agentsclimarketplace

Run2 pareto optimization

Skill cxcscmu/SkillLearnBench/skills/b2-self-feedback-gemini-3.1-flash-lite-preview/dbscan-parameter-tuning/run2_pareto-optimization

[COLM'26] SkillLearnBench is the first benchmark for evaluating continual learning methods that automatically generate agent skills.

Install
npx -y skills add cxcscmu/SkillLearnBench --skill run2_pareto-optimization

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What its author says it does

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Identifying the Pareto frontier for a set of results, efficient implementation.

SKILL.md

0.3 KB, 57 tokens by cl100k_base, as published. Nobody here has run it

Logic

  1. Compare each point with all others in O(N^2) complexity.
  2. Ensure the condition covers all edge cases (e.g., F1=F1 and delta=delta).
  3. The result of a Pareto frontier search should include unique points.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.