md: https://api.skillmd.com/api/skills/advaitpaliwal/evo2/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Productivity
- Author: advaitpaliwal (https://skillmd.com/u/advaitpaliwal)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/advaitpaliwal/evo2

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# Evo2

Use this skill for biological sequence-model work.

Workflow:

1. Define the sequence type, coordinate system, genome/proteome source, objective, constraints, and evaluation metric.
2. Verify the model endpoint, checkpoint, tokenizer, max context, and license/access boundary before running.
3. Save input sequences, prompts or scoring windows, model version, parameters, seeds, raw outputs, and parsed tables.
4. Separate source-owned biological facts from model-owned scores, generated variants, or predictions.
5. Validate top candidates against databases, conservation, known motifs, structure, or experiments before presenting them as actionable.

Keep generated sequences bounded and auditable.