Evo2
SkillMediaLets your agent analyze DNA, RNA, or protein sequences by scoring likelihoods, predicting variant effects, or designing edits.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Evo2 skill
About this capability
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.
What this skill tells your AI
The instructions your AI receives, as published by companion-inc/feynman in skills/evo2/SKILL.md and read by ahel’s review.
Use this skill for biological sequence-model work.
Workflow:
- Define the sequence type, coordinate system, genome/proteome source, objective, constraints, and evaluation metric.
- Verify the model endpoint, checkpoint, tokenizer, max context, and license/access boundary before running.
- Save input sequences, prompts or scoring windows, model version, parameters, seeds, raw outputs, and parsed tables.
- Separate source-owned biological facts from model-owned scores, generated variants, or predictions.
- Validate top candidates against databases, conservation, known motifs, structure, or experiments before presenting them as actionable.
Keep generated sequences bounded and auditable.
Signals
- GitHub stars
- 9k
- Forks
- 1k
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
evo2- Source
- github.com/companion-inc/feynman