benchmark-run-sizing

benchmark-run-sizing is a Runtime diagnostics & profiling skill for AI agents, published by NomicFoundation in the hardhat repository on GitHub. Skillspace rates benchmark-run-sizing D (62/100) and it passed the safety scan; the rating is based on static analysis only.

Analyzes the Hardhat regression benchmark history (the hardhat-benchmark-results repo's data.js) and recommends how many times each benchmark should run. It reads every commit's individual run times, computes each benchmark's per-commit coefficient of variation, removes outliers, takes the 95th-percentile CV, and sizes run counts for target noise levels (sigma = 3%, 1.5%, 1%, i.e. regression alert limits of 10% / 5% / 3%). Use when asked to right-size benchmark run counts, justify or revisit run counts, assess benchmark variance/noise, or decide whether to add or remove runs after changing the regression alert threshold.

Grade
D
Quality
62 / 100
Safety
Passed
GitHub stars
8,493

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

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

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

Our review

Architecture
84 / 100
Maturity
Structured: ships references or scripts
Security scan
Low-risk patterns
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections
Scope
Repo-internal: written for the repository it lives in. Maintainer analysis of Hardhat's own benchmark-results repository

What the scanner flagged

  • over-broad allowed-tools ('*')

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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