proteinmpnn SKILL.md skillA

proteinmpnn from aipoch/open-science is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add aipoch/open-science/proteinmpnn@git:20260814.c9a70d8

Pins git:20260814.c9a70d8 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
aipoch/open-science
Path
resources/skills/proteinmpnn/SKILL.md
Versions recorded
2
Latest version
git:20260814.c9a70d8, committed Aug 14, 2026
First version recorded
Jul 14, 2026
Size
5,258 bytes
Repository stars
5,279
License
Apache-2.0

Inverse-fold a protein backbone (PDB structure) into amino-acid sequence with ProteinMPNN (Dauparas et al. 2022, github.com/dauparas/ProteinMPNN). Reach for this skill to run sequence design on RFdiffusion backbones, to redesign one chain of a PDB while holding interface residues fixed, or to generate a temperature-swept set of sequences for downstream folding.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# ProteinMPNN

ProteinMPNN is the default inverse-folding step in the binder pipeline: a
message-passing network that sees backbone geometry only, so it is the right
choice when the design surface is protein–protein and the wrong one as soon as
a ligand, nucleic acid, or metal is part of the interface — `ligandmpnn` adds
those atoms to the graph with a near-identical CLI, and `solublempnn` swaps in
weights trained on soluble structures for an expression-biased prior. Code and
weights are MIT (github.com/dauparas/ProteinMPNN). The model is small enough
to run on CPU — for a handful of sequences on one backbone that is seconds and
usually faster than dispatching a remote job; a GPU helps for batched
campaigns (hundreds of backbones or large `--num_seq_per_target`). Either way
the repo is cloned in-job — there is no PyPI dist and the checkpoints are
bundled in the repo.

## Running it

```bash
pip install torch numpy   # if not already present
git clone --depth 1 https://github.com/dauparas/ProteinMPNN.git proteinmpnn
cd proteinmpnn
python protein_mpnn_run.py \
  --pdb_path backbone.pdb --pdb_path_chains "A" \
  --out_folder out --num_seq_per_target 16 --sampling_temp "0.1"
```
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add aipoch/open-science/proteinmpnn@sha256:fb284aced53d394b

The line at the top of this page pins the label git:20260814.c9a70d8, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_qaqzdxo3flu5duup.svg)](https://markdownregistry.com/a/art_qaqzdxo3flu5duup)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Jul 14, 2026 and Aug 14, 2026, about one every 31 days.

versioncommittedcommitsizeaudit
git:20260814.c9a70d8 latest2026-08-14 c9a70d8 5,258 BA view · diff
git:20260714.a2a32822026-07-14 a2a3282 4,587 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (5258 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

aipoch/open-science · 5,279 stars · license Apache-2.0 · pushed 2026-10-19 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_qaqzdxo3flu5duup
GET https://markdownregistry.com/api/v1/resolve?ref=aipoch/open-science/proteinmpnn
GET https://markdownregistry.com/api/v1/blob/fb284aced53d394b82411b022ab00ff1da07be2fd16da4d4d08d28d6e74540ba

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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Every file in aipoch/open-science

Other files named proteinmpnn

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git:20260715.38d79be · audit A · 3 stars

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