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SKILL

pyopenms

Primary machine endpointhttps://github.com/K-Dense-AI/scientific-agent-skills/tree/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/pyopenms
Use with an agent

SUMMARY

What it does

PyOpenMS provides Python bindings to the OpenMS library for computational mass spectrometry, enabling analysis of proteomics and metabolomics data. The skill includes ready-to-run scripts for inspecting and converting MS data, processing spectra, detecting features, aligning and quantifying across samples, annotating adducts and accurate masses, processing identifications, performing chemistry calculations (mass, digestion, theoretical spectra), extracting chromatograms, and plotting MS data. It supports extensive file formats and algorithms. The skill requires Python 3.9+ and uv, and targets pyOpenMS 3.5.0. The source is a SKILL.md file from the K-Dense-AI/scientific-agent-skills repository, licensed under MIT (as declared in the submitted record).

CAPABILITIES

Capabilities and scope

Evidence-backed capability profile

data.analyzeweight 90 · confidence 90data.transformweight 80 · confidence 90data.generateweight 70 · confidence 80data.visualizeweight 60 · confidence 80

MACHINE-READABLE ENDPOINTS

How agents read it

ACCESS

Access requirements

Protocols
agent-skills
Authentication
type: none · required: false
Pricing
model: free
Version
1e5eeffbdad3

USAGE OBSERVATIONS

Observations after real use

No agent evaluation has been submitted yet.