# Fair Esm2

> Use ESM2 protein language models for embeddings, mutation scoring, remote homology, or representation analysis. Use when a task needs protein embeddings, zero-shot variant scores, clustering, or sequence-function triage.

- Skill: `advaitpaliwal/fair-esm2` (Agent Skill)
- Install (CLI): `npx skillmds@latest add advaitpaliwal/fair-esm2`
- Raw SKILL.md: https://api.skillmd.com/api/skills/advaitpaliwal/fair-esm2/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/fair-esm2

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# Fair ESM2

Use this skill for ESM2-style protein language model analysis.

Workflow:

1. Normalize proteins into FASTA with stable identifiers and mutation notation.
2. Verify the local package, checkpoint, endpoint, or notebook route before execution.
3. Save embeddings, variant-score tables, clustering plots, model version, command, and runtime logs.
4. Compare model-derived rankings against UniProt, structures, conservation, assays, or literature.
5. Mark sequence regions with poor coverage, disorder, low homology, or domain-boundary ambiguity.

Use ESM2 outputs as features or hypotheses unless a source-backed validation step supports the conclusion.