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Esmfold2

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esmfold2

Esmfold2 is an Agent Skill for general use published in the companion-inc/feynman repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.

Predict quick protein structures with ESMFold-style workflows. Use when a task needs fast MSA-free folding, sequence triage, variant structure screening, or confidence review.

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How to use this skill

Bring this guide into your coding agent with a prompt tailored to the tool you use.

  1. Open your project in Codex.
  2. Copy and paste the prompt below.
  3. Review files and risks before approving any action.
Prompt to paste
Inspect the Agent Skill at https://github.com/companion-inc/feynman/blob/HEAD/skills/esmfold2/SKILL.md and all supporting files. Report provenance, permissions, scripts, dependencies, and security risks. Propose an exact installation into .agents/skills/esmfold2, but wait for my approval before writing files or running scripts.

Copying this prompt does not install or run the skill. Review third-party files before use.

ESMFold2

Use this skill when a fast protein fold hypothesis is useful before heavier structure prediction.

Workflow:

  1. Normalize sequences into FASTA and record identifiers, mutations, truncations, domains, and oligomer assumptions.
  2. Verify the local or endpoint route before running.
  3. Save FASTA, model version, command or request body, predicted PDB/mmCIF, pLDDT/confidence outputs, and logs.
  4. Flag low-confidence regions, missing multimers, disorder, membrane regions, and sequence lengths outside the chosen route's limits.
  5. Use RDKit/3Dmol/PDB previews and source-backed comparisons when the output influences a research decision.

Use ESMFold-style predictions for triage unless an independent check supports the structural claim.