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rdkit-molecular-descriptors

Use this skill to compute compact cheminformatics descriptors from one SMILES string with RDKit.

Skill by ma-compbio-lab

IndexedApache-2.0★ 43
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/ma-compbio-lab-rdkit-molecular-descriptors

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About

Use this skill to compute compact cheminformatics descriptors from one SMILES string with RDKit. Do not use it for docking, quantum chemistry, or large library screening.

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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Install scripts
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Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/rdkit-molecular-descriptors

What's inside

Skill name
rdkit-molecular-descriptors
Description
Use this skill to compute compact cheminformatics descriptors from one SMILES string with RDKit. Do not use it for docking, quantum chemistry, or large library screening.
License
Apache-2.0
Instructions
49 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (11)

  • SKILL.md
  • README.md · assets/
  • aspirin_descriptors.json · assets/
  • README.md · examples/
  • aspirin.smiles · examples/
  • molecules.tsv · examples/
  • metadata.yaml
  • refs.md
  • compute_rdkit_descriptors.py · scripts/
  • README.md · tests/
  • test_compute_rdkit_descriptors.py · tests/

SKILL.md (first lines)

## Purpose
Turn a SMILES string into a compact descriptor summary suitable for quick triage, featurization, and metadata enrichment.

## When to use
- You need a local RDKit-backed molecular summary from a SMILES string.
- You want canonical SMILES, formula, weight, and simple physicochemical descriptors.

## When not to use
- You need conformer generation, docking, or reaction modeling.
- You need batch-scale descriptor computation for millions of compounds.

## Inputs
- One SMILES string
- Optional molecule name
- Optional JSON output path

## Outputs
- JSON summary with canonical SMILES, formula, exact mass, logP, TPSA, HBA/HBD, rotatable bonds, ring count, and heavy-atom count

## Requirements
- `slurm/envs/chem-tools` with RDKit available

## Procedure
1. Run `slurm/envs/chem-tools/bin/python skills/drug-discovery-and-cheminformatics/rdkit-molecular-descriptors/scripts/compute_rdkit_descriptors.py --smiles "CC(=O)OC1=CC=CC=C1C(=O)O" --name aspirin`.
2. Inspect `canonical_smiles`, `formula`, `molecular_weight`, and `tpsa`.
3. Reuse the JSON payload for downstream filtering or reporting.

## Validation
- The command exits successfully.
- `canonical_smiles` is non-empty for a known valid molecule.
- Descriptor fields are numeric where expected.

## Failure modes and fixes
- Invalid SMILES: verify the input string and quoting.
- Missing RDKit environment: run the script with `slurm/envs/chem-tools/bin/python`.

## Safety and limits
- Descriptor calculation only.
- No medicinal-chemistry or safety interpretation is implied.

## Provenance
- RDKit docs: https://www.rdkit.org/docs/index.html
- RDKit repository: https://github.com/rdkit/rdkit

## Related skills
- `chembl-molecule-search`

From ma-compbio-lab/SkillFoundry, Apache-2.0.

More from ma-compbio-lab/SkillFoundry

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Forks
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Last commit (this folder)
Apr 2, 2026 (7 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from ma-compbio-lab

Cite this page

rdkit-molecular-descriptors skill. Agent Mart. https://agentmart.dev/skills/ma-compbio-lab-rdkit-molecular-descriptors (last updated 2026-10-24)