MAGE

SkillDev tools

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

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

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About this skill

The largest open-source medical AI skills library for OpenClaw🦞.

What this skill tells your AI

The instructions your AI receives, as published by freedomintelligence/openclaw-medical-skills in skills/antibody-design-agent/MAGE/SKILL.md and read by ahel’s review.

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 propose antigen-conditioned antibody sequences for downstream structural validation.

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

Automated review, not a security audit. Ruleset v1+k2.

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