Agent skill

medchem

Medicinal chemistry filters. Apply drug-likeness rules (Lipinski, Veber), PAINS filters, structural alerts, complexity metrics, for compound prioritization and library filtering.

FreedomIntelligencegithub.com/FreedomIntelligenceGitHub ↗
claude-codeships scripts
Install
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill medchem --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 4
SKILL.md size: 10 KB
Bundled scripts: yes
Path: skills/medchem/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,909
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Medchem ## Overview Medchem is a Python library for molecular filtering and prioritization in drug discovery workflows. Apply hundreds of well-established and novel molecular filters, structural alerts, and medicinal chemistry rules to efficiently triage and prioritize compound libraries at scale. Rules and filters are context-specific—use as guidelines combined with domain expertise. ## When to Use This Skill This skill should be used when: - Applying drug-likeness rules (Lipinski, Veber, etc.) to compound libraries - Filtering molecules by structural alerts or PAINS patterns - Prioritizing compounds for lead optimization - Assessing compound quality and medicinal chemistry properties - Detecting reactive or problematic functional groups - Calculating molecular complexity metrics ## Installation ```bash uv pip install medchem ``` ## Core Capabilities ### 1. Medicinal Chemistry Rules Apply established drug-likeness rules to molecules using the `medchem.rules` module. **Available Rules:** - Rule of Five (Lipinski) - Rule of Oprea - Rule of CNS - Rule of leadlike (soft and strict) - Rule of three - Rule of Reos - Rule of drug - Rule of Veber - Golden triangle - PAINS filters **Sing

What's inside
Steps it walks through
  1. Overview
  2. When to Use This Skill
  3. Installation
  4. Core Capabilities
  5. 1. Medicinal Chemistry Rules
  6. 2. Structural Alert Filters
  7. 3. Functional API for High-Level Operations
  8. 4. Chemical Groups Detection
  9. 5. Named Catalogs
  10. 6. Molecular Complexity
  11. 7. Constraints Filtering
  12. 8. Medchem Query Language
  13. Workflow Patterns
  14. Pattern 1: Initial Triage of Compound Library
Ships with 3 files
  • references/api_guide.md
  • references/rules_catalog.md
  • scripts/filter_molecules.py
Commands it runs
uv pip install medchem
python scripts/filter_molecules.py input.csv --rules rule_of_five,rule_of_cns --alerts nibr --output filtered.csv
More from OpenClaw-Medical-Skills
All skills →
About this skill
What does the medchem skill do?

Medicinal chemistry filters. Apply drug-likeness rules (Lipinski, Veber), PAINS filters, structural alerts, complexity metrics, for compound prioritization and library filtering.

How do I install it?

Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill medchem --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From FreedomIntelligence/OpenClaw-Medical-Skills, a repository with 2,909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going