evo2 · git:20261014.9f2a5e0 · 2026-10-14 · sha256 6fa32476e0de4946
evo2 git:20261014.9f2a5e0A
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--- name: evo2 description: 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. --- # 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.