rfd4-proteina-evaluate SKILL.md skillA

rfd4-proteina-evaluate 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-evaluate@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
skills/bionemo-agent-toolkit/skills/rfd4-proteina-evaluate/SKILL.md
Versions recorded
1
Latest version
git:20261020.65f97c4, committed Oct 20, 2026
Size
9,633 bytes
Repository stars
503
License
a license file GitHub does not identify

Use when scoring existing RFD4-Proteina designs, aggregating metrics, adding custom metrics, or clustering diversity.

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 Evaluate (post-hoc metrics + aggregation)

## Purpose

Score structures that already exist on disk, without re-running generation.
`evaluate.py` shares the exact same metrics stack and Hydra config as generation,
so any `metrics_tags` or custom-metric config behaves identically inline and
offline. The two things this skill exists to get right: (1) pick the *right*
metric tags for the design task (and know which ones silently need the AF3
container), and (2) aggregate the parallel per-job CSVs into one table before you
try to read results.

Run everything from the repository root (the directory containing `.project-root`). **All arguments are
Hydra `key=value`, never `--key value`.**

## Inline (during generation) vs post-hoc (this skill)

- **Inline** — pass `metrics_tags` to `generate.py`; metrics run immediately
  after each design and land in `per_example_metrics.csv` next to the CIFs. Best
  when you already know what you want measured. See **rfd4-proteina-generate**.
- **Post-hoc** — this skill. Score a folder of CIFs you already generated, add
  metrics you forgot to turn on, or re-score with different tags. Same config,
  same outputs.

## Prerequisites
…

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-evaluate@sha256:be647da3834875e7

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_2x5fgrbjfodw775t.svg)](https://markdownregistry.com/a/art_2x5fgrbjfodw775t)

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 9,633 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 (9633 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_2x5fgrbjfodw775t
GET https://markdownregistry.com/api/v1/resolve?ref=nvidia-bionemo/bionemo-agent-toolkit/rfd4-proteina-evaluate
GET https://markdownregistry.com/api/v1/blob/be647da3834875e73ae897711de2cf7e4a39ddc5123029fdf7b9d1d3bd697966

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-evaluate

rfd4-proteina-evaluate SKILL.md skill
nvidia-bionemo/bionemo-agent-toolkit · open-models-skills/rfd4-proteina/rfd4-proteina-evaluate/SKILL.md · Use when scoring existing RFD4-Proteina designs, aggregating metrics, adding custom metrics, or clustering diversity.
git:20261020.65f97c4 · audit A · 503 stars

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