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rdkit-scaffold-analysis-starter

Use this skill to compute Murcko scaffold summaries for a small local molecule set with RDKit.

Skill by ma-compbio-lab

IndexedApache-2.0★ 43
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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-scaffold-analysis-starter

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About

Use this skill to compute Murcko scaffold summaries for a small local molecule set with RDKit. Prefer it for deterministic scaffold grouping and smoke-scale cheminformatics checks.

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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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Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/rdkit-scaffold-analysis-starter

What's inside

Skill name
rdkit-scaffold-analysis-starter
Description
Use this skill to compute Murcko scaffold summaries for a small local molecule set with RDKit. Prefer it for deterministic scaffold grouping and smoke-scale cheminformatics checks.
License
Apache-2.0
Instructions
50 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (9)

  • SKILL.md
  • README.md · assets/
  • example_scaffold_summary.json · assets/
  • README.md · examples/
  • molecules.tsv · examples/
  • metadata.yaml
  • refs.md
  • run_rdkit_scaffold_analysis.py · scripts/
  • test_run_rdkit_scaffold_analysis.py · tests/

SKILL.md (first lines)

## Purpose
Analyze a small local TSV of SMILES strings with RDKit Murcko scaffolds and emit a compact JSON summary that can feed later smoke integration or scaffold triage workflows.

## When to use
- You need a local scaffold grouping summary for a small curated molecule set.
- You want canonical SMILES, Murcko scaffolds, generic scaffolds, and group counts from one deterministic run.

## When not to use
- You need large library clustering, matched molecular pair analysis, or SAR interpretation.
- You need remote compound lookup or medicinal-chemistry recommendations.

## Inputs
- A TSV file with columns `name` and `smiles`
- Optional JSON output path

## Outputs
- JSON with per-molecule canonical SMILES, Murcko scaffold, generic scaffold, scaffold groups, generic scaffold groups, and summary counts

## Requirements
- `slurm/envs/chem-tools/bin/python`
- RDKit available in that environment

## Procedure
1. Inspect `examples/molecules.tsv`.
2. Run `slurm/envs/chem-tools/bin/python skills/drug-discovery-and-cheminformatics/rdkit-scaffold-analysis-starter/scripts/run_rdkit_scaffold_analysis.py --input skills/drug-discovery-and-cheminformatics/rdkit-scaffold-analysis-starter/examples/molecules.tsv`.
3. Review `molecules`, `scaffold_groups`, and `summary`.

## Validation
- The bundled example returns at least one scaffold group with count `>= 2`.
- Invalid SMILES input returns a non-zero exit code with a clear error message.

## Failure modes and fixes
- Invalid SMILES: fix the offending row in the input TSV.
- Missing RDKit environment: rerun with `slurm/envs/chem-tools/bin/python`.
- Missing `name` or `smiles` columns: use a header row with exactly those field names.

## Safety and limits
- Local scaffold computation only.
- No medicinal-chemistry conclusions are implied by the grouping.

## Provenance
- RDKit docs: https://www.rdkit.org/docs/index.html
- RDKit Murcko scaffold API: https://www.rdkit.org/docs/source/rdkit.Chem.Scaffolds.MurckoScaffold.html
- RDKit repository: https://github.com/rdkit/rdkit

## Related skills
- `rdkit-molecular-descriptors`
- `rdkit-molecule-standardization`

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

More from ma-compbio-lab/SkillFoundry

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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

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