rdkit-molecular-descriptors
Use this skill to compute compact cheminformatics descriptors from one SMILES string with RDKit.
Skill by ma-compbio-lab
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
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- 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.
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Signals
- Stars
- 43
- Forks
- 6
- Open issues
- 0
- Last commit (this folder)
- Apr 2, 2026 (7 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/ma-compbio-lab/SkillFoundry
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
rdkit-molecular-descriptors skill. Agent Mart. https://agentmart.dev/skills/ma-compbio-lab-rdkit-molecular-descriptors (last updated 2026-10-24)