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Mage Antibody Generator

ASecurity

--> --- name: mage-antibody-generator description: Ab seq forge keywords: - antibody - antigen - FASTA - generation - validation measurable_outcome: Generate the requested number of antibody sequences (default ≥5) with metadata (model checkpoint, seed) and deliver FASTA files within 10 minutes. license: MIT metadata: author: MAGE Team version: "1.0.0" compatibility: - system: Python 3.9+ / GPU allowed-tools: - run_shell_command - read_file --- Run the MAGE antibody generation workflow to prop...

2,984 stars
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Added 5/31/2026
toolspythonshellrails

Security Analysis

A100/100

Scanned 5/31/2026

Install to Claude Code

$npx -y skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill mage-antibody-generator --agent claude-code

Installs into .claude/skills of the current project.

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Files
SKILL.md
<!--
# 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

-->

---
name: mage-antibody-generator
description: Ab seq forge
keywords:
  - antibody
  - antigen
  - FASTA
  - generation
  - validation
measurable_outcome: Generate the requested number of antibody sequences (default ≥5) with metadata (model checkpoint, seed) and deliver FASTA files within 10 minutes.
license: MIT
metadata:
  author: MAGE Team
  version: "1.0.0"
compatibility:
  - system: Python 3.9+ / GPU
allowed-tools:
  - run_shell_command
  - read_file
---

# MAGE (Monoclonal Antibody Generator)

Run the MAGE antibody generation workflow to propose antigen-conditioned antibody sequences for downstream structural validation.

## Workflow
1. **Prep env:** `cd repo` and install dependencies, then point to GPU if available.
2. **Run generator:** `python generate_antibodies.py --antigen_sequence <SEQ> --num_candidates N --output_dir ./results`.
3. **Collect outputs:** Provide FASTA paths + metadata, optionally translate into JSON manifest.
4. **Recommend validation:** Suggest AlphaFold/Rosetta checks and wet-lab follow-up.

## Guardrails
- Never imply binding efficacy without structural/experimental confirmation.
- Track model version + seeds to ensure reproducibility.
- Encourage downstream filtering (liability motifs, developability metrics).

## References
- Source instructions in `README.md` and repo scripts.


<!-- AUTHOR_SIGNATURE: 9a7f3c2e-MD-BABU-MIA-2026-MSSM-SECURE -->

Attribution

FreedomIntelligenceFreedomIntelligence
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Your tool, in front of Claude Code builders.

3 founder slots · $299/mo · GSC-verified traffic · sponsors can never buy grades.

See placements

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