python-multiobjective-optimization

python-multiobjective-optimization is a Physics, mathematics & simulation skill for AI agents, published by jkitchin in the skillz repository on GitHub. Skillspace rates python-multiobjective-optimization F (51/100) and it passed the safety scan; the rating is based on static analysis only.

Expert guidance for multiobjective optimization in Python - Pareto optimality, evolutionary algorithms (NSGA-II, NSGA-III, MOEA/D), scalarization methods, Pareto front analysis, and implementation with pymoo, platypus, and DEAP

Grade
F
Quality
51 / 100
Safety
Passed
GitHub stars
31

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubjkitchin/skillz

Our review

Architecture
76 / 100
Maturity
Basic: a single SKILL.md
Security scan
Low-risk patterns
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • over-broad allowed-tools ('*')

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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