LLM Evaluation

Evaluated by: xiaomi/mimo-v2-flash:free

Last evaluated: March 29, 2026

Prompt Quality

3.0 /5

Evaluation error: RetryError[]

Usefulness

3.0 /5

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Overall Rating

3.0 /5

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Prompt Preview

---
name: medchem
description: Medicinal chemistry filters. Apply drug-likeness rules (Lipinski, Veber), PAINS filters, structural alerts, complexity metrics, for compound prioritization and library filtering.
license: Apache-2.0 license
metadata:
    skill-author: K-Dense Inc.
---

# 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 medic...

Full prompt length: 10147 characters

Tools & Technologies

  • python
  • Python