assembly-index

Compute assembly index for molecules via dynamic programming shortest-path analysis.

60|13|Updated Dec 22, 2025
One-click install
npx skills add https://github.com/plurigrid/asi --skill assembly-index
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: assembly-index
Source: https://github.com/plurigrid/asi/tree/main/skills/assembly-index
Command: npx skills add https://github.com/plurigrid/asi --skill assembly-index

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill uses Assembly Index theory to quantify molecular complexity and identify biosignatures through minimal assembly steps and copy-number thresholds.

Core Features & Use Cases

  • Assembly Pathways: Compute the shortest construction path from primitives.
  • Copy Number Threshold: Combine abundance with complexity to signal life.
  • Mass Spec Integration: Correlate MS data with assembly DAGs.

Quick Start

Compute assembly index for a molecule with assembly-index, then validate biosignature thresholds with assembly-validate, or compare assembly pathways with assembly-compare.

Frequently Asked Questions about assembly-index

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I compute assembly index to measure molecular complexity?

Assembly index quantifies the minimal assembly steps needed to construct a molecule from primitives. Use the assembly-index computation to calculate this metric, which serves as a foundation for detecting biosignatures through complexity analysis in molecular workflows.

What does assembly index tell me about biosignatures?

Assembly index identifies biosignatures by combining molecular complexity with copy-number thresholds. Molecules with assembly index > 15 and copy counts > 1 signal potential biological origin, distinguishing synthetic or abiotic molecules from those likely produced by living systems.

Can I integrate mass spectrometry data with assembly index computation?

Yes. Assembly index workflows support MS2 and SDF input formats, correlating mass spectrometry abundance data with assembly DAGs. This integration validates biosignature signals by cross-referencing molecular complexity with observed MS fragmentation patterns in laboratory and computational analyses.

How do I validate and compare assembly pathways for different molecules?

Use assembly-validate to check biosignature thresholds against computed assembly indices, and assembly-compare to evaluate shortest construction paths across molecules. These tools enable pathway enumeration and DAG analysis for systematic biosignature identification.

What input formats does assembly index accept?

Assembly index accepts SDF (structure data format) and MS2 (tandem mass spectrometry) files. SDF provides molecular structures for pathway computation, while MS2 data supplies abundance and fragmentation information for integrated biosignature validation.

Do I need specialized knowledge to interpret assembly index results?

Assembly index applies dynamic programming and DAG construction internally. You need familiarity with molecular complexity concepts and biosignature thresholds (MA > 15, copies > 1), but the Skill handles shortest-path computation and substructure enumeration automatically through its command-line interface.