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OpenClaw-Medical-Skills chemistry-agent

<!--

install
source · Clone the upstream repo
git clone https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/chemistry-agent" ~/.claude/skills/freedomintelligence-openclaw-medical-skills-chemistry-agent && rm -rf "$T"
OpenClaw · Install into ~/.openclaw/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/chemistry-agent" ~/.openclaw/skills/freedomintelligence-openclaw-medical-skills-chemistry-agent && rm -rf "$T"
manifest: skills/chemistry-agent/SKILL.md
tags
#chemistry-synthesis#molecule-analysis#reaction-prediction#lab-automation
source content
<!-- # 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: chemistry-agent description: Autonomous chemical synthesis & analysis keywords:

  • chemistry
  • synthesis
  • molecules
  • reaction
  • lab-automation measurable_outcome: Successfully plans valid synthesis routes for 90% of target small molecules. license: MIT metadata: author: Biomedical OS Team version: "1.0.0" compatibility:
  • system: Python 3.10+ allowed-tools:
  • run_shell_command
  • read_file
  • write_file

Chemistry Agent

The Chemistry Agent is a specialized module for autonomous chemical reasoning, synthesis planning, and property prediction. It integrates with computational chemistry tools and potentially lab automation hardware.

When to Use This Skill

  • When you need to design a synthesis route for a molecule.
  • When predicting chemical properties (solubility, toxicity).
  • When analyzing reaction mechanisms.

Core Capabilities

  1. Retrosynthesis: Planning backward from target to starting materials.
  2. Property Prediction: Estimating physicochemical properties.
  3. Reaction Optimization: Suggesting optimal conditions.

Example Usage

User: "Plan a synthesis route for Aspirin."

Agent Action:

python3 src/chemistry/main.py --target "Aspirin" --task "retrosynthesis"
<!-- AUTHOR_SIGNATURE: 9a7f3c2e-MD-BABU-MIA-2026-MSSM-SECURE -->