rfd4-proteina-autoresearch SKILL.md skillA

rfd4-proteina-autoresearch from nvidia-bionemo/bionemo-agent-toolkit is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add nvidia-bionemo/bionemo-agent-toolkit/rfd4-proteina-autoresearch@git:20261020.65f97c4

Pins git:20261020.65f97c4 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
nvidia-bionemo/bionemo-agent-toolkit
Path
open-models-skills/rfd4-proteina/rfd4-proteina-autoresearch/SKILL.md
Versions recorded
1
Latest version
git:20261020.65f97c4, committed Oct 20, 2026
Size
10,162 bytes
Repository stars
503
License
a license file GitHub does not identify

Use when iterating RFD4-Proteina design waves with explicit rewards, parameter sweeps, budgets, and promotion decisions.

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

# RFD4-Proteína Autoresearch

## Purpose

An autoresearch campaign is a **design → score → iterate** loop: generate
candidates, score them against an explicit reward, keep what improves the metric,
and let the results steer the next round. This skill is the *strategy layer* over
the mechanics that already exist:

- **rfd4-proteina-generate** — produce designs for a task.
- **rfd4-proteina-annotated-cif** — build or edit the annotated CIF that defines
  the design problem (length, epitope/hotspots, ligand).
- **rfd4-proteina-search** — reward-guided beam search (AF3 oracle) for a single run.
- **rfd4-proteina-evaluate** — metrics + aggregation + diversity clustering.

The value is not any single run — it is the **trajectory**: which hypotheses you
tested, where you reset, and what evidence spawned the next wave. Make the reward
and rules explicit so the loop is steerable and replaceable when you get better
evidence.

> Methodology note and provenance. The wave/branch loop and composite-reward
> engineering below are adapted from muni's autoresearch experiments
> ([scoring-function-dependent strategies](https://muni.bio/research/scoring-function-dependent-strategies),
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add nvidia-bionemo/bionemo-agent-toolkit/rfd4-proteina-autoresearch@sha256:07b78212ff37e9d6

The line at the top of this page pins the label git:20261020.65f97c4, 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_piss6i5hgxtwuhvc.svg)](https://markdownregistry.com/a/art_piss6i5hgxtwuhvc)

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

Versions

The registry has recorded 1 version of this file, committed on Oct 20, 2026.

versioncommittedcommitsizeaudit
git:20261020.65f97c4 latest2026-10-20 65f97c4 10,162 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 (10162 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

nvidia-bionemo/bionemo-agent-toolkit · 503 stars · license a license file GitHub does not identify · pushed 2026-11-05 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_piss6i5hgxtwuhvc
GET https://markdownregistry.com/api/v1/resolve?ref=nvidia-bionemo/bionemo-agent-toolkit/rfd4-proteina-autoresearch
GET https://markdownregistry.com/api/v1/blob/07b78212ff37e9d6723226d296803254de675181f570d33243cfdf7495232a60

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 nvidia-bionemo/bionemo-agent-toolkit

Other files named rfd4-proteina-autoresearch

rfd4-proteina-autoresearch SKILL.md skill
nvidia-bionemo/bionemo-agent-toolkit · skills/bionemo-agent-toolkit/skills/rfd4-proteina-autoresearch/SKILL.md · Use when iterating RFD4-Proteina design waves with explicit rewards, parameter sweeps, budgets, and promotion decisions.
git:20261020.65f97c4 · audit A · 503 stars

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