statistical-testing

statistical-testing is an Experimentation & statistics skill for AI agents, published by uberdeveloper in the fastbt repository on GitHub. Skillspace rates statistical-testing C (73/100) and it passed the safety scan; the rating is based on static analysis only.

Rigorous statistical evaluation of trading strategy returns to determine if alpha is real or a statistical artifact. Supports hypothesis testing, benchmark comparison, conditional analysis, temporal validation, and distribution checks. Use when validating backtest results, comparing strategies, testing performance claims, optimizing parameters, or analyzing performance across market conditions.

Grade
C
Quality
73 / 100
Safety
Passed
GitHub stars
28

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
75 / 100
Maturity
Packaged: licensed, with a version or references
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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