explain-greybox
explain-greybox is a Statistical modelling skill for AI agents, published by config-i1 in the greybox repository on GitHub. Skillspace rates explain-greybox D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Explain and interpret greybox outputs in plain language — ALM model summaries (coefficients, sigma, information criteria), confidence/prediction intervals, forecast accuracy measures, stepwise/CALM selection, RMCB/Nemenyi method comparisons, stick() STI decomposition, distributions, and association measures. Use when the user asks what a result means, how to read a summary or plot, which metric/distribution to pick, or why a model behaves a certain way — in either the R package or the Python port.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 32
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
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- LGPL-2.1
- Adoption
- Adopted by 1 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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