antibody-design-agent SKILL.md skillA

antibody-design-agent from fridrichmethod/awesome-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add fridrichmethod/awesome-skills/antibody-design-agent@git:20260520.7a7a671

Pins git:20260520.7a7a671 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
fridrichmethod/awesome-skills
Path
skills/antibody-design-agent/SKILL.md
Versions recorded
2
Latest version
git:20260520.7a7a671, committed May 20, 2026
First version recorded
May 17, 2026
Size
2,760 bytes
Repository stars
15
License
a license file GitHub does not identify

An advanced agent for de novo antibody design and optimization using state-of-the-art protein language models (MAGE, RFdiffusion).

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

<!--
# COPYRIGHT NOTICE
# This file is part of the "Universal Biomedical Skills" project.
# Copyright (c) 2026 MD BABU MIA, PhD <md.babu.mia@mssm.edu>
# All Rights Reserved.
#
# This code is proprietary and confidential.
# Unauthorized copying of this file, via any medium is strictly prohibited.
#
# Provenance: Authenticated by MD BABU MIA

-->

# Antibody Design Agent

This skill brings together cutting-edge tools for antibody engineering, including MAGE (Monoclonal Antibody Generator) and RFdiffusion for Antibodies. It enables the de novo design of antibodies against specific viral or tumoral targets.

## When to Use This Skill

*   **De Novo Design**: Generating antibody sequences/structures that bind to a specific antigen.
*   **Epitope Targeting**: Designing VHH or binders for a specific epitope on a target protein.
*   **Optimization**: Improving the affinity or stability of an existing antibody candidate.
*   **Viral Defense**: Rapidly generating antibodies against novel viral strains.

## Core Capabilities

1.  **MAGE (Monoclonal Antibody Generator)**: Uses a protein language model to generate diverse antibody sequences against unseen viral strains.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add fridrichmethod/awesome-skills/antibody-design-agent@sha256:e576013178cdf9cb

The line at the top of this page pins the label git:20260520.7a7a671, 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_f5ey5dlzm2koi2mx.svg)](https://markdownregistry.com/a/art_f5ey5dlzm2koi2mx)

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

Versions

The registry has recorded 2 versions of this file, between May 17, 2026 and May 20, 2026, about one every 4 days. Its first recorded version is graded C and its latest A.

versioncommittedcommitsizeaudit
git:20260520.7a7a671 latest2026-05-20 7a7a671 2,760 BA view · diff
git:20260517.81511a72026-05-17 81511a7 2,759 BC 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 (2760 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

fridrichmethod/awesome-skills · 15 stars · license a license file GitHub does not identify · pushed 2026-10-18 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_f5ey5dlzm2koi2mx
GET https://markdownregistry.com/api/v1/resolve?ref=fridrichmethod/awesome-skills/antibody-design-agent
GET https://markdownregistry.com/api/v1/blob/e576013178cdf9cb282b8de3ff2987ae1288e5d2dbbf5190e96d5a4aee9b6470

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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