statistical-method-design
statistical-method-design is a Statistical modelling skill for AI agents, published by aiming-lab in the AutoResearchClaw repository on GitHub. Skillspace rates statistical-method-design D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Design statistical methods, baselines, diagnostics, variants, and ablations that directly address a formal problem formulation.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 13,814
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.
Our review
- Architecture
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 1 other repositories, in 0 collections
- Scope
- Portable: works in any project. General statistical method design methodology for research
Not checked 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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