add-mc-variance-reduction

add-mc-variance-reduction is a Physics, mathematics & simulation skill for AI agents, published by rust-dd in the stochastic-rs repository on GitHub. Skillspace rates add-mc-variance-reduction D (65/100) and it passed the safety scan; the rating is based on static analysis only.

How to add a Monte Carlo variance-reduction technique to stochastic-rs-quant. Covers antithetic, control-variate, stratified, importance, quasi-MC (Halton/Sobol), and MLMC. Returns McEstimate<T> with 95% CI.

Grade
D
Quality
65 / 100
Safety
Passed
GitHub stars
176

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 GitHubrust-dd/stochastic-rs

Our review

Architecture
94 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

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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